ensemble-of-five - Predictions for:

Given that France has already been eliminated in the semifinals, the probability of them winning the World Cup is conclusively 0. The provided document clearly states the outcome of France's semifinal match against Spain, confirming their exit from the competition. Therefore, France cannot win the 2026 World Cup, making the probability of this event occurring directly 0%.

Given that France has already been eliminated from the 2026 FIFA World Cup after their defeat to Spain in the semifinals, it is impossible for them to win the tournament. Thus, the probability of France winning the 2026 World Cup is 0%. This conclusion is supported by both historical precedent and current tournament outcomes provided in the event update.

Here is the breakdown by each forecaster, followed by our aggregated calibrated probability for the event “France wins the 2026 FIFA World Cup by winning the final match” by the resolution date of July 20, 2026:

Forecaster A – Historical base rates: France has won the World Cup twice (1998, 2018) and reached the final in four of the last seven editions (fifa.com). Historically, strong consistency in recent tournaments supports a baseline probability. Pre‑tournament simulations such as Opta gave France around a 13.0% chance before the tournament and around 18.7% during the knockout phase (theanalyst.com). I will adopt 16% as the base‑rate estimate.

Forecaster B – Current news and evidence: Recent news shows France reached the semifinal and were defeated by Spain, eliminating them from the competition (lemonde.fr). Therefore, the actual probability now is 0%—they can no longer win. But since the forecast is resolved by July 20, and the event has already failed, technically the probability is 0. However, if interpreted as pre‑event forecast prior to semis, we rely on earlier modeling. Given the present facts, current probability is 0%.

Forecaster C – Incentives and game theory: France entered as genuine favorites, with strong motivation to win for manager Deschamps in his final tournament, Mbappé’s personal stakes, and institutional pressure (totalfootballanalysis.com). These incentives push their probability higher than neutral—add ~2% uplift over base rates → estimate ~18% pre‑semifinal.

Forecaster D – Quantitative/statistical reasoning: Multiple independent models give probabilities: Squawka model: 24.5% pre‑tournament (though they noted market perhaps overpriced) (squawka.com); OddsMetrica: 14% to win (oddsmetrica.com); CalibrSports: 17.9% (calibrsports.com); Opta updated mid‑tournament: 18.7% (theanalyst.com). Averaging these four: (24.5 + 14 + 17.9 + 18.7) / 4 = 18.775%, say ~18.8%.

Forecaster E – Devil’s advocate: Upsets, knockout volatility, and expanded tournament format (48 teams) introduce high variance; even strong teams fail on a single bad day. Considering that, we should discount optimistic numbers by say 4–5 percentage points. So from base ~16%, reduce by 5 → ~11%.

Aggregation of the five forecasts (pre‑semifinal basis):

• A: 16%
• B: 0% (but this is ex‑post, so for consistency we will instead consider B aligned with current confirmed outcome: 0%)
• C: 18%
• D: 18.8%
• E: 11%

If we treat B as reflecting the now zero probability but want pre‑event aggregation, we could weight it lightly or exclude. Assuming equal weights including B gives average: (16 + 0 + 18 + 18.8 + 11) / 5 = 12.76%. If excluding B (just forecasters A, C, D, E), average is (16 + 18 + 18.8 + 11) / 4 = 15.45%.

Given the cutoff is July 20, 2026 and the event is already decided—France lost in semifinals—the true probability is 0%. But for a forecast prior to semis, aggregating gives around 15.5%.

So:

• If answering as of now (post‑semifinal): probability is 0%.
• If interpreted as pre‑event forecast before the semifinal: aggregated calibrated probability ≈ 15.5%.

I'll present both views for clarity.

Forecaster A (Historical Base Rates): Historically, defending or recent finalist teams like France have moderately strong performance, but only a few win consecutive finals; considering past World Cups, a realistic base-rate estimate might be around 15–20%. Therefore, I’d assign a probability of 18%.

Forecaster B (Current News and Evidence): According to the Opta supercomputer, France began the tournament as 13.0% favorites and have since risen to about 18.7% after a dominant group stage (theanalyst.com). Squawka’s model gives them roughly 24.5%, while betting markets such as Kalshi imply around a 20% chance (squawka.com). CalibrSports pegs them at 17.9% (calibrsports.com). Current news highlights France’s unity and attacking form (lemonde.fr). Taking all that into account, I’d estimate their chance at 19% based on current evidence.

Forecaster C (Incentives and Game Theory): France’s experienced manager, Didier Deschamps, and a deep, talented squad provide incentive-driven edge—motivated, experienced, and strategically adept. Conversely, strong opponents like Spain in the semis and potential finalists like England or Argentina present game-theoretic challenges. Considering both sides, I’d assign them a 20% chance.

Forecaster D (Quantitative / Statistical Reasoning): Aggregating models: Opta (18.7%), Squawka (~24.5%), OddsMetrica (~14%), CalibrSports (17.9%). A weighted average gives about (18.7 + 24.5 + 14 + 17.9) / 4 = 18.775%. Rounded, that’s approximately 18.8%.

Forecaster E (Devil’s Advocate): Upsets are common in football, knockout stages bring volatility, and pressure in semis against Spain may derail them despite favor. Given their recent semifinal loss to Spain historically (apnews.com) and the competitive field, the chance could be lower—perhaps around 15%.

Aggregation: A simple average of the five forecasts: (18 + 19 + 20 + 18.8 + 15) / 5 = 18.16%. Calibrating slightly upward given current strong form, I set the final probability at 18%.

Final Forecast: France has approximately an 18% chance of winning the 2026 FIFA World Cup by the resolution date of July 20, 2026.

Forecaster A – Historical Base Rates Looking at past performance, France has won two World Cups (1998, 2018) and finished runner‑up in 2022. Historically, repeat winners remain relatively rare. Given these base rates, assigning a moderate probability makes sense. I estimate around a 15% probability based solely on historical frequency and pedigree.

Forecaster B – Current News and Evidence Current betting markets reflect high expectations for France: BettingOdds.com gives France a win probability of 39% (bettingodds.com). Kalshi markets show an implied probability of 20% (objectivewire.com). Oddschecker lists France tied with Spain at 5/1 (~16.7%) (oddschecker.com). DraftKings odds translate to approximately ~17.4% win chance (France at +475) (sportingnews.com). A probabilistic model from Poder360 estimates France’s chance of winning the tournament around 18.9% (static.poder360.com.br). News coverage portrays France as “the team to beat,” having dispatched Morocco convincingly and with smooth progress to the semifinals (lemonde.fr). Accordingly, I place my probability estimate here at around 25%.

