Prediction Audit: Borgosesia vs Bra Prediction, Odds & AI Betting Tips

Sep 20, 2026 - 13:00
1 1.28
1 1.32
xG Accuracy: 85%

The model missed the final outcome (Draw 1–1).

The model had projected Bra 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 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Bra Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Bra higher than the statistical model.

Largest probability gap: Bra -11.0 pp

Outcome Model Closing Market Difference Signal
Borgosesia 34.2% 25.3% +9.0 pp Model Higher
Draw 29.6% 27.6% +2.0 pp Aligned
Bra 36.1% 47.1% -11.0 pp Market Higher

The closing market estimates Bra's win probability at 47.1%, compared with the model's estimate of 36.1%, a difference of 11.0 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: PRE1.

After full time, the result was Draw 1–1.

Market Assessment

The market is materially more optimistic about Bra 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

  • Both Teams To Score (Yes) matched the full-time result
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (2 goals)
  • 1X2: model leaned Bra; match finished Draw

Market lesson

The closing market differed from the model on Bra by 11.0 percentage points (47.1% 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 20, 2026 · 13:06 UTC Forecast generated
    • Model 1X2 · Borgosesia 34.2% · Draw 29.7% · Bra 36.1%
    • xG · Borgosesia 1.28 — Bra 1.32
  2. Sep 20, 2026 · 12:38 UTC Opening odds snapshot PRE30
    • 1X2 odds · Borgosesia 3.50 · Draw 3.21 · Bra 1.89
    • Implied 1X2 · Borgosesia 25.4% · Draw 27.7% · Bra 47.0%
    • Bookmaker · Pinnacle
  3. Sep 20, 2026 · 13:06 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Borgosesia 3.56 · Draw 3.26 · Bra 1.91
    • Implied 1X2 · Borgosesia 25.3% · Draw 27.6% · Bra 47.1%
    • Bookmaker · Pinnacle
  4. Sep 20, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Draw · 1–1
  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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (11 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 44/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 01:39 UTC Snapshot ID: dp-8673259

Closing Odds 1.91
AI Fair Odds —
CLV Pending
Final Result Draw · Borgosesia 1–1 Bra
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: Serie D - Girone A
  • Fixture: Borgosesia vs Bra
  • Kickoff: 2026-09-20 13:00:00
  • 1X2 (model): Home 34.2% · Draw 29.7% · Away 36.1%
  • xG (showing): Borgosesia 1.28 — Bra 1.32 (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%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

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 28, 2026 (UTC)

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Serie D - Girone A Serie D - Girone A — Standings
# TEAM MP W D L PTS
1 Biellese 5 3 2 0 11
2 Derthona 5 3 2 0 11
3 Gozzano 5 3 1 1 10
4 Saluzzo 5 2 3 0 9
5 Millesimo 5 3 0 2 9
6 Alessandria 4 3 0 1 9
7 Imperia 4 2 1 1 7
8 Asti 5 2 1 2 7
9 Ligorna 5 2 1 2 7
10 Lascaris 5 2 1 2 7
11 Fezzanese 5 2 1 2 7
12 Sanremese 5 1 2 2 5
13 Borgosesia 4 1 2 1 5
14 Chisola 4 1 1 2 4
15 Sestri Levante 5 1 1 3 4
16 Bra 4 0 2 2 2
17 Valenzana 5 0 1 4 1
18 Celle Varazze 4 0 0 4 0
# TEAM MP GS GC +/- PTS
1 Ligorna 5 9 9 0 7
2 Biellese 5 8 4 +4 11
3 Saluzzo 5 8 4 +4 9
4 Millesimo 5 8 4 +4 9
5 Gozzano 5 7 3 +4 10
6 Alessandria 4 7 6 +1 9
7 Derthona 5 6 3 +3 11
8 Fezzanese 5 6 5 +1 7
9 Asti 5 6 7 -1 7
10 Sanremese 5 6 7 -1 5
11 Imperia 4 5 3 +2 7
12 Sestri Levante 5 5 8 -3 4
13 Valenzana 5 5 9 -4 1
14 Borgosesia 4 3 4 -1 5
15 Chisola 4 3 5 -2 4
16 Lascaris 5 3 6 -3 7
17 Bra 4 2 4 -2 2
18 Celle Varazze 4 1 7 -6 0
Serie D - Girone A Italy. Serie D - Girone A Predictions