Prediction Audit: FC Obermais vs Mestre Prediction, Odds & AI Betting Tips

Sep 27, 2026 - 13:00
2 1.28
2 1.32
xG Accuracy: 68%

The model missed the final outcome (Draw 2–2).

The model had projected Mestre at 36.1%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 Yes ✔ Correct
  • 1X2 Mestre Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 2-2 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Mestre higher than the statistical model.

Largest probability gap: Mestre -14.7 pp

Outcome Model Closing Market Difference Signal
FC Obermais 34.2% 22.3% +11.9 pp Model Edge
Draw 29.6% 26.9% +2.7 pp Aligned
Mestre 36.1% 50.8% -14.7 pp Market Higher

The closing market estimates Mestre's win probability at 50.8%, compared with the model's estimate of 36.1%, a difference of 14.7 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: PRE10.

After full time, the result was Draw 2–2.

Market Assessment

The market is materially more optimistic about Mestre than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Both Teams To Score (Yes) matched the full-time result
  • Over 2.5 goals aligned with the xG profile

What failed

  • 1X2: model leaned Mestre; match finished Draw
  • Exact score: outside the model's top score bins

Market lesson

The closing market differed from the model on Mestre by 14.7 percentage points (50.8% 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 27, 2026 · 12:57 UTC Forecast generated
    • Model 1X2 · FC Obermais 34.2% · Draw 29.7% · Mestre 36.1%
    • xG · FC Obermais 1.28 — Mestre 1.32
  2. Sep 27, 2026 · 12:38 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC Obermais 3.98 · Draw 3.30 · Mestre 1.75
    • Implied 1X2 · FC Obermais 22.3% · Draw 26.9% · Mestre 50.8%
    • Bookmaker · Pinnacle
  3. Sep 27, 2026 · 12:57 UTC Closing snapshot recorded PRE10
    • 1X2 odds · FC Obermais 3.98 · Draw 3.30 · Mestre 1.75
    • Implied 1X2 · FC Obermais 22.3% · Draw 26.9% · Mestre 50.8%
    • Bookmaker · Pinnacle
  4. Sep 27, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Draw · 2–2
  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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 26/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:32 UTC Snapshot ID: dp-10093730

Closing Odds 1.75
AI Fair Odds —
CLV Pending
Final Result Draw · FC Obermais 2–2 Mestre
Prediction ✖ Missed
Decision Grade C

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: Serie D - Girone C
  • Fixture: FC Obermais vs Mestre
  • Kickoff: 2026-09-27 13:00:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): FC Obermais 1.28 — Mestre 1.32 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.4%, 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 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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

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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Serie D - Girone C Serie D - Girone C — Standings
# TEAM MP W D L PTS
1 Clodiense 4 3 1 0 10
2 Cjarlins Muzane 4 3 0 1 9
3 Campodarsego 4 3 0 1 9
4 Luparense 4 2 2 0 8
5 Mestre 4 2 2 0 8
6 Sandona 4 2 1 1 7
7 Conegliano 4 2 1 1 7
8 Virtus Bolzano 4 2 0 2 6
9 LME 4 1 2 1 5
10 Calvi Noale 4 1 2 1 5
11 Legnago Salus 4 1 1 2 4
12 FC Obermais 4 1 1 2 4
13 Triestina 4 0 3 1 3
14 Este 4 1 0 3 3
15 Bassano Virtus 4 0 3 1 3
16 Schio 4 0 3 1 3
17 Altavilla 4 0 2 2 2
18 Brian Lignano 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Cjarlins Muzane 4 11 5 +6 9
2 Clodiense 4 9 4 +5 10
3 Campodarsego 4 9 6 +3 9
4 Luparense 4 8 2 +6 8
5 Mestre 4 6 3 +3 8
6 Sandona 4 5 4 +1 7
7 Legnago Salus 4 5 7 -2 4
8 Altavilla 4 5 7 -2 2
9 Brian Lignano 4 5 11 -6 0
10 LME 4 4 4 0 5
11 Triestina 4 4 5 -1 3
12 FC Obermais 4 4 7 -3 4
13 Virtus Bolzano 4 4 8 -4 6
14 Este 4 3 4 -1 3
15 Calvi Noale 4 2 3 -1 5
16 Bassano Virtus 4 2 3 -1 3
17 Conegliano 4 2 4 -2 7
18 Schio 4 1 2 -1 3