Predictions / Football / San-Marino. Campionato / Pennarossa vs Murata

Prediction Audit: Pennarossa vs Murata Prediction, Odds & AI Betting Tips

Sep 06, 2026 - 13:00
1 1.48
4 1.12
xG Accuracy: 40%

The model missed the final outcome (Murata win 1–4).

The model had projected Pennarossa at 43.8%, 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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Pennarossa Murata ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-4 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Pennarossa higher than the statistical model.

Largest probability gap: Pennarossa -21.8 pp

Outcome Model Closing Market Difference Signal
Pennarossa 43.8% 65.6% -21.8 pp Market Higher
Draw 29.1% 19.9% +9.2 pp Model Higher
Murata 27.1% 14.5% +12.6 pp Model Edge

The closing market estimates Pennarossa's win probability at 65.6%, compared with the model's estimate of 43.8%, a difference of 21.8 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: PRE5.

After full time, the result was Murata win 1–4.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 5 goals materialised
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (5 goals)
  • 1X2: model leaned Pennarossa; match finished Murata

Market lesson

The closing market differed from the model on Pennarossa by 21.8 percentage points (65.6% vs model 43.8%) — in this case the market view proved closer.

Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

Prediction Timeline

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

  1. Sep 06, 2026 · 13:00 UTC Forecast generated
    • Model 1X2 · Pennarossa 43.9% · Draw 29.1% · Murata 27.1%
    • xG · Pennarossa 1.48 — Murata 1.12
  2. Sep 06, 2026 · 12:34 UTC Opening odds snapshot PRE30
    • 1X2 odds · Pennarossa 1.35 · Draw 4.46 · Murata 6.11
    • Implied 1X2 · Pennarossa 65.6% · Draw 19.9% · Murata 14.5%
    • Bookmaker · Pinnacle
  3. Sep 06, 2026 · 12:59 UTC Closing snapshot recorded PRE5
    • 1X2 odds · Pennarossa 1.35 · Draw 4.46 · Murata 6.11
    • Implied 1X2 · Pennarossa 65.6% · Draw 19.9% · Murata 14.5%
    • Bookmaker · Pinnacle
  4. Sep 06, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Murata win · 1–4
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 31, 2026 · 07:05 UTC Snapshot ID: dp-6356607

Closing Odds 1.35
AI Fair Odds —
CLV Pending
Final Result Murata win · Pennarossa 1–4 Murata
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

Pre-match snapshot for this fixture.

  • League: Campionato
  • Fixture: Pennarossa vs Murata
  • Kickoff: 2026-09-06 13:00:00
  • 1X2 (model): Home 43.9% · Draw 29.1% · Away 27.1%
  • xG (showing): Pennarossa 1.48 — Murata 1.12 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 53.6% · No 46.4%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.6% · No 46.4%
  • Correct score (top bin): 1-1 (12.3%)

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: Wait

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)

Get Premium Predictions for Pennarossa & Murata!

Unlock in-depth analysis, exclusive betting tips, and match forecasts with our premium subscription service.

Subscribe Now
Back to Predictions
Campionato Campionato — Standings
# TEAM MP W D L PTS
1 Folgore 4 4 0 0 12
2 Tre Penne 4 4 0 0 12
3 Virtus 4 3 1 0 10
4 Tre Fiori 4 3 0 1 9
5 Cosmos 4 2 1 1 7
6 Domagnano 4 2 0 2 6
7 La Fiorita 4 1 3 0 6
8 Libertas 4 1 2 1 5
9 Fiorentino 4 1 1 2 4
10 Juvenes / Dogana 4 1 0 3 3
11 Cailungo 4 1 0 3 3
12 Murata 4 1 0 3 3
13 San Giovanni 4 1 0 3 3
14 Pennarossa 4 1 0 3 3
15 San Marino Academy 4 0 2 2 2
16 Faetano 4 0 2 2 2
# TEAM MP GS GC +/- PTS
1 Tre Fiori 4 14 5 +9 9
2 Folgore 4 10 1 +9 12
3 Tre Penne 4 9 2 +7 12
4 Cosmos 4 9 4 +5 7
5 Domagnano 4 7 6 +1 6
6 Pennarossa 4 7 16 -9 3
7 Virtus 4 6 2 +4 10
8 Juvenes / Dogana 4 6 6 0 3
9 La Fiorita 4 4 3 +1 6
10 Libertas 4 4 5 -1 5
11 Fiorentino 4 4 5 -1 4
12 Cailungo 4 4 5 -1 3
13 Murata 4 4 10 -6 3
14 San Giovanni 4 4 10 -6 3
15 San Marino Academy 4 1 5 -4 2
16 Faetano 4 1 9 -8 2