Mexico vs Ecuador
Group X · Tuesday, June 30, 2026, 01:00 UTC · Mexico City
The model's read
Mexico are clear favourites at 47%, against 27% for Ecuador and 25% for a draw. Goals project around 1.5–1.3 (both teams to score 56%, over 2.5 55%). The biggest single factor is Injuries & suspensions, favouring Ecuador. Confidence sits at 44/100 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
Mexico win
47.2%
Draw
25.4%
Ecuador win
27.4%
Expected goals
1.53 – 1.34
Scoreline cluster
1-0 / 0-1 / 1-1
top exact 1-0 · 10.8%
Confidence
44/100
Result lean
Mexico narrow edge
Score band
Open 1-1 / 2-1 type game
Goal environment
Open
If it opens up — high-scoring alternative
2-2 at 5.9% — 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
52/100
Data quality
82/100
Uncertainty band
28 – 60%
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. Mexico vs Ecuador.
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 01:01:22 UTC.
Final (blended) home
47.2%
Final draw
25.4%
Final away
27.4%
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
- market46 signals
- crowd1 signal
- externalnot used
- intel177 signals
- fundamental31 signals
Why this prediction
High-coverage prediction — most signal classes are present and aligned.
Technical
72/100
Fundamentals
82/100
Betting
94/100
Prediction market
77/100
Sentiment
0/100
Top positive drivers
- · market signal favours home (46.3 pp above uniform)
- · crowd signal favours home (34.8 pp above uniform)
- · technical signal favours home (10.6 pp above uniform)
Top risk drivers
- · Source conflict: learned vs market disagree (conflict score 53)
- · learned signal is against home (-9.5 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.
Mexico win
23.9%
Draw
46.6%
Ecuador win
29.6%
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.
Mexico
173 articles / 14d
Injury alerts
· Mexico (out — red card)
· Quansah (out — red card)
· Quansah (return — fit again)
Ecuador
4 articles / 14d
Injury alerts
· (unknown) (out — red card)
Goals markets
BTTS yes
55.6%
Over 1.5
75.9%
Over 2.5
54.6%
Over 3.5
32.2%
Under 2.5
45.4%
Market intelligence
Model probability
47.2%
Market probability
79.6%
Gap: -35.7 percentage points.
Market confidence: 21/100 across 46 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: Mexico 44% to win, 35% for Ecuador, 21% draw. Expected goals: Mexico 1.53 vs Ecuador 1.34. Scoreline cluster: 1-0 / 0-1 / 1-1. Top exact 1-0 only 10.8%. Goal environment open (BTTS 56%, Over 2.5 55%). Open 1-1 / 2-1 type game. Primary factor: injuries & suspensions difference is the dominant driver. Confidence: 44/100. 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
Notable gap: the market is markedly more bullish than the model. This often reflects public bias, late news, or sharp money the model has not yet incorporated.
These predictions are probabilistic and not guarantees. Not betting advice.