Czech Republic vs South Africa
Group A · Thursday, June 18, 2026, 16:00 UTC · Atlanta
The model's read
Czech Republic are clear favourites at 42%, against 24% for South Africa and 34% for a draw. Goals project around 1.7–1.3 (both teams to score 57%, over 2.5 57%). The biggest single factor is Overall strength, favouring Czech Republic. Confidence sits at 45/100 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
Czech Republic win
42.0%
Draw
34.3%
South Africa win
23.6%
Expected goals
1.67 – 1.31
Scoreline cluster
1-0 / 2-1 / 1-1
top exact 1-0 · 10.5%
Confidence
45/100
Result lean
Draw-leaning
Score band
Open 1-1 / 2-1 type game
Goal environment
Open
If it opens up — high-scoring alternative
2-2 at 6.1% — most likely scoreline with 3+ goals total.
BTTS 57% and Over 2.5 57% both elevated; top three scorelines within 2 pp
Risk & uncertainty
Upset risk
51/100
Data quality
79/100
Uncertainty band
32 – 64%
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. Czech Republic vs South Africa.
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 01:00:55 UTC.
Final (blended) home
42.0%
Final draw
34.3%
Final away
23.6%
Source weights applied
- technical47.1%
- learned16.1%
- market19.3%
- crowd7.5%
- external0.0%
- intel0.0%
- fundamental7.0%
- sentimentMomentum3.0%
Source presence
- technical1 signal
- learned1 signal
- market36 signals
- crowd1 signal
- externalnot used
- intelnot used
- fundamental9 signals
Why this prediction
Source conflict detected — model confidence has been reduced.
Technical
73/100
Fundamentals
50/100
Betting
72/100
Prediction market
94/100
Sentiment
0/100
Top positive drivers
- · technical signal favours home (14.7 pp above uniform)
- · market signal favours home (14.1 pp above uniform)
- · learned signal favours home (2.9 pp above uniform)
Top risk drivers
- · Source conflict: technical vs crowd disagree (conflict score 100)
- · crowd signal is against home (-33.3 pp below uniform)
Missing: external prediction sites · NLP intel (news-derived signals)
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.
Czech Republic win
36.2%
Draw
46.0%
South Africa win
17.8%
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
Goals markets
BTTS yes
57.3%
Over 1.5
77.8%
Over 2.5
57.3%
Over 3.5
34.9%
Under 2.5
42.7%
Market intelligence
Model probability
42.0%
Market probability
47.4%
Gap: +0.5 percentage points.
Market confidence: 99/100 across 36 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: Czech Republic 48% to win, 32% for South Africa, 20% draw. Expected goals: Czech Republic 1.67 vs South Africa 1.31. Scoreline cluster: 1-0 / 2-1 / 1-1. Top exact 1-0 only 10.5%. Goal environment open (BTTS 57%, Over 2.5 57%). Open 1-1 / 2-1 type game. Primary factor: overall strength difference is the dominant driver. Confidence: 45/100. 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 cautious than the market.
These predictions are probabilistic and not guarantees. Not betting advice.