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

πŸ‡«πŸ‡· France vs Senegal πŸ‡ΈπŸ‡³  WINNER HIT

FIFA World Cup 2026, Group I, Matchday 1 Β· MetLife Stadium, East Rutherford NJ (sea level, neutral site)
Kickoff Jun 16, 2026 Β· 19:00 UTC
Final Β· France 3–1 Senegal
Goals: 66' Kylian MbappΓ© (France); 82' Bradley Barcola (France); 90' Kylian MbappΓ© (France); 90' Ibrahim Mbaye (Senegal)
Actual stats: xG 1.79 – 0.53 Β· 10 corners Β· 0 cards (0 red)

Prediction vs result  6/8 markets hit

MarketModel calledActualOutcome
1X2FranceFrance (3-1)HIT
Score1-13-1MISS
O/U 2.5Under 2.5 (51.2%)4 goalsMISS
BTTSYes (53.9%)YesHIT
CornersOver 8.5 (55.0%)10 cornersHIT
CardsUnder 3.5 (51.7%)0 cardsHIT
Red cardNo (89.1%)NoHIT
AHFrance -0.25Full WinHIT

Model vs market

MarketModelBook oddsBook p*EV
France win45.7%1.4465.5%-34.2%
Draw27.0%4.5021.0%+21.3%
Senegal win27.3%7.0013.5%+91.3%
Over 2.5 goals48.8%1.9150.0%-6.8%
Under 2.5 goals51.2%1.9150.0%-2.3%
Both teams score: yes53.9%2.0046.7%+7.8%
Both teams score: no46.1%1.7553.3%-19.3%
Over 8.5 corners (exp 9.04)55.0%β€”β€”β€”
Under 8.5 corners45.0%β€”β€”β€”
Over 3.5 cards (exp 3.59)48.3%2.0046.3%-3.4%
Under 3.5 cards51.7%1.7353.7%-10.7%
Any red card10.9%β€”β€”β€”
Model-only estimates (no straight market equivalent): expected goals France 1.52 – 1.14 Senegal Β· fair Asian handicap France -0.25
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 Senegal  (FIFA World Cup 2026, Group I, Matchday 1)
Venue: MetLife Stadium, East Rutherford NJ (sea level, neutral site)

1. DATA. Last-10 internationals (Sofascore interception scraper).
   France: record WWWDWWWWLW, 2.50 GF / 0.90 GA,
   xG 2.34 / xGA 0.86.
   Senegal: record DWWWWLWWLD, 1.60 GF / 0.90 GA,
   xG 2.29 / xGA 1.27.
   Opponent-strength tiers (configs.MASTER_TIERS) applied per match.

2. RATINGS. France atk 1.49 def 0.82; Senegal atk 1.02 def 0.82.
   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 1.52, Senegal 1.14
   after 85% model weight + shrink to 1.3 baseline.
   Injuries: {'France': ['No major absences reported'], 'Senegal': ['No major absences reported']}.
   Context: Marquee Group I clash. France elite; Senegal a strong AFCON-calibre side. Competitive, both well-covered. Neutral venue.

3. MODEL. Bivariate Poisson (lambda3 0.12). 1X2 France 45.7% /
   draw 27.0% / Senegal 27.3%. Winner France; score 1-1; fair AH France -0.25.
   Over 2.5 48.8%; BTTS 53.9%.

4. EVENTS. Referee Alireza Faghani (Australia): 3.6 Y + 0.1 R/match
   blended (weight 0.41) with WC base 3.5147 -> expected
   cards 3.59, P(over 3.5) 48.3%; P(any red)
   10.9%. Corners expected 9.0 (scale
   1.0259) -> P(over 8.5) 55.0%.

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