Predictions / Football / Costa-Rica. Liga de Ascenso / AD Carmelita vs Santa Ana

Prediction Audit: AD Carmelita vs Santa Ana Prediction, Odds & AI Betting Tips

AD Carmelita AD Carmelita
Sep 26, 2026 - 02:00
1 1.32
0 1.28
xG Accuracy: 64%
Santa Ana Santa Ana

AI correctly predicted the AD Carmelita win.

The match finished 1–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade A

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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 AD Carmelita AD Carmelita ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: AD Carmelita -0.9 pp

Outcome Model Closing Market Difference Signal
AD Carmelita 36.1% 37.0% -0.9 pp Aligned
Draw 29.6% 29.0% +0.6 pp Aligned
Santa Ana 34.2% 33.9% +0.3 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 model's directional lean matched the result (AD Carmelita win 1–0).

Market Assessment

The market and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

Post Match Insights

What worked

  • Both Teams To Score (No) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 fell within the model's highlighted bins

Market lesson

The model's directional lean matched the full-time result (AD Carmelita win 1–0).

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Prediction Timeline

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

  1. Sep 26, 2026 · 01:59 UTC Forecast generated
    • Model 1X2 · AD Carmelita 36.1% · Draw 29.7% · Santa Ana 34.2%
    • xG · AD Carmelita 1.32 — Santa Ana 1.28
  2. Sep 26, 2026 · 01:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · AD Carmelita 2.40 · Draw 3.06 · Santa Ana 2.62
    • Implied 1X2 · AD Carmelita 37.0% · Draw 29.0% · Santa Ana 33.9%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 01:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · AD Carmelita 2.40 · Draw 3.06 · Santa Ana 2.62
    • Implied 1X2 · AD Carmelita 37.0% · Draw 29.0% · Santa Ana 33.9%
    • Bookmaker · Pinnacle
  4. Sep 26, 2026 · 02:00 UTC Kickoff
  5. FT Full-time result AD Carmelita win · 1–0
  6. FT Prediction validated Directional lean matched 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 Validated
Pre-match metrics (historical context)
Prediction Reliability 79/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 95/100
Betting Confidence 82/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 02:24 UTC Snapshot ID: dp-10111500

Closing Odds 2.4
AI Fair Odds —
CLV Pending
Final Result AD Carmelita win · AD Carmelita 1–0 Santa Ana
Prediction ✔ Correct
Decision Grade A

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 Carmelita vs Santa Ana
  • Kickoff: 2026-09-26 02:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): AD Carmelita 1.32 — Santa Ana 1.28 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.0%, still below the +2.0% minimum for a headline / default stake (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against 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 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 AD Carmelita 9 3 3 3 12
7 Cariari Pococi 7 3 3 1 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 8 2 1 5 7
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 Guadalupe FC 9 10 17 -7 6
10 Cariari Pococi 7 9 7 +2 12
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 8 6 15 -9 7
Liga de Ascenso Costa-Rica. Liga de Ascenso Predictions