Predictions / Football / Ecuador. Liga Pro Serie B / San Antonio vs Cumbayá

Prediction Audit: San Antonio vs Cumbayá Prediction, Odds & AI Betting Tips

Jul 22, 2026 - 20:30
0 1.37
0 1.23
xG Accuracy: 49%

The model missed the final outcome (Draw 0–0).

The model had projected San Antonio at 38.5%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade F

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (0 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 San Antonio Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Draw higher than the statistical model.

Largest probability gap: Draw -5.5 pp

Outcome Model Closing Market Difference Signal
San Antonio 38.5% 36.2% +2.3 pp Aligned
Draw 29.6% 35.1% -5.5 pp Market Higher
Cumbayá 31.9% 28.7% +3.2 pp Aligned

The closing market estimates Draw's win probability at 35.1%, compared with the model's estimate of 29.6%, a difference of 5.5 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the result was Draw 0–0.

Market Assessment

The market and model broadly agree on Draw. The remaining divergence may reflect differences in team-strength assumptions rather than a directional disagreement.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned San Antonio; match finished Draw

Market lesson

The closing market differed from the model on San Antonio by 5.5 percentage points (44.0% vs model 38.5%) — in this case the market view proved closer.

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Jul 22, 2026 · 20:29 UTC Forecast generated
    • Model 1X2 · San Antonio 38.5% · Draw 29.6% · Cumbayá 31.9%
    • xG · San Antonio 1.37 — Cumbayá 1.23
  2. Jul 22, 2026 · 19:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · San Antonio 2.53 · Draw 2.61 · Cumbayá 3.19
    • Implied 1X2 · San Antonio 36.2% · Draw 35.1% · Cumbayá 28.7%
    • Bookmaker · Pinnacle
  3. Jul 22, 2026 · 20:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · San Antonio 2.53 · Draw 2.61 · Cumbayá 3.19
    • Implied 1X2 · San Antonio 36.2% · Draw 35.1% · Cumbayá 28.7%
    • Bookmaker · Pinnacle
  4. Jul 22, 2026 · 20:30 UTC Kickoff
  5. FT Full-time result Draw · 0–0
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 72/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 05, 2026 · 15:55 UTC Snapshot ID: dp-3058457

Closing Odds 2.61
AI Fair Odds —
CLV Pending
Final Result Draw · San Antonio 0–0 Cumbayá
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Ecuador Liga Pro Serie B
  • Fixture: San Antonio vs Cumbayá FC
  • Kickoff: 2026-07-22 20:30:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): San Antonio 1.37 — Cumbayá FC 1.23 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 30, 2026 (UTC)

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Liga Pro Serie B Liga Pro Serie B — Standings
# TEAM MP W D L PTS
1 Ind. Juniors 22 10 9 3 39
2 Atletico FC 22 9 11 2 38
3 9 de Octubre 22 9 10 3 37
4 Deportivo Cuenca Juniors 22 9 7 6 34
5 Cuniburo 22 8 7 7 31
6 San Antonio 22 7 10 5 31
7 Gualaceo SC 22 7 8 7 29
8 Santo Domingo 22 6 10 6 28
9 LDU Portoviejo 22 7 6 9 27
10 Cumbayá 22 5 11 6 26
11 22 de Julio 22 4 3 15 15
12 El Nacional 22 2 6 14 12
# TEAM MP GS GC +/- PTS
1 Ind. Juniors 22 28 16 +12 39
2 Atletico FC 22 25 14 +11 38
3 Cuniburo 22 25 17 +8 31
4 San Antonio 22 24 21 +3 31
5 9 de Octubre 22 22 14 +8 37
6 Cumbayá 22 22 22 0 26
7 Deportivo Cuenca Juniors 22 20 23 -3 34
8 Gualaceo SC 22 19 16 +3 29
9 Santo Domingo 22 17 16 +1 28
10 LDU Portoviejo 22 17 22 -5 27
11 El Nacional 22 15 32 -17 12
12 22 de Julio 22 10 31 -21 15