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

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

Oct 02, 2026 - 20:30
0 1.18
0 1.42
xG Accuracy: 49%

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

The model had projected Cuniburo at 40.9%, 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 Over 2.5 Under 2.5 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Cuniburo Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 0-0 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Cuniburo higher than the statistical model.

Largest probability gap: Cuniburo -17.5 pp

Outcome Model Closing Market Difference Signal
San Antonio 29.7% 16.5% +13.2 pp Model Edge
Draw 29.4% 25.1% +4.3 pp Aligned
Cuniburo 40.9% 58.4% -17.5 pp Market Higher

The closing market estimates Cuniburo's win probability at 58.4%, compared with the model's estimate of 40.9%, a difference of 17.5 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 is materially more optimistic about Cuniburo than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (0 goals)

Market lesson

The closing market differed from the model on Cuniburo by 17.5 percentage points (58.4% vs model 40.9%) — 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. Oct 02, 2026 · 20:29 UTC Forecast generated
    • Model 1X2 · San Antonio 29.6% · Draw 29.4% · Cuniburo 41.0%
    • xG · San Antonio 1.18 — Cuniburo 1.42
  2. Oct 02, 2026 · 19:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · San Antonio 5.55 · Draw 3.65 · Cuniburo 1.57
    • Implied 1X2 · San Antonio 16.5% · Draw 25.1% · Cuniburo 58.4%
    • Bookmaker · Pinnacle
  3. Oct 02, 2026 · 20:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · San Antonio 5.55 · Draw 3.65 · Cuniburo 1.57
    • Implied 1X2 · San Antonio 16.5% · Draw 25.1% · Cuniburo 58.4%
    • Bookmaker · Pinnacle
  4. Oct 02, 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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 54/100 · Moderate
  • Validation: Warning
  • Large market gap (17 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 12/100
Betting Confidence 43/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 26, 2026 · 03:02 UTC Snapshot ID: dp-10984186

Closing Odds 1.57
AI Fair Odds —
CLV Pending
Final Result Draw · San Antonio 0–0 Cuniburo
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

Quick read on how the model reads this matchup.

  • League: Liga Pro Serie B
  • Fixture: San Antonio vs Cuniburo
  • Kickoff: 2026-10-02 20:30:00
  • 1X2 (model): Home 29.6% · Draw 29.4% · Away 41.0%
  • xG (showing): San Antonio 1.18 — Cuniburo 1.42 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 54.1% · No 45.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Monitor

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

October 03, 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