Canada vs Qatar
Group B · Thursday, June 18, 2026, 22:00 UTC · Vancouver
The model's read
The model makes Canada strong favourites at 61%, leaving 16% for Qatar and 23% for the draw. Goals project around 1.9–1.2 in an open game (both teams to score 56%, over 2.5 58%). The biggest single factor is Overall strength, favouring Canada. Confidence sits at 49/100 with moderate upset risk; the underdog has paths to a result.
Auto-updated every hour as ratings, odds and news change.
Match outcome
oracle-v1.0.0
Canada win
61.0%
Draw
22.6%
Qatar win
16.4%
Expected goals
1.85 – 1.18
Scoreline cluster
1-0 / 2-1 / 1-1
top exact 1-0 · 10.8%
Confidence
49/100
Result lean
Canada clear edge
Score band
Likely one-goal game
Goal environment
Open
If it opens up — high-scoring alternative
3-1 at 6.0% — most likely scoreline with 3+ goals total.
BTTS 56% and Over 2.5 58% both elevated
Risk & uncertainty
Upset risk
41/100
Data quality
79/100
Uncertainty band
40 – 70%
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. Canada vs Qatar.
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 02:02:20 UTC.
Final (blended) home
61.0%
Final draw
22.6%
Final away
16.4%
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
- market38 signals
- crowd1 signal
- externalnot used
- intel107 signals
- fundamental17 signals
Why this prediction
Source conflict detected — model confidence has been reduced.
Technical
75/100
Fundamentals
83/100
Betting
86/100
Prediction market
94/100
Sentiment
0/100
Top positive drivers
- · crowd signal favours home (66.6 pp above uniform)
- · market signal favours home (38.0 pp above uniform)
- · learned signal favours home (29.6 pp above uniform)
- · technical signal favours home (21.7 pp above uniform)
Top risk drivers
- · Source conflict: technical vs crowd disagree (conflict score 100)
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.
Canada win
62.9%
Draw
31.9%
Qatar win
5.1%
Total goals (λ)
2.50
Model confidence
44/100
Logistic regression model — version wdl-v1, trained on 19k historical internationals.
Article intelligence
Recent news, injury alerts and sentiment extracted by the NLP layer.
Canada
106 articles / 14d
Injury alerts
· Balogun (out — red card)
· World Cup (out — red card)
Qatar
1 article / 14d
Goals markets
BTTS yes
56.5%
Over 1.5
78.7%
Over 2.5
58.4%
Over 3.5
36.0%
Under 2.5
41.6%
Market intelligence
Model probability
61.0%
Market probability
71.4%
Gap: -16.3 percentage points.
Market confidence: 96/100 across 38 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: Canada 55% to win, 26% for Qatar, 19% draw. Expected goals: Canada 1.85 vs Qatar 1.18. Scoreline cluster: 1-0 / 2-1 / 1-1. Top exact 1-0 only 10.8%. Goal environment open (BTTS 56%, Over 2.5 58%). Likely one-goal game. Primary factor: overall strength difference is the dominant driver. Confidence: 49/100. 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
Moderate upset risk — the underdog has identifiable paths to a result.
Market divergence
Model is slightly more cautious than the market.
These predictions are probabilistic and not guarantees. Not betting advice.