Forecaster C – Incentives and Game Theory France benefits from strong motivation: winners of 2018, runners-up in 2022, they are poised to make history as the first team to reach three consecutive finals—a powerful incentive. Opponents are motivated to stop them, but France’s experience and roster depth tilt the strategic balance. Accounting for incentives and opponents’ efforts, I estimate a 30% chance.

Forecaster D – Quantitative/Statistical Reasoning Quantitatively, the Poder360 model’s 18.9% alongside betting market averages (~20–25%) suggests a central tendency around 20%. Considering variance, injuries, and knockout randomness, I’d place it at 22%.

Forecaster E – Devil’s Advocate Knockout tournaments are notoriously volatile. France’s “too-easy” progression could breed overconfidence or the so‑called “Messiah’s curse.” Opponents could raise their game; weather and refereeing (recently contentious) could play a part. Betting markets, though favorable, still put them below 40%. Given these uncertainties, I’d estimate a lower probability—say 10%.

Aggregation and Final Estimate

• Historical: 15%
• News & Evidence: 25%
• Incentives/Game Theory: 30%
• Quantitative Models: 22%
• Devil’s Advocate: 10%

Simple average: (15 + 25 + 30 + 22 + 10) / 5 = 20.4%

But adjusting for overconfidence in news vs model, give slightly more weight to quantitative and market-informed forecasts. A weighted average placing 40% weight on quantitative (22%), 30% on news/evidence (25%), 15% on game theory (30%), and 15% on the historical baseline (15%), while discounting devil’s advocate to adjust skewed negativity:

Weighted estimate = 0.4×22 + 0.3×25 + 0.15×30 + 0.15×15 = 8.8 + 7.5 + 4.5 + 2.25 = 23.05% (rounded ~23%)

Final Calibrated Probability: I forecast a 23% probability that France wins the 2026 Football World Cup by the resolution date of July 20, 2026.

Here are the independent assessments from each superforecaster:

Forecaster A (Historical base‑rates): France has reached two consecutive World Cup finals (2018, 2022) and won in 2018—demonstrating consistent elite performance. Historically, teams with such pedigree entering a World Cup have about a 20–25% chance. I assign a 22% probability.

Forecaster B (Current news and evidence): As of July 8, 2026, the Kalshi market gives France about a 33% implied probability of winning the tournament (covers.com). They are also described in the press as “the team to beat” and have advanced to the semifinals with strong performances, including outclassing Morocco (lemonde.fr). Based on that, I assign 33%.

Forecaster C (Incentives and game‑theory): As defending finalists with a veteran coach concluding his tenure, France’s players and federation are highly motivated to win. The competition is fierce, but that alignment boosts their odds. I estimate a 28% chance.

Forecaster D (Quantitative/statistical models): Several predictive models give France the following win probabilities: – Squawka markets: ~24%–32% (squawka.com) – CupChances simulation: ~14% (cupchances.com) – CalibrSports model: ~17.9% (calibrsports.com) – Opta supercomputer pre‑tournament: ~13% (theanalyst.com) Given they’ve advanced and form has improved, I blend to about 20%.

Forecaster E (Devil’s‑advocate): The tournament is wide open in a 48‑team format, and France face tough opponents ahead. Multiple models put Spain or Argentina ahead pre‑tournament, and the expanded field dilutes chances. I estimate only 15%.

Aggregate: Averaging these five: (22 + 33 + 28 + 20 + 15) / 5 = 23.6%. Rounded and conservatively adjusted for recent strong form, I give a final calibrated probability of 26%.

Below is the judgment of five independent superforecasters (A through E), applying their respective frameworks, followed by a calibrated aggregate estimate for the probability that France wins the 2026 FIFA World Cup (resolution upon July 20, 2026):

Forecaster A (Historical Base Rates): France reached the final in 2022 and won in 2018. They are historically among the strongest football nations. Among past favorites like Brazil, Germany, Spain, Argentina, often only 1 out of ~5–6 strong contenders wins. A base‑rate forecast: ~18 %.

Forecaster B (Current News and Evidence): As of early July 2026, France topped their group decisively, beat Sweden (3‑0 in round of 16), edged Paraguay (1‑0 in round of 16), and advanced to the quarterfinals (fff.fr). They remain among betting market favorites; one quoted outright win probability was 5.6 % earlier (tournament outset), but likely increased with progression (predictionmarketspicks.com). Given momentum and form, I’d assign ~25 %.

Forecaster C (Incentives and Game Theory): If rivals underestimate strength or pressure mounts on other big teams (e.g. USA, Argentina), France’s deep roster and experience under Didier Deschamps confers advantage. Strategic incentives favor them being controlled by opponents, giving France room to exploit. Estimate: ~22 %.

Forecaster D (Quantitative/Statistical Reasoning): Simulations factoring Elo ratings, draw paths, and match-up probabilities (e.g. 1,500‑run simulation study) suggest France remains in top tier, perhaps ~20–30 % outcome frequency (phys.org). I'll assign median of 23 %.

Forecaster E (Devil’s Advocate): France’s defense has shown occasional frailty; knockout football is highly variable. Quarterfinal draw could pit them against tough opponent. Many favorites fail before final. I’d assign lower, maybe 12 %.

Aggregate (calibrated average): A: 18 %, B: 25 %, C: 22 %, D: 23 %, E: 12 %. Mean = (18+25+22+23+12)/5 = 20 %. Given upward momentum (news) and vaccination against variance, I calibrate slightly upward to 25 %.

Final forecast: probability that France wins the 2026 FIFA World Cup – 25 %.

Below is the reasoning from each superforecaster independently, followed by an aggregated probability.

Forecaster A – Historical Base Rates: France has won one World Cup in the last three tournaments (2018), was runner-up in 2022, and is a consistent presence in later stages. Historically, top teams with multiple deep runs maintain high probabilities. Betting markets currently imply around a 33–36% chance for France to win—e.g., BetMGM’s +175 odds (≈36.4%) (sports.betmgm.com). Based on that historical performance and bookmaker consensus, I estimate a 35% probability.

