Predictions / Football / Costa-Rica. Liga de Ascenso / AD Cofutpa vs Santa Cruz FC

Prediction Audit: AD Cofutpa vs Santa Cruz FC Prediction, Odds & AI Betting Tips

Sep 27, 2026 - 21:00
3 1.25
1 1.35
xG Accuracy: 56%

The model missed the final outcome (AD Cofutpa win 3–1).

The model had projected Santa Cruz FC at 37.5%, 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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Santa Cruz FC AD Cofutpa ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-1 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices AD Cofutpa higher than the statistical model.

Largest probability gap: AD Cofutpa -6.8 pp

Outcome Model Closing Market Difference Signal
AD Cofutpa 32.9% 39.7% -6.8 pp Market Higher
Draw 29.6% 28.0% +1.6 pp Aligned
Santa Cruz FC 37.5% 32.3% +5.2 pp Model Higher

The closing market estimates AD Cofutpa's win probability at 39.7%, compared with the model's estimate of 32.9%, a difference of 6.8 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 AD Cofutpa win 3–1.

Market Assessment

The market and model broadly agree on AD Cofutpa. 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

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)

Market lesson

The closing market differed from the model on Santa Cruz FC by 6.8 percentage points (44.4% vs model 37.5%) — 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. Sep 27, 2026 · 20:59 UTC Forecast generated
    • Model 1X2 · AD Cofutpa 32.9% · Draw 29.6% · Santa Cruz FC 37.6%
    • xG · AD Cofutpa 1.25 — Santa Cruz FC 1.35
  2. Sep 27, 2026 · 20:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · AD Cofutpa 2.24 · Draw 3.18 · Santa Cruz FC 2.75
    • Implied 1X2 · AD Cofutpa 39.7% · Draw 28.0% · Santa Cruz FC 32.3%
    • Bookmaker · Pinnacle
  3. Sep 27, 2026 · 20:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · AD Cofutpa 2.24 · Draw 3.18 · Santa Cruz FC 2.75
    • Implied 1X2 · AD Cofutpa 39.7% · Draw 28.0% · Santa Cruz FC 32.3%
    • Bookmaker · Pinnacle
  4. Sep 27, 2026 · 21:00 UTC Kickoff
  5. FT Full-time result AD Cofutpa win · 3–1
  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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Pricing proximity (inverse gap) 22/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:24 UTC Snapshot ID: dp-10111300

Closing Odds 2.24
AI Fair Odds —
CLV Pending
Final Result AD Cofutpa win · AD Cofutpa 3–1 Santa Cruz FC
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: Liga de Ascenso
  • Fixture: AD Cofutpa vs Santa Cruz FC
  • Kickoff: 2026-09-27 21:00:00
  • 1X2 (model): Home 32.9% · Draw 29.6% · Away 37.6%
  • xG (showing): AD Cofutpa 1.25 — Santa Cruz FC 1.35 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 46.9% · Probability edge: +4.9 pts · Est. EV: +8.8%
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

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 01, 2026 (UTC)

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Liga de Ascenso Liga de Ascenso — Standings
# TEAM MP W D L PTS
1 Aserri FC 16 7 3 6 24
2 ADR Jicaral 8 5 3 0 18
3 Pitbulls Santa Barbara FC 9 5 3 1 18
4 Quepos Cambute 8 5 1 2 16
5 Santa Ana 8 5 0 3 15
6 Cariari Pococi 8 3 4 1 13
7 AD Carmelita 9 3 3 3 12
8 Municipal Grecia 7 3 2 2 11
9 AD Sarchí 8 3 2 3 11
10 Futbol Consultants Moravia 9 3 1 5 10
11 CS Uruguay 9 2 2 5 8
12 Santa Cruz FC 8 2 0 6 6
13 Guadalupe FC 9 1 3 5 6
14 AD Cofutpa 8 1 1 6 4
# TEAM MP GS GC +/- PTS
1 Aserri FC 16 18 18 0 24
2 Pitbulls Santa Barbara FC 9 16 11 +5 18
3 AD Carmelita 9 16 11 +5 12
4 Quepos Cambute 8 13 6 +7 16
5 ADR Jicaral 8 12 4 +8 18
6 Futbol Consultants Moravia 9 12 10 +2 10
7 Santa Ana 8 11 9 +2 15
8 Santa Cruz FC 8 11 18 -7 6
9 Cariari Pococi 8 10 8 +2 13
10 Guadalupe FC 9 10 17 -7 6
11 Municipal Grecia 7 8 6 +2 11
12 AD Sarchí 8 8 11 -3 11
13 AD Cofutpa 8 7 14 -7 4
14 CS Uruguay 9 7 16 -9 8