Statistics / Football / Brazil. Serie B / Vila Nova vs Ceara

Vila Nova vs Ceara Statistics & Analysis

Aug 30, 2026 - 21:30
2 1.50
0 0.87
xG Accuracy: 69%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

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 Under 2.5 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Vila Nova Vila Nova ✔ Correct
  • Correct Score Insights 1-0, 1-1, 2-0, 0-0, 2-1 2-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Aug 24, 2026 · 02:53 UTC Snapshot ID: dp-5305802

Closing Odds 4.59
AI Fair Odds —
CLV +0.0%
Final Result Vila Nova win · Vila Nova 2–0 Ceara
Prediction ✔ Correct
Decision Grade A

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 Over 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 Over 2.5 goals by about 2.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Vila Nova (1X2) 50.5 49.8 +0.7
Draw (1X2) 29.3 29.3 +0.0
Ceara (1X2) 20.2 20.9 -0.7
Over 2.5 goals 42.2 40.1 +2.0
Under 2.5 goals 57.8 59.9 -2.0
What this means

In plain terms: the model lands near 42.2% on Over 2.5 goals, while the closing snapshot implied about 40.1%. The difference — about 2.0 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)
Vila Nova (1X2) 1.93 1.93 0.0
Draw (1X2) 3.28 3.28 0.0
Ceara (1X2) 4.59 4.59 0.0
Over 2.5 goals 2.4 2.4 0.0
Under 2.5 goals 1.61 1.61 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Serie B
  • Fixture: Vila Nova vs Ceara
  • Kickoff: 2026-08-30 21:30:00
  • 1X2 (model): Home 50.5% · Draw 29.3% · Away 20.2%
  • xG (showing): Vila Nova 1.5 — Ceara 0.87 (total xG ≈ 2.37)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
  • Model: 42.2% · Implied: 40.3% · Probability edge: +1.9 pts · Est. EV: +3.4%
  • BTTS (model): Yes 46.7% · No 53.3%
  • Correct score (top bin): 1-0 (14.0%)

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

Early match state can move realised goals away from pre-kick projections.

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 27, 2026 (UTC)

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Back to Statistics
Serie B Serie B — Standings
# TEAM MP W D L PTS
1 Vila Nova 30 16 6 8 54
2 Novorizontino 30 14 9 7 51
3 Fortaleza EC 29 14 9 6 51
4 Juventude 29 14 8 7 50
5 Atletico Goianiense 30 13 10 7 49
6 Operario-PR 30 13 9 8 48
7 Criciuma 29 13 8 8 47
8 CRB 29 13 6 10 45
9 Sport Recife 30 11 11 8 44
10 Cuiaba 29 10 13 6 43
11 Goias 30 12 6 12 42
12 São Bernardo 30 11 9 10 42
13 Nautico Recife 30 11 8 11 41
14 Athletic Club 29 10 11 8 41
15 Ceara 30 9 9 12 36
16 Botafogo SP 29 8 8 13 32
17 Avai 29 8 6 15 30
18 Londrina 30 7 7 16 28
19 America Mineiro 29 4 5 20 17
20 Ponte Preta 29 3 4 22 13
# TEAM MP GS GC +/- PTS
1 Novorizontino 30 49 27 +22 51
2 Vila Nova 30 43 31 +12 54
3 Operario-PR 30 43 38 +5 48
4 CRB 29 42 41 +1 45
5 São Bernardo 30 40 31 +9 42
6 Sport Recife 30 40 32 +8 44
7 Londrina 30 39 43 -4 28
8 Nautico Recife 30 38 37 +1 41
9 Atletico Goianiense 30 37 27 +10 49
10 Athletic Club 29 34 31 +3 41
11 Fortaleza EC 29 33 24 +9 51
12 Ceara 30 33 39 -6 36
13 Botafogo SP 29 32 36 -4 32
14 Juventude 29 31 19 +12 50
15 Cuiaba 29 30 22 +8 43
16 Goias 30 30 36 -6 42
17 Avai 29 30 38 -8 30
18 Criciuma 29 28 27 +1 47
19 America Mineiro 29 21 49 -28 17
20 Ponte Preta 29 17 62 -45 13
# TEAM MP xG xGC +/- PTS
1 Novorizontino 30 17.2 9.2 +8.0 51
2 Fortaleza EC 29 16.8 10.1 +6.7 51
3 Cuiaba 29 12.3 7.0 +5.3 43
4 Atletico Goianiense 30 15.2 11.1 +4.1 49
5 Avai 29 11.9 8.5 +3.4 30
6 Vila Nova 30 13.3 10.1 +3.2 54
7 CRB 29 18.6 15.8 +2.8 45
8 Juventude 29 10.2 8.0 +2.2 50
9 Criciuma 29 10.0 8.1 +1.9 47
10 Sport Recife 30 13.7 12.6 +1.1 44
11 Londrina 30 10.4 9.6 +0.8 28
12 São Bernardo 30 12.6 12.6 0.0 42
13 Botafogo SP 29 13.7 13.8 -0.1 32
14 Nautico Recife 30 15.3 16.1 -0.8 41
15 Goias 30 11.8 13.1 -1.3 42
16 Operario-PR 30 12.8 16.2 -3.4 48
17 Ceara 30 9.1 14.2 -5.1 36
18 America Mineiro 29 11.7 16.9 -5.2 17
19 Athletic Club 29 11.9 19.2 -7.3 41
20 Ponte Preta 29 8.7 24.8 -16.1 13