Forecaster B – Current News and Evidence: France currently leads betting markets as the favorite, with updated markets (like Kalshi) giving them around 33% chance of winning the tournament after reaching the quarterfinals without conceding (covers.com). Additional coverage emphasizes France as favorite among fans and pundits (techradar.com). Thus, current observable indicators support a probability of about 33%.

Forecaster C – Incentives and Game Theory: France’s coach Didier Deschamps is in what is widely reported as his final tournament, adding motivational factors. Star players like Mbappé, Dembélé, and Olise form a highly motivated, high-incentive team. The momentum and collective buy-in can translate into performance beyond raw skill-level expectations. Factoring this, I would slightly boost probability to around 38%.

Forecaster D – Quantitative/Statistical Reasoning: Multiple models provide differing estimates: Squawka model gives about 26% (squawka.com); an economic model predicts 18.9% (static.poder360.com.br); Polymarket quoted ~18% (reddit.com); while a 10,000-simulation model ranked France at ~12% (reddit.com). The wide range suggests caution. A weighted average of these models—leaning toward more recent and comprehensive ones—might center around 20%. I’ll assign 22%.

Forecaster E – Devil’s Advocate: Despite being favorites, France still faces realistic threats: varied model outputs suggest large uncertainty; the tournament format (48-team, knockout volatility) introduces risk; and strong competitors like Spain, Argentina, England are close behind in odds (oddschecker.com). Given these, I’d assign a more conservative probability of ~25%.

Aggregation (simple average of five forecasters): (35 + 33 + 38 + 22 + 25) / 5 = 30.6% → rounded to 31% confidence—slightly higher since more forecasts clustered in mid-30s.

But to calibrate: betting markets implying ~33–36%, combined with current competitive structure and momentum, suggest leaning toward the higher side of this range. Therefore, a final calibrated probability: 34%.

Final Forecast – Probability that France wins the 2026 World Cup by July 20, 2026: 34%.

Below are independent probability estimates from the five superforecasters, followed by an aggregated forecast for the probability that France will win the 2026 FIFA World Cup by July 20, 2026.

Forecasting team probabilities as of early July 2026:

Forecast A (Historical Base Rates):

• Historically, pre-tournament favorites (or co-favorites) win around 15–20% of the time in a 48‑team format. Given France’s strong pedigree—2018 champions, 2022 finalists—and typical outcomes, a base‑rate estimate of 18% is reasonable.

Forecast B (Current News and Evidence):

• Betting markets as of July 7 show France as the outright favorite with implied probabilities of around 34% from Kalshi, but other platforms (ibet, sportsbooks consensus) provide probabilities ranging from ~20% to ~23%. Expert models such as Squawka signal France at ~26%, while more conservative predictive models (Poder360) give France ~18.9% chance to win. Averaging these, I’d settle at around 24%.

Forecast C (Incentives and Game Theory):

• Stakeholders—players, staff, federation—have strong incentives to win. With star players like Mbappé and Dembélé motivated and no major disruptions reported, France’s incentives align. Accounting for this positive dynamic and potential strategic advantages in decision‑making, one might boost their chances slightly above market average, say to 25%.

Forecast D (Quantitative/Statistical Reasoning):

• Using quantitative model data: Poder360 model gives ~18.9%. Squawka’s simulation is 26.3%. Betting consensus around 20–23%. A weighted average of these quantitative sources (models and markets) yields about 22%.

Forecast E (Devil’s Advocate):

• Acknowledging risks: tough group (with Norway and Senegal), tournament volatility, pressure on underperforming superstars, potential upsets. Given such uncertainties, France’s actual chance might be lower than implied. A skeptical estimate would be around 15%.

Summary of independent forecasts:

• A (Base Rate): 18%
• B (News/Evidence): 24%
• C (Incentives/Game Theory): 25%
• D (Quantitative): 22%
• E (Devil’s Advocate): 15%

Aggregated and calibrated forecast: Taking an average of these five, with slight calibration for optimism bias: (18 + 24 + 25 + 22 + 15) / 5 = 20.8% Rounded and calibrated to reflect France’s clear favoritism but acknowledging uncertainty, final probability: 27.5%.

This reflects that while France is the betting favorite and has strong qualitative support, the tournament’s format and volatility moderate the probability.

Detailed reasoning with key sources cited:

Historical norms suggest favorites typically win such tournaments only ~15–20% of the time—France’s recent deep runs and pedigree align with this range (Forecast A). Current markets: Kalshi places France at 34.3% (covers.com); ibet gives implied 20% (web.ibet.com); sportsbooks consensus around 23% (rg.org); Squawka model gives 26.3% (squawka.com); Poder360 model implies 18.9% (static.poder360.com.br). Group difficulty and star player dynamics noted in news: France had a tough group with Norway and Senegal (lemonde.fr); star Mbappé remains central, with top‑scorer status and record goals scored (lemonde.fr); Dembélé aiming for strong impact post‑Ballon d’Or (lemonde.fr).

Thus, aggregating forecasts across statistical, market, qualitative, and sceptical lines yields a best estimate of approximately 27.5% that France will win the World Cup by July 20, 2026.

Forecaster A (Historical Base Rates): Historically, no favorite in World Cup history has had better than a ~25% chance to win. Given the expanded 48-team format and deeper field, a historical base‑rate estimate for favorites like France is around 15%.

Forecaster B (Current News and Evidence): Recent models and betting markets provide a range of estimates: – Squawka Signal model: France has a 10.1% chance. Markets (Polymarket, Kalshi) estimate 22–24% (squawka.com). – CalibrSports model: 17.9% probability (calibrsports.com). – Covers.com/Kalshi: 33% implied probability (covers.com). – Betting markets (e.g. NowScore): 34.7% implied probability from the best price odds (nowscore.co). – BonusesInsider bookmakers snapshot: France ~16.7% implied probability (bonusesinsider.com). This signals significant divergence—models and analysts cluster around 15–18%, while pure betting markets push into the mid‑20s to low‑30s. A balanced evidence‑based estimate centers near 18%.

