Canada vs Morocco
Group X · Saturday, July 4, 2026, 17:00 UTC · Houston
The model's read
Morocco are clear favourites at 53%, against 22% for Canada and 25% for a draw. Goals project around 1.3–1.7 (both teams to score 57%, over 2.5 57%). The biggest single factor is Overall strength, favouring Morocco. 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
22.3%
Draw
24.6%
Morocco win
53.1%
Expected goals
1.26 – 1.74
Scoreline cluster
0-1 / 1-2 / 1-1
top exact 0-1 · 10.7%
Confidence
49/100
Result lean
Morocco 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 57% and Over 2.5 57% both elevated; top three scorelines within 2 pp
Risk & uncertainty
Upset risk
43/100
Data quality
83/100
Uncertainty band
36 – 65%
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 Morocco.
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 03:02:48 UTC.
Final (blended) home
22.3%
Final draw
24.6%
Final away
53.1%
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
- intel152 signals
- fundamental33 signals
Why this prediction
Partial coverage — some signal classes are missing.
Technical
74/100
Fundamentals
83/100
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 (25.0 pp above uniform)
- · technical signal favours away (17.3 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.
Canada win
6.7%
Draw
35.0%
Morocco win
58.3%
Total goals (λ)
2.50
Model confidence
37/100
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)
Morocco
46 articles / 14d
Goals markets
BTTS yes
56.9%
Over 1.5
78.0%
Over 2.5
57.5%
Over 3.5
35.1%
Under 2.5
42.5%
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: Morocco 51% to win, 29% for Canada, 20% draw. Expected goals: Morocco 1.74 vs Canada 1.26. Scoreline cluster: 0-1 / 1-2 / 1-1. Top exact 0-1 only 10.7%. 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: 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.
These predictions are probabilistic and not guarantees. Not betting advice.