Statistics / Football / Italy. Serie B / Frosinone vs Mantova

Frosinone vs Mantova Statistics & Analysis

Frosinone Frosinone
May 08, 2026 - 18:30
5 1.84
0 1.26
xG Accuracy: 30%
Mantova Mantova
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Tracked markets vs full-time result

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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Frosinone Frosinone ✔ Correct
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 5-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 13:12 UTC Snapshot ID: dp-1708730

Closing Odds 1.59
AI Fair Odds —
CLV +0.0%
Final Result Frosinone win · Frosinone 5–0 Mantova
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Mantova (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Mantova (1X2) by about 7.7 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Frosinone (1X2) 49.7 60.3 -10.6
Draw (1X2) 25.5 22.6 +2.9
Mantova (1X2) 24.8 17.1 +7.7
Over 2.5 goals 59.9 62.4 -2.5
Under 2.5 goals 40.1 37.6 +2.5
What this means

In plain terms: the model lands near 24.8% on Mantova (1X2), while the closing snapshot implied about 17.1%. The difference — about 7.7 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE1) Implied Δ (pp)
Frosinone (1X2) 1.59 1.59 0.0
Draw (1X2) 4.25 4.25 0.0
Mantova (1X2) 5.61 5.61 0.0
Over 2.5 goals 1.54 1.54 0.0
Under 2.5 goals 2.55 2.55 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Serie B
  • Fixture: Frosinone vs Mantova
  • Kickoff: 2026-05-09 13:00:00
  • 1X2 (model): Home 49.7% · Draw 25.5% · Away 24.8%
  • xG (showing): Frosinone 1.84 — Mantova 1.26 (total xG ≈ 3.1)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 40.1% · Implied: 37.2% · Probability edge: +2.9 pts · Est. EV: +5.1%
  • BTTS (model): Yes 61.6% · No 38.4%
  • Correct score (top bin): 1-1 (10.4%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

1X2 can look balanced even when side markets show clearer structure.

Historical Recommendation

Historical Decision: Selective Lean - 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 28, 2026 (UTC)

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Back to Statistics
Serie B Serie B — Standings
# TEAM MP W D L PTS
1 Venezia 38 24 10 4 82
2 Frosinone 38 23 12 3 81
3 Monza 38 22 10 6 76
4 Palermo 38 20 12 6 72
5 Catanzaro 38 15 14 9 59
6 Modena 38 15 10 13 55
7 Juve Stabia 38 11 18 9 51
8 Avellino 38 13 10 15 49
9 Mantova 38 13 7 18 46
10 Padova 38 12 10 16 46
11 Cesena 38 12 10 16 46
12 Carrarese 38 10 14 14 44
13 Sampdoria 38 11 11 16 44
14 Virtus Entella 38 10 12 16 42
15 Empoli 38 9 14 15 41
16 Sudtirol 38 8 17 13 41
17 Bari 38 10 10 18 40
18 Reggiana 38 9 10 19 37
19 Spezia 38 8 11 19 35
20 Pescara 38 7 14 17 35
# TEAM MP GS GC +/- PTS
1 Venezia 38 77 31 +46 82
2 Frosinone 38 76 34 +42 81
3 Catanzaro 38 62 51 +11 59
4 Monza 38 61 32 +29 76
5 Palermo 38 61 33 +28 72
6 Pescara 38 51 66 -15 35
7 Modena 38 49 36 +13 55
8 Carrarese 38 47 52 -5 44
9 Empoli 38 47 54 -7 41
10 Cesena 38 45 56 -11 46
11 Mantova 38 45 57 -12 46
12 Juve Stabia 38 44 45 -1 51
13 Avellino 38 43 55 -12 49
14 Spezia 38 43 59 -16 35
15 Padova 38 39 49 -10 46
16 Sudtirol 38 38 48 -10 41
17 Bari 38 38 60 -22 40
18 Virtus Entella 38 36 51 -15 42
19 Reggiana 38 36 56 -20 37
20 Sampdoria 38 35 48 -13 44
# TEAM MP xG xGC +/- PTS
1 Venezia 38 73.9 33.1 +40.8 82
2 Monza 38 56.5 34.9 +21.6 76
3 Palermo 38 57.5 43.0 +14.5 72
4 Frosinone 38 62.1 49.0 +13.1 81
5 Modena 38 49.2 38.5 +10.7 55
6 Cesena 38 51.7 46.5 +5.2 46
7 Empoli 38 46.3 44.1 +2.2 41
8 Juve Stabia 38 41.7 39.6 +2.1 51
9 Sampdoria 38 39.2 37.2 +2.0 44
10 Catanzaro 38 50.2 49.0 +1.2 59
11 Mantova 38 49.0 50.6 -1.6 46
12 Spezia 38 48.4 51.1 -2.7 35
13 Sudtirol 38 41.8 44.9 -3.1 41
14 Virtus Entella 38 45.0 48.5 -3.5 42
15 Carrarese 38 45.1 55.0 -9.9 44
16 Pescara 38 46.4 58.1 -11.7 35
17 Reggiana 38 33.8 48.8 -15.0 37
18 Avellino 38 33.6 51.9 -18.3 49
19 Padova 38 33.3 52.3 -19.0 46
20 Bari 38 33.3 61.8 -28.5 40