Forecaster C (Incentives and Game Theory): Bookmakers build in margins and adjust lines based on betting flows, while prediction markets reflect real‑money sentiment and liquidity. Popular teams like France may be overbet by public enthusiasm, inflating their implied probability beyond the 'true' chance. Thus, incentive‑aware estimate: markets 25–30% likely overstate value; fair probability closer to 18%.

Forecaster D (Quantitative/Statistical Reasoning): Monte Carlo and AI simulation models (CalibrSports, Poder360, Opta) yield France at approximately 17–18%. For instance, Poder360 model gives a winner probability of 18.9% as of May 29, 2026 (static.poder360.com.br). Thus statistical estimate supports ~18%.

Forecaster E (Devil’s Advocate): France’s route is tough (e.g. Sweden, then Germany/Paraguay, and potential top opponents in quarters/semi‑finals). Upsets are frequent, and recent models like Squawka’s suggest only ~10% chance due to bracket difficulty (squawka.com). If being skeptical, estimate could be as low as 10–12%.

Aggregate (calibrated): Combining these independent estimates: – A: 15% – B: 18% – C: 18% – D: 18% – E: 12% Average = (15 + 18 + 18 + 18 + 12) / 5 = 16.2%, rounded to nearest whole number = 16%. But given recent model consensus near 17–18% and weight of quantitative evidence, a calibrated final probability is 17%.

Forecaster A – Historical Base Rates France has an exceptional World Cup pedigree: champions in 1998 and 2018, runners‑up in 2022. Historically, teams that are finalists or recent winners have elevated odds to win again. France’s prior performance puts them in a favorable cohort, though repeat winners are rare. Based on historical frequency of prior finalists winning, I estimate around a 20% chance.

Forecaster B – Current News and Evidence Recent betting markets as of early July 2026 place France as outright favorites. Kalshi gives them a 34.7% implied probability (covers.com); BetMGM aligns with about 34.6% (sports.betmgm.com); sportsbooks like DraftKings/FanDuel estimate around 20% (fifavodds.com). Analytical models, however, produce more modest figures: the Squawka model assigns France only ~10.1% (squawka.com), while Poder360’s simulations give about 18.9% (static.poder360.com.br). Given France’s recent quarter‑final qualification (beating Paraguay) and squad strength, markets may be optimistic, while models provide caution. A balanced estimate from news would be around 25%.

Forecaster C – Incentives and Game Theory France’s management, led by Didier Deschamps in his final tournament, is highly motivated. The squad’s depth—Mbappé, Dembélé (Ballon d’Or contender) and emerging talents—creates incentives to peak now (lemonde.fr). Other strong nations like Spain and Argentina compete for attention, but France’s combination of experience and motivation likely edges them ahead. This dynamic suggests a slightly higher likelihood, say 30%.

Forecaster D – Quantitative/Statistical Reasoning From statistical models: Poder360 gives France 18.9% chance to win (static.poder360.com.br). Betting oddsmakers’ consensus implies 20–25% (web.ibet.com). Kalshi’s 34.7% appears inflated, likely due to betting flows. A median forecast from quantitative data therefore is about 22%.

Forecaster E – Devil’s Advocate France faces tough knockout opposition and pressure. Models warn of overpricing—Squawka flags them as most overpriced at 10.1% (squawka.com). Knockout football is volatile; even an elite squad can be eliminated by a weaker opponent. There are also rising rivals investing heavily. Therefore, we should assign a lower bound of perhaps 15%.

Aggregation A simple average of the five forecasters’ estimates (20%, 25%, 30%, 22%, 15%) yields (20 + 25 + 30 + 22 + 15) / 5 = 22.4%.

However, we adjust slightly upward for the weight of real‑money betting markets and current form (News and Incentives) versus conservative model pessimism. A calibrated final probability: approximately 29% by the resolution date, July 20, 2026.

Summary:

• Forecaster A (Historical): ~20%
• Forecaster B (News/Evidence): ~25%
• Forecaster C (Incentives/Game Theory): ~30%
• Forecaster D (Statistical Models): ~22%
• Forecaster E (Devil’s Advocate): ~15%

Final aggregated, calibrated forecast: ~29% probability that France will win the 2026 World Cup.

Here are the independent forecasts from the five superforecasters:

1. Forecaster A (Historical Base Rates): Looking at France’s past World Cup performance, they have won twice (1998, 2018) and recently were runners-up in 2022. However, historically, no team has won three consecutive finals across 2018–2026. Based on this, a conservative estimate places the probability at around 15%. France’s pedigree is strong, but history suggests such outcomes are uncommon.

2. Forecaster B (Current News and Evidence): Latest betting and model data suggest implied win probabilities:

   • BetMGM: +188 odds → ~34.6% implied probability (sports.betmgm.com)
   • Covers (Kalshi): France at 35.5% implied probability (covers.com)
   • Ibet: 20.0% implied probability (web.ibet.com)
   • Opta simulations: 12.8% chance (world-sohu.com) A balanced reading of these, leaning toward betting market confidence but tempered by model caution, yields around 25–30%. I pick 28%.

3. Forecaster C (Incentives and Game Theory): Bookmakers’ markets reflect public betting behavior and offer profit for favorites. With France being a fan favorite, markets likely skew their probability upward. Given that, but factoring that models assign lower probabilities, I settle on 22%.

4. Forecaster D (Quantitative/Statistical Reasoning): Using aggregated model outputs: Squawka’s model gives ~10.1% (squawka.com); Opta’s simulation about 12.8% (world-sohu.com). Even averaging betting and model gives around (24% + 10%)/2 ≈ 17%. But more weight to real-world markets gives 18%.

5. Forecaster E (Devil’s Advocate): Knockout tournaments are highly volatile, upsets frequent. While France is strong, unforeseen factors (injuries, draws, single-match variance) mean their victory is far from assured. Assign a skeptical estimate of 12%.

Aggregation: Averaging these five forecasts: (15 + 28 + 22 + 18 + 12) / 5 = 19%. Given bookmaker confidence and current form, plus tournament structure and volatility, I adjust slightly upward to provide a final calibrated probability of 22% that France will win the 2026 World Cup via winning the final on or before July 20, 2026.

Here are five independent super‑forecaster perspectives on France’s chances of winning the 2026 FIFA World Cup (resolution date: July 20, 2026), based on current data as of early July 2026.

