Prediction Audit: Grama vs Vilassar Mar Prediction, Odds & AI Betting Tips

Sep 27, 2026 - 09:45
3 1.42
0 1.18
xG Accuracy: 47%

AI correctly predicted the Grama win.

The match finished 3–0, 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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Grama Grama ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 3-0 ✖ Incorrect

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

The model's directional lean matched the full-time result (Grama win 3–0).

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Prediction Timeline

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

  1. Sep 21, 2026 · 00:56 UTC Forecast generated
    • xG · Grama 1.42 — Vilassar Mar 1.18
  2. Sep 27, 2026 · 09:45 UTC Kickoff
  3. FT Full-time result Grama win · 3–0
  4. FT Prediction validated Directional lean matched full-time result
  5. 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 57/100 · Moderate
  • Validation: Pending
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation pending
Market Compatibility 100/100
Betting Confidence 59/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 00:56 UTC Snapshot ID: dp-10081722

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Grama win · Grama 3–0 Vilassar Mar
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: Tercera División RFEF - Group 5
  • Fixture: Grama vs Vilassar Mar
  • Kickoff: 2026-09-27 09:45:00
  • 1X2 (model): Home 41.0% · Draw 29.4% · Away 29.6%
  • xG (showing): Grama 1.42 — Vilassar Mar 1.18 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • 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 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.1% · No 45.9%
  • Correct score (top bin): 1-1 (12.4%)

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.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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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Tercera División RFEF - Group 5 Tercera División RFEF - Group 5 — Standings
# TEAM MP W D L PTS
1 Montañesa 3 3 0 0 9
2 Pobla Mafumet 3 2 0 1 6
3 San Juan Atletico de Montcada 4 2 0 2 6
4 Cornellà 3 1 2 0 5
5 L'Hospitalet 3 1 2 0 5
6 Martinenc 3 1 2 0 5
7 Vilanova 3 1 2 0 5
8 San Cristóbal 3 1 1 1 4
9 Grama 3 1 1 1 4
10 Atlètic Lleida 3 1 1 1 4
11 Cerdanyola del Vallès 3 1 1 1 4
12 Badalona 3 1 0 2 3
13 L'Escala 3 1 0 2 3
14 Mollerussa 3 1 0 2 3
15 Vilassar Mar 3 1 0 2 3
16 Tona 4 1 0 3 3
17 Peralada 3 0 2 1 2
18 Europa II 3 0 2 1 2
# TEAM MP GS GC +/- PTS
1 Martinenc 3 6 5 +1 5
2 Montañesa 3 5 0 +5 9
3 Pobla Mafumet 3 5 3 +2 6
4 Cornellà 3 5 3 +2 5
5 San Juan Atletico de Montcada 4 5 7 -2 6
6 L'Hospitalet 3 4 2 +2 5
7 Vilanova 3 4 3 +1 5
8 San Cristóbal 3 4 4 0 4
9 Grama 3 3 3 0 4
10 Badalona 3 3 3 0 3
11 L'Escala 3 3 3 0 3
12 Atlètic Lleida 3 3 4 -1 4
13 Europa II 3 3 5 -2 2
14 Tona 4 3 6 -3 3
15 Cerdanyola del Vallès 3 2 3 -1 4
16 Peralada 3 2 3 -1 2
17 Vilassar Mar 3 2 4 -2 3
18 Mollerussa 3 1 2 -1 3