South Africa vs Canada
Group X · Sunday, June 28, 2026, 19:00 UTC · Los Angeles (Inglewood)
The model's read
Canada hold a narrow edge at 45%, with South Africa at 29% and 26% for the draw. Goals project around 1.4–1.5 (both teams to score 56%, over 2.5 55%). The biggest single factor is Overall strength, favouring Canada. Confidence sits at 42/100 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
29.0%
Draw
26.4%
Canada win
44.6%
Expected goals
1.40 – 1.48
Scoreline cluster
0-1 / 1-0 / 1-1
top exact 0-1 · 10.4%
Confidence
42/100
Result lean
Canada narrow edge
Score band
Open 1-1 / 2-1 type game
Goal environment
Open
If it opens up — high-scoring alternative
2-2 at 6.0% — most likely scoreline with 3+ goals total.
BTTS 56% and Over 2.5 55% both elevated; top three scorelines within 2 pp
Risk & uncertainty
Upset risk
60/100
Data quality
81/100
Uncertainty band
25 – 58%
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 Canada.
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 01:01:20 UTC.
Final (blended) home
29.0%
Final draw
26.4%
Final away
44.6%
Source weights applied
- technical57.8%
- learned16.1%
- market0.0%
- crowd7.5%
- external0.0%
- intel8.6%
- fundamental7.0%
- sentimentMomentum3.0%
Source presence
- technical1 signal
- learned1 signal
- marketnot used
- crowd1 signal
- externalnot used
- intel107 signals
- fundamental17 signals
Why this prediction
Partial coverage — some signal classes are missing.
Technical
72/100
Fundamentals
82/100
Betting
0/100
Prediction market
77/100
Sentiment
0/100
Top positive drivers
- · crowd signal favours away (34.8 pp above uniform)
- · learned signal favours away (20.3 pp above uniform)
- · technical signal favours away (8.1 pp above uniform)
Top risk drivers
- No standout risks.
Missing: bookmaker market · 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
7.5%
Draw
38.9%
Canada win
53.7%
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
Canada
106 articles / 14d
Injury alerts
· Balogun (out — red card)
· World Cup (out — red card)
Goals markets
BTTS yes
56.2%
Over 1.5
76.2%
Over 2.5
55.1%
Over 3.5
32.7%
Under 2.5
44.9%
Market intelligence
Market calibration unavailable.
No live odds have been ingested for this match yet.
Bookmaker prices typically populate closer to kickoff — when they do, this panel will show implied-probability consensus, the gap to our model and how the line is moving.
Explanation
Why the model sees the match this way.
Model prediction: Canada 41% to win, 38% for South Africa, 21% draw. Expected goals: Canada 1.48 vs South Africa 1.40. Scoreline cluster: 0-1 / 1-0 / 1-1. Top exact 0-1 only 10.4%. Goal environment open (BTTS 56%, Over 2.5 55%). Open 1-1 / 2-1 type game. Primary factor: overall strength difference is the dominant driver. Confidence: 42/100. 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.
These predictions are probabilistic and not guarantees. Not betting advice.