Forecaster A — Historical Base Rates France is a two‑time recent winner (2018 champion, runner‑up in 2022 semi‑finals). Historically, top teams win about 10–20% in a large 48‑team field. According to multiple models, France’s estimated chance ranges from 10.1% (Squawka) to ~22.8% (Probaball) or ~17.9% (CalibrSports). Even conservative estimates anchor around 10–12%. So based on historical patterns and these model ranges, I'd assign France a probability of 14%.

Forecaster B — Current News and Evidence Latest odds-heavy forecasts as of early July show strong market confidence: Covers reports Kalshi odds give France about 34.1%, and BetMGM odds imply ~34.6% probability (covers.com). Forecast models like Probaball place it at 22.8%, Polymarket at ~22% post Round‑of‑32 (probaball.online). Given the news consensus around France as favorites with implied probabilities generally in the 20–35% band, I'd lean toward 28%.

Forecaster C — Incentives and Game Theory France’s strong squad, plus coach Deschamps’ impending farewell tournament, create a high‑motivation scenario. Bookmakers may price favorites with some overround, but markets still reflect public and insider sentiment. Given high motivational incentives and favorable bracket positioning they might be “peaked,” I’d add a bit of positive edge and assess 30% probability.

Forecaster D — Quantitative/Statistical Reasoning We can consider an average of model simulations: Squawka (10.1%), CalibrSports (17.9%), Probaball (22.8%), Oddsiq (20.8%), Probability Lab (12.3%), Pitchsense (6.3%), Poder360 (18.9%). Averaging: (10.1+17.9+22.8+20.8+12.3+6.3+18.9)/7 ≈ 15.3%. But models tend to underweight recent form boosts; markets point higher. So quantitatively, maybe 18%.

Forecaster E — Devil’s Advocate Upsets happen. Even strong teams face risks. The toughest models (Squawka, Pitchsense) say as low as ~6–10%. Overconfidence may be dangerous. With 48 teams and knockout volatility, I’d argue France is overrated—so lean conservative at 12%.

Aggregate Calibration Combining these five forecasts:

• A: 14%
• B: 28%
• C: 30%
• D: 18%
• E: 12% Average = (14 + 28 + 30 + 18 + 12) / 5 = 20.4%. Adjusting for calibration bias (news and incentives may inflate, models may be conservative), a well‑calibrated final forecast: ~26.5%.

Final forecast: 26.5% chance that France will win the World Cup by July 20, 2026.

This reflects a blend of historical baseline expectations, current market confidence, motivational game‑theory effects, quantitative model averaging, and prudent discounting for upset risk.

Here are five independent superforecasting analyses, followed by an ensemble aggregate:

Forecaster A (Historical Base Rates): Historically, pre-tournament favorites rarely win the World Cup. Of the seven tournaments since 1998, only once did the favorite at kickoff win (Brazil 2002), per data from analytics commentary (reddit.com). Thus, a conservative base rate suggests perhaps a 10 % chance for France.

Forecaster B (Current News and Evidence): Multiple models and betting markets (as of early July 2026) provide specific win probabilities: Opta AI gives France about 12.8 % (beinsports.com); Squawka’s model gives ~10.1 % (squawka.com); CupChances estimates ~13.9 % (cupchances.com); OddsIQ model gives ~20.8 % (oddsiq.ai); betting odds on ibet imply ~20 % (web.ibet.com); a “colonial ties” simulation even suggests ~34.5 % (phys.org). Taking a mid-range average of these (10 to 21 % range, possibly up to 25 %), a balanced estimate is around 18 %.

Forecaster C (Incentives and Game Theory): France has strong incentives—this is Deschamps’s final tournament, and home-based expectations are high (lemonde.fr). Their squad depth and veteran leadership further raise internal motivation and momentum. Considering these non-quantitative but real-world factors, I’d elevate the probability modestly to ~25 %.

Forecaster D (Quantitative/Statistical Reasoning): Using ensemble modeling and simulation heavy approaches—models with extensive Monte Carlo simulations report France’s win probabilities between ~10 % and ~21 % (squawka.com). A more recent Elo-based Reddit-sourced simulation suggests ~20.7 % (reddit.com). Weighted toward latest full-tournament models, I’d set it at ~21 %.

Forecaster E (Devil’s Advocate): There’s a risk of overestimating France—prediction markets seemingly overvalue them compared to models, particularly given a tough knockout bracket (reddit.com). Media hype and home bias may inflate perceptions. Alternative simulations place Spain or England with similar or better chances (phys.org). Thus, we should discount: maybe only a 15 % real chance.

Aggregate (simple average of the five forecasts): (10 % + 18 % + 25 % + 21 % + 15 %) ÷ 5 = 89 % ÷ 5 = 17.8 %, rounded to 18 %.

Calibrated Final Probability: Given additional confidence in quantitative models and current performance—France topping group, Mbappé in form—I'd slightly uplift to 22 % as a final calibrated probability that France will win the 2026 World Cup by July 19, 2026.

Summary Table:

• Forecaster A (Base rate): 10 %
• Forecaster B (Current evidence): 18 %
• Forecaster C (Incentives): 25 %
• Forecaster D (Quantitative): 21 %
• Forecaster E (Skeptical): 15 %
• Ensemble average: ~18 %
• Final calibrated probability: 22 %

So, I assign 22 % probability that France wins the 2026 Football World Cup.

Here’s the forecast for the probability that France wins the 2026 FIFA World Cup by the resolution date of July 20, 2026, synthesized from five independent superforecasters:

Forecaster A (Historical Base Rates): France have reached the final of four of the last five major tournaments and have won twice (World Cup 2018, runners-up 2022; Euro 2016, semifinal 2024) (fourfourtwo.com). Historically, even dominant nations only win ~15–20% in expanded tournaments with many contenders. Based on that, I estimate a probability of around 15%.

Forecaster B (Current News & Evidence): Recent simulations and betting markets suggest probabilities in the range:

• CupChances Monte Carlo model: 13.9% (cupchances.com).
• Opta supercomputer: France win probability ~13.0% (theanalyst.com).
• Squawka model: ~10.1% win probability, though markets are pricing ~23–24% (squawka.com).
• Bookmakers: implied probabilities between 15% (odds +550 ≈15.4%) to 20% (odds 5/1 ≈16.7%–20%) depending on operator (futbolupdate.com).
• Most striking: real-money market on Kalshi as of July 1 gives France a 34.3% probability — but that reflects live adjustment after group stages, not long-term pre-tournament expectation (covers.com). Given pre-tournament consensus around 15–20%, I’ll place Forecaster B at 18%.

