Predictions / Football / Brazil. Serie A / Vitoria vs Vasco DA Gama

Prediction Audit: Vitoria vs Vasco DA Gama Prediction, Odds & AI Betting Tips

Jul 16, 2026 - 22:30
1 2.59
0 0.87
xG Accuracy: 51%

AI correctly predicted the Vitoria win.

The match finished 1–0, validating the model's directional assessment.

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 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Vitória Vitoria ✔ Correct
  • Correct Score Insights 2-0, 2-1, 3-0, 1-0, 3-1 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The model rates Vitoria considerably stronger than the closing betting market.

Largest probability gap: Vitoria +34.2 pp

Outcome Model Closing Market Difference Signal
Vitoria 73.4% 39.1% +34.2 pp Model Edge
Draw 17.2% 29.7% -12.4 pp Market Higher
Vasco DA Gama 9.4% 31.2% -21.8 pp Market Higher

The statistical model estimates Vitoria's win probability at 73.4%, compared with the closing market's implied probability of 39.1%, a difference of 34.2 percentage points. This highlights a substantial disagreement between the model's assessment and the market consensus, rather than 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 model's directional lean matched the result (Vitoria win 1–0).

Post Match Insights

What worked

  • Vitoria attacking xG significantly stronger (2.59 vs 0.87)
  • Exact score 1–0 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No
  • Over / Under 2.5: model leaned Over 2.5; match finished Under 2.5 (1 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Vitoria more conservatively (39.2% vs model 73.4%, 34.2 pp), but the model's lean was validated (Vitoria win 1–0).

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Prediction Timeline

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

  1. Jul 16, 2026 · 22:29 UTC Forecast generated
    • Model 1X2 · Vitoria 73.4% · Draw 17.2% · Vasco DA Gama 9.4%
    • xG · Vitoria 2.59 — Vasco DA Gama 0.87
  2. Jul 16, 2026 · 21:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Vitoria 2.47 · Draw 3.26 · Vasco DA Gama 3.10
    • Implied 1X2 · Vitoria 39.1% · Draw 29.7% · Vasco DA Gama 31.2%
    • Bookmaker · Pinnacle
  3. Jul 16, 2026 · 22:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Vitoria 2.47 · Draw 3.26 · Vasco DA Gama 3.10
    • Implied 1X2 · Vitoria 39.1% · Draw 29.7% · Vasco DA Gama 31.2%
    • Bookmaker · Pinnacle
  4. Jul 16, 2026 · 22:30 UTC Kickoff
  5. FT Full-time result Vitoria win · 1–0
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 20/100 · Not reliable
  • Validation: Fail
  • Large market gap (34 pp)
  • High xG deviation from league baseline (92%+)
Evidence ★★★★★
  • Strong model lean
  • Market strongly disagrees on price
  • Validation failed
Pricing proximity (inverse gap) 0/100
Monitoring Confidence 5/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 18:17 UTC Snapshot ID: dp-1483311

Closing Odds 2.47
AI Fair Odds —
CLV Pending
Final Result Vitoria win · Vitoria 1–0 Vasco DA Gama
Prediction ✔ Correct
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

Model favours Vitoria; market prices Vitoria instead — inputs may be missing or stale.

  • Model: Vitoria 2.59 xG vs Vasco DA Gama 0.87 → Vitoria 73.4%
  • Market: Vitoria ~39.1% implied
  • Validation failed — do not treat 1X2 EV as actionable.

Do not act on 1X2 value until validation passes. Structural leans (O/U, BTTS) need separate odds review.

Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 32.8% · Over 2.5 67.2%); BTTS Yes (Yes 54.7% · No 45.3%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes

Historical Recommendation

Historical Decision: Wait

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

October 02, 2026 (UTC)

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Serie A Serie A — Standings
# TEAM MP W D L PTS
1 Flamengo 28 18 6 4 60
2 Palmeiras 28 16 9 3 57
3 Atletico Paranaense 28 14 7 7 49
4 Fluminense 28 13 9 6 48
5 Bahia 28 12 10 6 46
6 Cruzeiro 28 13 6 9 45
7 Atletico-MG 27 11 7 9 40
8 Santos 27 10 8 9 38
9 Coritiba 28 10 8 10 38
10 RB Bragantino 27 10 6 11 36
11 Sao Paulo 27 10 6 11 36
12 Botafogo 28 9 8 11 35
13 Vitoria 28 9 6 13 33
14 Corinthians 28 8 8 12 32
15 Mirassol 28 8 8 12 32
16 Vasco DA Gama 27 8 7 12 31
17 Gremio 28 7 8 13 29
18 Internacional 28 6 10 12 28
19 remo 28 5 8 15 23
20 Chapecoense-sc 27 3 9 15 18
20 Chapecoense B 20 1 7 12 10
# TEAM MP GS GC +/- PTS
1 Flamengo 28 55 23 +32 60
2 Palmeiras 28 47 21 +26 57
3 Fluminense 28 44 36 +8 48
4 Atletico Paranaense 28 43 32 +11 49
5 Bahia 28 43 35 +8 46
6 Cruzeiro 28 42 40 +2 45
7 Santos 27 41 40 +1 38
8 Botafogo 28 41 45 -4 35
9 Coritiba 28 37 43 -6 38
10 Atletico-MG 27 36 32 +4 40
11 Vasco DA Gama 27 34 41 -7 31
12 RB Bragantino 27 33 31 +2 36
13 Mirassol 28 33 42 -9 32
14 Sao Paulo 27 32 30 +2 36
15 remo 28 32 47 -15 23
16 Internacional 28 30 36 -6 28
17 Gremio 28 30 38 -8 29
18 Corinthians 28 29 32 -3 32
19 Chapecoense-sc 27 29 53 -24 18
20 Vitoria 28 28 42 -14 33
21 Chapecoense B 20 19 41 -22 10
# TEAM MP xG xGC +/- PTS
1 Bahia 28 12.2 6.9 +5.3 46
2 Santos 27 9.9 6.6 +3.3 38
3 Flamengo 28 9.0 5.7 +3.3 60
4 Vasco DA Gama 27 9.2 6.1 +3.1 31
5 Atletico-MG 27 5.9 2.9 +3.0 40
6 Corinthians 28 7.2 4.7 +2.5 32
7 Atletico Paranaense 28 10.2 8.1 +2.1 49
8 Fluminense 28 8.7 6.8 +1.9 48
9 Palmeiras 28 8.2 6.5 +1.7 57
10 Botafogo 28 11.0 10.9 +0.1 35
11 Sao Paulo 27 4.9 4.8 +0.1 36
12 RB Bragantino 27 4.9 5.7 -0.8 36
13 Cruzeiro 28 9.3 10.2 -0.9 45
14 Mirassol 28 7.1 9.0 -1.9 32
15 remo 28 5.6 7.7 -2.1 23
16 Coritiba 28 4.9 7.1 -2.2 38
17 Chapecoense-sc 27 7.3 9.9 -2.6 18
18 Internacional 28 8.8 11.5 -2.7 28
19 Vitoria 28 6.6 11.7 -5.1 33
20 Gremio 28 5.3 13.5 -8.2 29
21 Chapecoense B 20 — — — 10