Prediction Audit: Arosa vs Gernika Prediction, Odds & AI Betting Tips

Sep 13, 2026 - 15:00
0 1.32
4 1.28
xG Accuracy: 33%

The model missed the final outcome (Gernika win 0–4).

The model had projected Arosa at 36.1%, 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 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Arosa Gernika ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-4 ✖ Incorrect

Model vs Closing Market

Moderate Disagreement

The closing market prices Arosa higher than the statistical model.

Largest probability gap: Arosa -6.3 pp

Outcome Model Closing Market Difference Signal
Arosa 36.1% 42.5% -6.3 pp Market Higher
Draw 29.6% 29.5% +0.2 pp Aligned
Gernika 34.2% 28.1% +6.2 pp Model Higher

The closing market estimates Arosa's win probability at 42.5%, compared with the model's estimate of 36.1%, a difference of 6.3 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: PRE5.

After full time, the result was Gernika win 0–4.

Market Assessment

The market and model broadly agree on Arosa. 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
  • Over 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • 1X2: model leaned Arosa; match finished Gernika

Market lesson

The closing market differed from the model on Arosa by 6.3 percentage points (42.5% vs model 36.1%) — 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 13, 2026 · 14:59 UTC Forecast generated
    • Model 1X2 · Arosa 36.1% · Draw 29.7% · Gernika 34.2%
    • xG · Arosa 1.32 — Gernika 1.28
  2. Sep 13, 2026 · 14:33 UTC Opening odds snapshot PRE30
    • 1X2 odds · Arosa 2.16 · Draw 3.11 · Gernika 3.27
    • Implied 1X2 · Arosa 42.5% · Draw 29.5% · Gernika 28.1%
    • Bookmaker · Pinnacle
  3. Sep 13, 2026 · 14:59 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Arosa 2.16 · Draw 3.11 · Gernika 3.27
    • Implied 1X2 · Arosa 42.5% · Draw 29.5% · Gernika 28.1%
    • Bookmaker · Pinnacle
  4. Sep 13, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Gernika win · 0–4
  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: Observe
Historical Decision No Primary Bet
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) 68/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:53 UTC Snapshot ID: dp-7447149

Closing Odds 2.16
AI Fair Odds —
CLV Pending
Final Result Gernika win · Arosa 0–4 Gernika
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: Segunda División RFEF - Group 1
  • Fixture: Arosa vs Gernika
  • Kickoff: 2026-09-13 15:00:00
  • 1X2 (model): Home 36.1% · Draw 29.7% · Away 34.2%
  • xG (showing): Arosa 1.32 — Gernika 1.28 (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%)

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: 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

September 29, 2026 (UTC)

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Segunda División RFEF - Group 1 Segunda División RFEF - Group 1 — Standings
# TEAM MP W D L PTS
1 Sestao River 4 3 0 1 9
2 Ourense CF 4 3 0 1 9
3 Gernika 3 2 1 0 7
4 Bergantiños 3 2 1 0 7
5 Portugalete 3 2 1 0 7
6 Eibar II 3 2 0 1 6
7 Deportivo Alavés II 3 2 0 1 6
8 Coruxo 3 1 1 1 4
9 Basconia 3 1 1 1 4
10 Amorebieta 4 1 1 2 4
11 Compostela 3 1 1 1 4
12 Atlético Astorga 4 1 0 3 3
13 Marino de Luanco 3 1 0 2 3
14 Real Oviedo II 3 1 0 2 3
15 Gimnástica Torrelavega 3 1 0 2 3
16 Arosa 3 0 2 1 2
17 Racing Santander II 3 0 1 2 1
18 Llanera 3 0 0 3 0
# TEAM MP GS GC +/- PTS
1 Gernika 3 10 2 +8 7
2 Bergantiños 3 6 2 +4 7
3 Basconia 3 6 6 0 4
4 Sestao River 4 5 2 +3 9
5 Ourense CF 4 5 3 +2 9
6 Deportivo Alavés II 3 5 4 +1 6
7 Atlético Astorga 4 5 6 -1 3
8 Eibar II 3 4 2 +2 6
9 Coruxo 3 4 3 +1 4
10 Amorebieta 4 4 4 0 4
11 Arosa 3 4 8 -4 2
12 Portugalete 3 3 1 +2 7
13 Marino de Luanco 3 3 5 -2 3
14 Real Oviedo II 3 3 6 -3 3
15 Compostela 3 2 3 -1 4
16 Gimnástica Torrelavega 3 2 5 -3 3
17 Llanera 3 2 8 -6 0
18 Racing Santander II 3 1 4 -3 1