Prediction Audit: Firpo vs Águila Prediction, Odds & AI Betting Tips

Sep 27, 2026 - 00:00
2 1.35
0 1.25
xG Accuracy: 59%

AI correctly predicted the Firpo win.

The match finished 2–0, validating the model's directional assessment.

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 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Firpo Firpo ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The model rates Águila considerably stronger than the closing betting market.

Largest probability gap: Águila +5.4 pp

Outcome Model Closing Market Difference Signal
Firpo 37.5% 42.6% -5.1 pp Market Higher
Draw 29.6% 29.9% -0.3 pp Aligned
Águila 32.9% 27.4% +5.4 pp Model Higher

The statistical model estimates Águila's win probability at 32.9%, compared with the closing market's implied probability of 27.4%, a difference of 5.4 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 model's directional lean matched the result (Firpo win 2–0).

Market Assessment

The fair estimate shows a modest edge over current market pricing on Águila.

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

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 (2 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Firpo more conservatively (32.1% vs model 37.5%, 5.4 pp), but the model's lean was validated (Firpo win 2–0).

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Prediction Timeline

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

  1. Sep 26, 2026 · 23:59 UTC Forecast generated
    • Model 1X2 · Firpo 37.6% · Draw 29.6% · Águila 32.9%
    • xG · Firpo 1.35 — Águila 1.25
  2. Sep 26, 2026 · 23:30 UTC Opening odds snapshot PRE30
    • 1X2 odds · Firpo 2.13 · Draw 3.10 · Águila 3.34
    • Implied 1X2 · Firpo 43.0% · Draw 29.6% · Águila 27.4%
    • Bookmaker · Pinnacle
  3. Sep 26, 2026 · 23:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Firpo 2.15 · Draw 3.06 · Águila 3.34
    • Implied 1X2 · Firpo 42.6% · Draw 29.9% · Águila 27.4%
    • Bookmaker · Pinnacle
  4. Sep 27, 2026 · 00:00 UTC Kickoff
  5. FT Full-time result Firpo win · 2–0
  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 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: Sep 22, 2026 · 01:56 UTC Snapshot ID: dp-10249572

Closing Odds 3.34
AI Fair Odds —
CLV Pending
Final Result Firpo win · Firpo 2–0 Águila
Prediction ✔ Correct
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

Pre-match snapshot for this fixture.

  • League: Primera Division
  • Fixture: Firpo vs Águila
  • Kickoff: 2026-09-27 00:00:00
  • 1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
  • xG (showing): Firpo 1.35 — Águila 1.25 (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 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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: 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 29, 2026 (UTC)

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Primera Division Primera Division — Standings
# TEAM MP W D L PTS
1 FAS 10 6 2 2 20
2 Inter 11 5 5 1 20
3 Isidro Metapán 11 6 2 3 20
4 Firpo 10 5 3 2 18
5 Municipal Limeño 11 5 2 4 17
6 Águila 11 3 5 3 14
7 Alianza 9 3 4 2 13
8 Atletico Balboa 11 3 3 5 12
9 Platense 11 3 3 5 12
10 Inca Aruba 11 3 2 6 11
11 Cacahuatique 11 1 5 5 8
12 Fuerte San Francisco 11 1 4 6 7
# TEAM MP GS GC +/- PTS
1 FAS 10 18 9 +9 20
2 Firpo 10 16 7 +9 18
3 Inter 11 16 8 +8 20
4 Municipal Limeño 11 16 12 +4 17
5 Águila 11 16 14 +2 14
6 Isidro Metapán 11 15 10 +5 20
7 Alianza 9 14 13 +1 13
8 Atletico Balboa 11 12 16 -4 12
9 Platense 11 12 16 -4 12
10 Cacahuatique 11 11 18 -7 8
11 Fuerte San Francisco 11 8 19 -11 7
12 Inca Aruba 11 8 20 -12 11