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

πŸ‡ΏπŸ‡¦ South Africa vs South Korea πŸ‡°πŸ‡·  WINNER MISS

FIFA World Cup 2026, Group A, Matchday 3 Β· Neutral site (Estadio BBVA, Monterrey)
Kickoff Jun 25, 2026 Β· 01:00 UTC
Final Β· South Africa 1–0 South Korea
Goals: 63' Thapelo Maseko (South Africa)
Actual stats: xG 1.16 – 0.9 Β· 10 corners Β· 2 cards (0 red)

Prediction vs result  5/8 markets hit

MarketModel calledActualOutcome
1X2South KoreaSouth Africa (1-0)MISS
Score0-11-0MISS
O/U 2.5Under 2.5 (61.8%)1 goalsHIT
BTTSNo (57.3%)NoHIT
CornersUnder 8.5 (69.1%)10 cornersMISS
CardsUnder 3.5 (61.3%)2 cardsHIT
Red cardNo (87.8%)NoHIT
AHSouth Africa +0.50Full WinHIT

Model vs market

MarketModelBook oddsBook p*EV
South Africa win18.3%5.7516.6%+5.2%
Draw28.5%4.0023.8%+14.1%
South Korea win53.2%1.6059.6%-14.9%
Over 2.5 goals38.2%2.0047.4%-23.5%
Under 2.5 goals61.8%1.8052.6%+11.2%
Both teams score: yes42.7%2.0046.7%-14.6%
Both teams score: no57.3%1.7553.3%+0.3%
Over 8.5 corners (exp 7.29)30.9%1.8350.0%-43.3%
Under 8.5 corners69.1%1.8350.0%+26.7%
Over 3.5 cards (exp 3.15)38.7%2.1044.2%-18.7%
Under 3.5 cards61.3%1.6755.8%+2.2%
Any red card12.2%β€”β€”β€”
Model-only estimates (no straight market equivalent): expected goals South Africa 0.77 – 1.45 South Korea Β· fair Asian handicap South Africa +0.50
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€” South Africa vs South Korea  (FIFA World Cup 2026, Group A, Matchday 3)
Venue: Neutral site (Estadio BBVA, Monterrey)

1. DATA. Last-10 internationals (Sofascore interception scraper).
   South Africa: record WLWLDLDDLD, 1.00 GF / 1.30 GA,
   xG 1.06 / xGA 0.96.
   South Korea: record LWWWLLWWWL, 1.30 GF / 1.20 GA,
   xG 1.56 / xGA 0.89.
   Opponent-strength tiers (configs.MASTER_TIERS) applied per match.

2. RATINGS. South Africa atk 0.70 def 1.18; South Korea atk 0.96 def 0.79.
   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 South Africa 0.77, South Korea 1.45
   after 90% model weight + shrink to 1.3 baseline.
   Injuries: {'South Africa': ['No major absences reported'], 'South Korea': ['No major absences reported']}.
   Context: Group A MD3. South Korea favoured on tier vs South Africa. Both likely fighting for a knockout spot. Neutral venue.

3. MODEL. Bivariate Poisson (lambda3 0.12). 1X2 South Africa 18.3% /
   draw 28.5% / South Korea 53.2%. Winner South Korea; score 0-1; fair AH South Africa +0.50.
   Over 2.5 38.2%; BTTS 42.7%.

4. EVENTS. Referee TBD: 4.2 Y + 0.13 R/match
   blended (weight 0.24) with WC base 2.7763 -> expected
   cards 3.15, P(over 3.5) 38.7%; P(any red)
   12.2%. Corners expected 7.3 (scale
   0.9451) -> P(over 8.5) 30.9%.

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