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

πŸ‡§πŸ‡· Brazil vs Haiti πŸ‡­πŸ‡Ή  WINNER HIT

FIFA World Cup 2026, Group C, Matchday 3 Β· Neutral site (USA)
Kickoff Jun 20, 2026 Β· 00:30 UTC
Final Β· Brazil 3–0 Haiti
Goals: 23' Matheus Cunha (Brazil); 36' Matheus Cunha (Brazil); 45' VinΓ­cius JΓΊnior (Brazil)
Actual stats: xG 1.75 – 0.23 Β· 8 corners Β· 4 cards (0 red)

Prediction vs result  5/8 markets hit

MarketModel calledActualOutcome
1X2BrazilBrazil (3-0)HIT
Score1-03-0MISS
O/U 2.5Over 2.5 (56.4%)3 goalsHIT
BTTSYes (52.1%)NoMISS
CornersUnder 8.5 (59.1%)8 cornersHIT
CardsUnder 3.5 (57.5%)4 cardsMISS
Red cardNo (88.2%)NoHIT
AHBrazil -1.25Full WinHIT

Model vs market

MarketModelBook oddsBook p*EV
Brazil win66.0%1.1086.8%-27.4%
Draw20.5%11.008.7%+125.7%
Haiti win13.5%21.004.5%+183.7%
Over 2.5 goals56.4%1.3371.8%-24.8%
Under 2.5 goals43.6%3.4028.2%+48.2%
Both teams score: yes52.1%2.2541.1%+17.2%
Both teams score: no47.9%1.5758.9%-24.7%
Over 8.5 corners (exp 8.01)40.9%β€”β€”β€”
Under 8.5 corners59.1%β€”β€”β€”
Over 3.5 cards (exp 3.33)42.5%β€”β€”β€”
Under 3.5 cards57.5%β€”β€”β€”
Any red card11.8%β€”β€”β€”
Model-only estimates (no straight market equivalent): expected goals Brazil 2.10 – 0.88 Haiti Β· fair Asian handicap Brazil -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€” Brazil vs Haiti  (FIFA World Cup 2026, Group C, Matchday 3)
Venue: Neutral site (USA)

1. DATA. Last-10 internationals (Sofascore interception scraper).
   Brazil: record LWLWDLWWWD, 2.30 GF / 1.20 GA,
   xG 1.86 / xGA 0.8.
   Haiti: record DWLWWLDWLL, 1.50 GF / 1.10 GA,
   xG 1.56 / xGA 1.05.
   Opponent-strength tiers (configs.MASTER_TIERS) applied per match.

2. RATINGS. Brazil atk 1.41 def 0.78; Haiti atk 0.79 def 1.17.
   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 Brazil 2.10, Haiti 0.88
   after 85% model weight + shrink to 1.3 baseline.
   Injuries: {'Brazil': ['No major absences reported'], 'Haiti': ['Thin xG data sample']}.
   Context: Group C MD3. Brazil heavy favourites; Haiti debutants. Neutral venue. MD3 rotation risk if group is decided.

3. MODEL. Bivariate Poisson (lambda3 0.12). 1X2 Brazil 66.0% /
   draw 20.5% / Haiti 13.5%. Winner Brazil; score 1-0; fair AH Brazil -1.25.
   Over 2.5 56.4%; BTTS 52.1%.

4. EVENTS. Referee Espen Eskas (Norway): 3.8 Y + 0.12 R/match
   blended (weight 0.31) with WC base 3.0543 -> expected
   cards 3.33, P(over 3.5) 42.5%; P(any red)
   11.8%. Corners expected 8.0 (scale
   0.9834) -> P(over 8.5) 40.9%.

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