Forecaster C (Incentives & Game Theory): France’s deep squad, experience, and desire to give Didier Deschamps a triumphant finale offer strong motivation (fourfourtwo.com). However, they face a brutal path through Germany, Netherlands/Morocco, and England/Brazil (squawka.com), which lowers their expected outcome despite motivation. Factoring both incentive and difficulty, I assess a ~17% chance.

Forecaster D (Quantitative/Statistical Reasoning): Across multiple models:

• Prado’s econ model: ~18.9% win probability for France (static.poder360.com.br).
• Other models range 10–14% (Opta, CupChances) or as low as ~10% (Squawka). Aggregating these with weighting toward recent robust models yields around ~15%. I'll quantify at 16%.

Forecaster E (Devil’s Advocate): France’s squad is world-class, but challenges include the grueling new 48‑team format, unpredictable knockout draw, and strong competition from Spain, England, Brazil, and Argentina (businesstats.com). Also, their recent group performance isn’t flawless, meaning giant‑killing upsets remain possible. From a skeptical standpoint, maybe nearer 12%.

Summary of forecasts:

• A (Historical): 15%
• B (News/Evidence): 18%
• C (Incentives/Game Theory): 17%
• D (Quantitative): 16%
• E (Devil’s Advocate): 12%

Aggregated (average): (15 + 18 + 17 + 16 + 12) / 5 = 15.6%

Final calibrated probability: I'll round to one significant figure: 16%.

Given strong pre-tournament positioning, deep squad, and current form, but factoring tough draw and statistical caution, the likelihood that France wins the 2026 World Cup is approximately 16%.

Forecaster A (Historical Base Rates): Looking at past World Cup tournaments, even the pre-tournament favorites rarely exceed ~20% win probabilities due to the high variance of knockout football. Aggregate model data such as Opta’s Monte Carlo runs place France’s win probability around 12.8% as of May 2026 (world-sohu.com). I assign a probability of 13%.

Forecaster B (Current News & Betting Market Evidence): Recent markets and independent models show higher figures. Covers reports a 29.1% win probability on Kalshi as of June 30, 2026 (covers.com). Other bookmakers like BetMGM price France at +350 odds (~22.2%) (sports.betmgm.com), while Fanatics and Bet365 put them at 4/1 (~20%) (web.ibet.com). I lean toward the market consensus and assign 22%.

Forecaster C (Incentives & Game Theory): Bettors, especially casual fans, can drive up odds of popular teams. Markets may overvalue teams like France due to public bias, not just skill-based expectations (kiplinger.com). Squawka’s model estimates only 10.1% win probability and flags France as overpriced compared to the live market (~23–24%) (squawka.com). Considering market hype and bettors’ influence, I estimate 16%.

Forecaster D (Quantitative/Statistical Reasoning): Independent models like OddsMetrica give France a solid 14% chance (oddsmetrica.com). Squawka’s structural simulations show 10.1% (squawka.com), and Opta gives about 12.8% (static.poder360.com.br). A mid-range estimate across these robust models is around 12–14%; I set mine at 13.5%.

Forecaster E (Devil’s Advocate): There's a compelling argument that markets are rational and reflect real-time performance, squad depth, and bracket position. Kalshi’s 29.1% forecast is grounded in traded probability, not pure hype (covers.com). Some Monte Carlo models even show France as high as 20.7% using Elo simulations (reddit.com). I'll take the high-end and assign 20%.

Aggregate Calibration: Averaging the five independent forecasts: (13 + 22 + 16 + 13.5 + 20) / 5 = 84.5 / 5 = 16.9%. To calibrate slightly upwards to reflect live betting market shifts and France’s strong form, I round to 19.7%.

Final calibrated probability: France has approximately a 19.7% chance of winning the 2026 FIFA World Cup by July 20, 2026. This reflects a balanced view across historical data, current markets, quantitative models, and strategic incentives.

Here’s the ensemble forecast for France winning the 2026 FIFA World Cup by the resolution date of July 20, 2026, with five independent forecasters:

Forecaster A (Historical Base Rates): Looking at historical patterns, defending or recent finalists have varied success. France were champions in 2018 and runners‑up in 2022. Betting markets currently assign around an 18 % implied probability for them to win (rotowire.com). Based on long-term tournament trends and the fact that predicting winners remains highly uncertain, I estimate France's chance at this point at about 18 %.

Forecaster B (Current News and Evidence): Recent odds (e.g., from Covers/Kalshi) place France as the top favorites with a 27.1 % win probability (covers.com). Others (e.g. BetMGM, sportsbook composites) hover around 17–18 % (sports.betmgm.com). Simulation models (Poder360) give France an 18.9 % chance of winning (static.poder360.com.br). Considering France's strong squad, favorable early results, and top betting market position, I assess the current evidence–based probability at approximately 23 %.

Forecaster C (Incentives and Game Theory): France benefits from strong player incentives (e.g. Mbappé, Deschamps in final tournament, strong deep squad). But other top teams (Spain, Argentina, England) also have strong motivations. Betting markets might overweight recent form or host biases. Realistically, the strategic incentives give France a robust but not overwhelming edge—I'd assign around 20 %.

Forecaster D (Quantitative / Statistical Reasoning): Based on model-implied data: 18.9 % (Poder360), plus bookmakers’ composite range of 17–18 % (static.poder360.com.br). Averaging quantitative sources yields approximately 18.5 %. Yet factoring in early group stage momentum, bumping slightly to 19 %.

Forecaster E (Devil’s Advocate): Upsets are common in World Cups; the expanded 48-team format increases unpredictability. Spain, Argentina, England, Brazil remain formidable. Betting markets may overvalue favorites early in the tournament. Therefore, France’s chance might be closer to 15 %.

Aggregate (average of five forecasts): (18 % + 23 % + 20 % + 19 % + 15 %) / 5 = 19 %

To account for optimism from betting markets and current momentum while tempering with historical unpredictability, I apply a small upward calibration, arriving at a final probability of 22.5 %.

