Prediction Audit: Latina vs Forli Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 16:00
2 1.38
0 1.22
xG Accuracy: 60%

AI correctly predicted the Latina win.

The match finished 2–0, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Latina Latina ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-0 ✖ Incorrect

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Exact score: outside the model's top score bins

Market lesson

The model's directional lean matched the full-time result (Latina win 2–0).

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Prediction Timeline

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

  1. Aug 30, 2026 · 03:47 UTC Forecast generated
    • xG · Latina 1.38 — Forli 1.22
  2. Sep 05, 2026 · 16:00 UTC Kickoff
  3. FT Full-time result Latina win · 2–0
  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: Aug 30, 2026 · 03:47 UTC Snapshot ID: dp-6162369

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Latina win · Latina 2–0 Forli
Prediction ✔ Correct
Decision Grade B-

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 C - Girone B
  • Fixture: Latina vs Forli
  • Kickoff: 2026-09-05 16:00:00
  • 1X2 (model): Home 39.0% · Draw 29.5% · Away 31.5%
  • xG (showing): Latina 1.38 — Forli 1.22 (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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • 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.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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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Serie C - Girone B Serie C - Girone B — Standings
# TEAM MP W D L PTS
1 Spezia 7 6 1 0 19
2 Ravenna 7 5 2 0 17
3 Grosseto 7 4 3 0 15
4 Reggiana 7 4 2 1 14
5 Livorno 7 4 2 1 14
6 Città di Campobasso 7 3 2 2 11
7 Torres 7 3 2 2 11
8 Forli 7 2 4 1 10
9 Perugia 7 3 1 3 10
10 Guidonia Montecelio 1937 7 2 3 2 9
11 Atalanta II 6 3 0 3 9
12 Pescara 7 2 2 3 8
13 Ostia Mare 7 2 1 4 7
14 Gubbio 7 2 1 4 7
15 Pineto 7 1 4 2 7
16 Latina 6 1 2 3 5
17 Vado 7 1 2 4 5
18 Vis Pesaro 7 1 1 5 4
19 Pianese 7 0 3 4 3
20 Sambenedettese 7 0 2 5 2
# TEAM MP GS GC +/- PTS
1 Spezia 7 14 4 +10 19
2 Grosseto 7 13 4 +9 15
3 Forli 7 13 11 +2 10
4 Ravenna 7 12 2 +10 17
5 Reggiana 7 12 6 +6 14
6 Città di Campobasso 7 11 10 +1 11
7 Livorno 7 10 8 +2 14
8 Guidonia Montecelio 1937 7 9 7 +2 9
9 Pescara 7 9 11 -2 8
10 Gubbio 7 9 13 -4 7
11 Torres 7 8 8 0 11
12 Ostia Mare 7 8 9 -1 7
13 Sambenedettese 7 8 13 -5 2
14 Vis Pesaro 7 8 16 -8 4
15 Atalanta II 6 7 9 -2 9
16 Pineto 7 6 10 -4 7
17 Perugia 7 6 11 -5 10
18 Latina 6 5 8 -3 5
19 Vado 7 5 8 -3 5
20 Pianese 7 4 9 -5 3