WC2026 Model Tracker
Bivariate-Poisson predictions vs actual results Β· a live, honest experiment

πŸ‡«πŸ‡· France vs Sweden πŸ‡ΈπŸ‡ͺ  WINNER HIT

FIFA World Cup 2026, Round of 32 Β· Neutral site (MetLife Stadium, East Rutherford)
Kickoff Jun 30, 2026 Β· 21:00 UTC
Round of 32 Β· who goes through
To advance: France 75.8%  /  Sweden 24.2%
= P(win in 90β€²) + Β½Β·P(draw); a level game at 90β€² goes to extra time / penalties (treated as a coin flip). 1X2 and Asian handicap (France -1.25) below are the 90-minute markets.
Final (90β€²) Β· France 3–0 Sweden
France advanced Β· model to-advance pick France 75.8% ADVANCE CALL HIT
Goals: 45' Kylian MbappΓ© (France); 53' Bradley Barcola (France); 74' Kylian MbappΓ© (France)
Actual stats: xG 3.24 – 0.7 Β· 10 corners Β· 0 cards (0 red)

Prediction vs result  5/8 markets hit

MarketModel calledActualOutcome
1X2FranceFrance (3-0)HIT
Score2-13-0MISS
O/U 2.5Over 2.5 (69.2%)3 goalsHIT
BTTSYes (63.0%)NoMISS
CornersUnder 8.5 (51.9%)10 cornersMISS
CardsUnder 3.5 (65.0%)0 cardsHIT
Red cardNo (87.8%)NoHIT
AHFrance -1.25Full WinHIT

Model vs market

MarketModelBook oddsBook p*EV
France win66.7%1.2775.4%-15.3%
Draw18.2%6.0015.9%+9.2%
Sweden win15.1%11.008.7%+65.9%
Over 2.5 goals69.2%1.4465.6%-0.0%
Under 2.5 goals30.8%2.7534.4%-15.4%
Both teams score: yes63.0%1.9150.0%+20.2%
Both teams score: no37.0%1.9150.0%-29.3%
Over 8.5 corners (exp 8.53)48.1%β€”β€”β€”
Under 8.5 corners51.9%β€”β€”β€”
Over 3.5 cards (exp 2.99)35.0%β€”β€”β€”
Under 3.5 cards65.0%β€”β€”β€”
Any red card12.2%β€”β€”β€”
Model-only estimates (no straight market equivalent): expected goals France 2.47 – 1.15 Sweden Β· fair Asian handicap France -1.25
In the table above, Model = our probability and Book odds / Book p* = the bookmaker's (p* has the margin removed). EV = value per unit staked at the model's probability (positive = model sees value). β€œβ€”β€ = market not in the captured feed.
Model reasoning (chain of thought)
PREDICTION RATIONALE β€” France vs Sweden  (FIFA World Cup 2026, Round of 32)
Venue: Neutral site (MetLife Stadium, East Rutherford)

1. DATA. Last-10 internationals (Sofascore interception scraper).
   France: record DWWWWLWWWW, 2.80 GF / 1.00 GA,
   xG 2.01 / xGA 0.87.
   Sweden: record LLDWWLDWLD, 1.80 GF / 2.10 GA,
   xG 1.28 / xGA 1.79.
   Opponent-strength tiers (configs.MASTER_TIERS) applied per match.

2. RATINGS. France atk 1.56 def 0.80; Sweden atk 1.15 def 1.25.
   NEUTRAL VENUE: home boost / away penalty set to 1.0/1.0 (both teams
   travel to a host-nation site; no host advantage applies β€” a key difference
   from the Korea/Canada/USA host-nation games). lambda France 2.47, Sweden 1.15
   after 90% model weight + shrink to 1.3 baseline.
   Injuries: {'France': ['No major absences reported'], 'Sweden': ['No major absences reported']}.
   Context: Round of 32. France heavy favourites vs Sweden. Expect the model to under-rate France (cold-on-elites). Knockout: a draw goes to ET/pens. Neutral venue.

3. MODEL. Bivariate Poisson (lambda3 0.12). 1X2 France 66.7% /
   draw 18.2% / Sweden 15.1%. Winner France; score 2-1; fair AH France -1.25.
   Over 2.5 69.2%; BTTS 63.0%.

4. EVENTS. Referee TBD: 4.2 Y + 0.13 R/match
   blended (weight 0.20) with WC base 2.6438 -> expected
   cards 2.99, P(over 3.5) 35.0%; P(any red)
   12.2%. Corners expected 8.5 (scale
   0.964) -> P(over 8.5) 48.1%.

5. LIMITATIONS. 10-match samples; hand-set tiers/priors; Poisson corners; lineups
   probable not confirmed; card base rate calibrated on only 4 WC matches.