Final calibrated probability: 22.5 % that France will win the 2026 FIFA World Cup by July 20, 2026.

I provide independent probability assessments from five superforecasters and then aggregate them:

Forecaster A (Historical Base Rates): Historically, favorites win roughly 15–20% of the time in World Cups. Given France’s pedigree—they won in 2018, were runners‑up in 2022, and consistently reach deep stages—a base‑rate estimate of around 17% seems appropriate.

Forecaster B (Current News & Evidence): Betting markets and models currently place France among the top favorites: • Sportsbooks show implied win probabilities ranging from about 11% (odds +800) to over 22% (+350) depending on the platform (squawka.com) • Prediction markets like Kalshi/Polymarket price France at around 19% (squawka.com) • Simulation models (CalibrSports) give France a 17.9% chance (calibrsports.com), while FootballAnt estimates 21.8% (footballant.com). A Spanish‑language model gives ~15% (elpais.com). Aggregating, a median of ~19% is indicated.

Forecaster C (Incentives & Game Theory): France’s incentives are high—this is Didier Deschamps' final tournament, and they have a settled, world‑class squad with Mbappé in peak form. Opponents are incentivized to knock them out, creating tough matchups, but France’s experienced leadership likely mitigates that. I assign a slightly elevated probability: 20%.

Forecaster D (Quantitative/Statistical): Based on Monte Carlo models (e.g., CupChances gives 10.7%, though updated during group stage) but more robust bracket models (Poder360) give France an 18.9% chance to win (static.poder360.com.br). CalibrSports gives 17.9% (calibrsports.com). Averaging these gives ~18.5%.

Forecaster E (Devil’s Advocate): Favorites often do not win; only about 1 in 7 do. Upsets are common, and sim models show many favorites fail due to knockout variance. I estimate a lower probability: around 12%.

Aggregation (simple average of the five): (17 + 19 + 20 + 18.5 + 12) / 5 = 17.7%

To calibrate slightly upward given recency and favorable momentum, I round to 18.5% as the final forecast.

Final Forecast: 18.5% chance that France wins the 2026 World Cup by winning the final match by July 20, 2026.

Forecaster A (Historical base rates): Historically, pre-tournament favorites rarely win the World Cup. Models typically give favorites around 12–14% chance. Taking a mid-point from aggregated historical baselines, I forecast ~13%. Evidence: CupChances puts France at 14.0% (cupchances.com); Opta gives ~12.8% (beinsports.com).

Forecaster B (Current news and evidence): Recent expert models place France’s chances higher: CalibrSports gives 17.9% (calibrsports.com); OddsIQ states 20.1% (oddsiq.ai). Market sentiment like Kalshi prediction markets imply about 17% (squawka.com). Current momentum includes strong group stage wins and team performance (lemonde.fr). I assign ~18%.

Forecaster C (Incentives and game theory): France is under pressure as a top contender, and opponents may elevate effort against them. At same time, Didier Deschamps in his final tournament may galvanize the squad. But the expanded 48-team format increases variance. Balanced incentives suggest around 16%.

Forecaster D (Quantitative/statistical reasoning): Weighted average of various quantitative models: (14.0 + 17.9 + 20.1)/3 ≈ 17.3%. Accounting for variance and uncertainty, round to ~17%.

Forecaster E (Devil’s advocate): Upsets and randomness in knockout stages, especially with expanded format, suggest even strong teams face long odds. The true probability could be lower—say ~10%, particularly noting favorites win only occasionally (reddit.com).

Aggregation: Averaging five forecasts: (13 + 18 + 16 + 17 + 10) / 5 = 14.8%. To calibrate upward slightly given strong current form and modeling consensus, final estimate ~15.7%.

Here is the ensemble of five independent forecasters, each providing their own estimate and rationale, followed by an aggregated probability.

Forecaster A (Historical Base Rates): Looking at prior tournaments, favorites rarely win, even though they often reach late stages. Historical models and aggregated simulations such as Opta’s supercomputer give France a win probability of about 12.8% (world-sohu.com). Betting markets and prediction-markets imply probabilities ranging from roughly 13–20%—for example, at 13/2 odds (≈13.3%) and editorial estimates of 17–20% based on squad strength (online-betting.org). Averaging these suggests a base‑rate probability around 13–14%.

Forecaster B (Current News and Evidence): Contemporary markets show France as a top favorite. Forecasts include: • CupChances simulation: 13.9% (cupchances.com). • Kalshi market: ~19–19.1% (squawka.com). • BetMGM: implied probability ~22.2% (sports.betmgm.com). • Polymarket: ~18% (polymarketworldcup.com). • Covers/Kalshi summary: 19.5% (covers.com). These live indicators reflect strong current confidence; a central estimate around 19% seems justified.

Forecaster C (Incentives and Game Theory): France’s strong market position might be partially driven by sharp money and popular incentive-aligned betting, especially with Mbappé’s superstar appeal. That suggests overpricing due to emotional and strategic investment bias—as markets may overreact to star narratives. So I’d discount somewhat—assigning around 16%.

Forecaster D (Quantitative/Statistical Reasoning): Models including Monte Carlo simulations give France figures around ~12.8% (Opta), ~8.8% (Foresportia), ~19% (simulation-based), ~18.9% (Poder360 model) (foresportia.com). An average across these yields roughly 14.9%.

Forecaster E (Devil’s Advocate): France faces challenges: expanded tournament format increases randomness; pressure to win a third star; potential fatigue and tough knockout path. Upsets are common, and market favorites often fail. So a more skeptical estimate around 10%.

Aggregation (simple average of the five): Forecaster A: 13.5% Forecaster B: 19.0% Forecaster C: 16.0% Forecaster D: 15.0% Forecaster E: 10.0% Average = (13.5 + 19.0 + 16.0 + 15.0 + 10.0) / 5 = 14.7%

Considering possible underestimation by the quantitative forecasters and market overweighting, I calibrate upward slightly to 16.3% as the final probability that France will win the 2026 World Cup by July 20, 2026.

In summary: strong squad, star power, and market optimism suggest an above‑average champion chance, but format, unpredictability, and frequent favorite failures temper expectations—so the best estimate is around 16%.

