South Africa vs South Korea
Group A · Wednesday, June 24, 2026, 01:00 UTC · Monterrey (Guadalupe)
The model's read
South Korea hold a narrow edge at 43%, with South Africa at 32% and 25% for the draw. Goals project around 1.3–1.5 (both teams to score 54%, over 2.5 53%). The biggest single factor is Overall strength, favouring South Korea. Confidence sits at 46/100 but upset risk is high — variance and form keep the underdog live.
Auto-updated every hour as ratings, odds and news change.
Match outcome
oracle-v1.0.0
South Africa win
31.8%
Draw
25.4%
South Korea win
42.8%
Expected goals
1.27 – 1.53
Scoreline cluster
0-1 / 1-0 / 1-1
top exact 0-1 · 11.4%
Confidence
46/100
Result lean
South Africa live
Score band
Open 1-1 / 2-1 type game
Goal environment
Open
If it opens up — high-scoring alternative
2-2 at 5.7% — most likely scoreline with 3+ goals total.
both teams likely to score; top three scorelines within 2 pp
Risk & uncertainty
Upset risk
49/100
Data quality
81/100
Uncertainty band
30 – 61%
Most likely scorelines
Top 12 from a Dixon-Coles adjusted Poisson matrix.
Top 12 most likely scorelines. Heat is relative to the most likely outcome. South Africa vs South Korea.
Team comparison
Rating profile across the key dimensions.
Ensemble breakdown
Final probabilities blend the technical model with every available source layer. Persisted 2026-07-11 02:02:19 UTC.
Final (blended) home
31.8%
Final draw
25.4%
Final away
42.8%
Source weights applied
- technical38.5%
- learned16.1%
- market19.3%
- crowd7.5%
- external0.0%
- intel8.6%
- fundamental7.0%
- sentimentMomentum3.0%
Source presence
- technical1 signal
- learned1 signal
- market31 signals
- crowd1 signal
- externalnot used
- intel4 signals
- fundamental10 signals
Why this prediction
Source conflict detected — model confidence has been reduced.
Technical
72/100
Fundamentals
82/100
Betting
72/100
Prediction market
94/100
Sentiment
0/100
Top positive drivers
- · learned signal favours away (20.0 pp above uniform)
- · market signal favours away (13.6 pp above uniform)
- · technical signal favours away (12.1 pp above uniform)
Top risk drivers
- · Source conflict: learned vs crowd disagree (conflict score 100)
- · crowd signal is against away (-33.3 pp below uniform)
Missing: external prediction sites
Learned model
The learned model contributes to the public ensemble blend, alongside ratings, market signals and news intelligence. Performance is validated against an Elo baseline.
South Africa win
9.3%
Draw
37.4%
South Korea win
53.4%
Total goals (λ)
2.50
Model confidence
30/100
Logistic regression model — version wdl-v1, trained on 19k historical internationals.
Article intelligence
Recent news, injury alerts and sentiment extracted by the NLP layer.
South Africa
1 article / 14d
South Korea
3 articles / 14d
Goals markets
BTTS yes
54.3%
Over 1.5
74.8%
Over 2.5
53.1%
Over 3.5
30.9%
Under 2.5
46.9%
Market intelligence
Model probability
31.8%
Market probability
24.9%
Gap: +8.8 percentage points.
Market confidence: 95/100 across 31 bookmakers.
Odds shown for analysis only — CupCastLab does not place bets, list bookmakers, or recommend wagers.
Explanation
Why the model sees the match this way.
Model prediction: South Korea 45% to win, 34% for South Africa, 21% draw. Expected goals: South Korea 1.53 vs South Africa 1.27. Scoreline cluster: 0-1 / 1-0 / 1-1. Top exact 0-1 only 11.4%. Goal environment open (BTTS 54%, Over 2.5 53%). Open 1-1 / 2-1 type game. Primary factor: overall strength difference is the dominant driver. Confidence: 46/100. This is a low-confidence call — uncertainty is wide.
Factor contributions
Risk factors
- No notable risk factors identified.
Uncertainty factors
- No major uncertainty flags.
Tactical read
No standout tactical mismatch — the stylistic edge is modest.
Upset risk
High upset risk — variance, tactical fit, or recent form suggests the underdog is live.
Market divergence
Model is slightly more bullish than the market.
These predictions are probabilistic and not guarantees. Not betting advice.