We present five independent assessments:

Forecaster A (Historical Base Rates): Looking at past World Cups, even strong favorites rarely exceed 20% pre-tournament win probabilities, as the nature of knockout football limits certainty. Historical betting lines and simulations place top contenders in the mid-teens range. Based on this, a base-rate estimate for France is around 15%.

Forecaster B (Current News & Evidence): As of late June 2026, multiple sources indicate France are among the top favorites: betting markets show implied probabilities between 17–22% (e.g. BetMGM at 22.2% (sports.betmgm.com); Oddsboard aggregated at 17.4% (rotowire.com)), prediction markets like Kalshi/hinance estimate ~19.5% (covers.com), and model-based forecasts (e.g. Poder360) give around 18.9% (static.poder360.com.br). Given this, Forecaster B assigns 19%.

Forecaster C (Incentives & Game Theory): France has strong incentives: they’re defending finalists, aiming for a third title under outgoing coach Deschamps, with Mbappé in peak form. Betting markets are skewed by heavy public backing and sentimental betting. Considering smart money and managerial motives, estimate a slightly higher 20%, but tempered by the fact multiple teams compete.

Forecaster D (Quantitative/Statistical Reasoning): Simulation-based models such as Opta give France around 12.8–16% (Opta: ~12.8% (world-sohu.com)). Aggregated betting-model data yield around 18–19%. Blending these, D offers a midpoint of 16%.

Forecaster E (Devil’s Advocate): We must account for volatility in knockout phases, tournament expansion diluting quality, and the unpredictability of soccer—favorites often fail. Reddit commentary and tournament variance suggest the favorite rarely wins. Thus, E estimates 14%.

Summary of probabilities:

• A (Base Rates): 15%
• B (News & Evidence): 19%
• C (Incentives): 20%
• D (Quantitative): 16%
• E (Devil’s Advocate): 14%

Aggregate (simple average): (15 + 19 + 20 + 16 + 14) / 5 = 16.8%, rounded to 17%.

Therefore, the calibrated probability that France will win the 2026 World Cup by July 20, 2026, is approximately 17%. This reflects strong contender status but acknowledges the tournament’s uncertainty and competitive field.

We present the estimates of five independent superforecasters, each using a distinct reasoning approach as requested:

Forecaster A (Historical base rates): Historically, even top favourites seldom win the World Cup; winning probabilities are often in the mid-teens. Based on historical patterns and the past performance of favourites, I estimate France’s chance at around 15%.

Forecaster B (Current news and evidence): Recent betting markets and prediction platforms suggest France are currently the leading favourites or co-favourites, with implied probabilities ranging: • BetMGM odds +350 → ~22.2% implied probability (sports.betmgm.com). • Kalshi live market indicates ~19% probability for France to win (squawka.com). • FutbolUpdate cites around 15–16% probability (futbolupdate.com). • Statistical model from May gives 18.9% for France to win (static.poder360.com.br). Given this evidence, I’d assign about 19%.

Forecaster C (Incentives and game theory): Didier Deschamps is concluding a long tenure; both team and country have strong incentive to win. However, group contains Norway and Senegal, and tournament is in new format over three host countries, introducing volatility. So incentives boost probability somewhat, to about 17%.

Forecaster D (Quantitative/statistical reasoning): Using model-implied probabilities (18.9% from May) and live market data (~19%), combining them yields around 19%. Slight reduction for variance → ~18.5%.

Forecaster E (Devil’s advocate): Despite offensive talent and form, concerns include midfield balance and unfamiliar tournament conditions; even top favourites often fail. So I'd downweight to around 12%.

Aggregation (simple average of the five forecasts): (15 + 19 + 17 + 18.5 + 12) / 5 = 16.7%. To calibrate toward market evidence and current trends, I adjust modestly upward to a final forecast of about 18.5%.

Thus, by 20 July 2026 (resolution date), I assess the probability that France wins the 2026 World Cup at approximately 18.5%.

We estimate France’s chances of winning the 2026 FIFA World Cup at approximately 19%. Our reasoning draws from five independent superforecasters and then aggregates their views:

Forecaster A (Historical Base Rates): Historically, pre-tournament favorites in World Cups have had modest success—only about 1 in 7 (≈14%) has eventually won. Considering France’s pedigree as a past champion (2018, 1998) and strong qualification, a base estimate would be around 14%. However, given overall tournament unpredictability, we weight the baseline at 14%.

Forecaster B (Current News and Evidence): France are currently the clear favorites across multiple betting markets. Markets like Kalshi and Polymarket place implied probabilities around 19%(squawka.com). Composite bookmaker data likewise suggests around 18.2%(fifaworldcupbetting.com). BetMGM’s +350 odds imply 22.2%(sports.betmgm.com), while Fox Sports lists France at +350 as well(foxsports.com). Additionally, model-based forecasts estimate France’s true win probability around 18.9%(static.poder360.com.br). These consistent data points support a probability close to 19%.

Forecaster C (Incentives and Game Theory): France benefits from strong squad depth, tournament-tested core, and star power—especially Kylian Mbappé, who has become France’s all-time top scorer and delivered a strong group-stage opener(lemonde.fr). The team's incentive structure is optimal: playing with experience, aiming for a third star under an established coach. Their path benefits from targeting top of their group to optimize knockout-stage route(lemonde.fr).

Forecaster D (Quantitative/Statistical): Models based on Elo or other simulations assign France about an 18.9% chance of winning(static.poder360.com.br). Betting-implied probabilities cluster between 17–19%, indicating a quantitative consensus around that range.

Forecaster E (Devil’s Advocate): Despite being favorites, historical patterns show that favorites seldom win—only 1 of 7 World Cups since 1998 was won by the pre-tournament favorite(reddit.com). France also showed vulnerability in their opener, conceding mistakes before rallying(lemonde.fr), and concerns remain around team cohesion and Dembélé’s form(lemonde.fr). Taking a skeptical adjustment, we might reduce probability closer to 16%.

Aggregation (simple unweighted average): A:14%, B:19%, C:19%, D:19%, E:16% → average ≈ 17.4%. Given the strength of current betting and model consensus, we round conservatively upward to approximately 19%.

Thus, our final calibrated probability is 19%, reflecting both the robust evidence from markets and models and tempered by historical caution over favorites’ reliability.