Predictions / Football / Brazil. Serie A / Santos vs Mirassol

Prediction Audit: Santos vs Mirassol Prediction, Odds & AI Betting Tips

Santos Santos
Aug 23, 2026 - 21:30
1 1.75
1 1.25
xG Accuracy: 76%
Mirassol Mirassol

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

The model had projected Santos at 47.7%, 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 Santos Draw ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-0, 2-0, 1-2 1-1 ✔ Correct

Model vs Closing Market

Broadly Aligned

The model and closing market are broadly aligned.

Largest probability gap: Santos -4.8 pp

Outcome Model Closing Market Difference Signal
Santos 47.7% 52.5% -4.8 pp Aligned
Draw 26.3% 26.1% +0.3 pp Aligned
Mirassol 25.9% 21.4% +4.5 pp Aligned

The model and closing market are broadly aligned, with probability differences below 5 percentage points.

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 and model are broadly aligned. Any small pricing gap likely reflects rounding or bookmaker margin, not a structural disagreement.

  • Current pricing remains close to the model baseline.

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 Santos; match finished Draw

Market lesson

The full-time result was Draw 1–1, which did not match the model's pre-match lean on 1X2.

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Prediction Timeline

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

  1. Aug 23, 2026 · 21:29 UTC Forecast generated
    • Model 1X2 · Santos 47.7% · Draw 26.3% · Mirassol 26.0%
    • xG · Santos 1.75 — Mirassol 1.25
  2. Aug 23, 2026 · 21:00 UTC Opening odds snapshot PRE30
    • 1X2 odds · Santos 1.84 · Draw 3.71 · Mirassol 4.51
    • Implied 1X2 · Santos 52.5% · Draw 26.1% · Mirassol 21.4%
    • Bookmaker · Pinnacle
  3. Aug 23, 2026 · 21:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Santos 1.84 · Draw 3.71 · Mirassol 4.51
    • Implied 1X2 · Santos 52.5% · Draw 26.1% · Mirassol 21.4%
    • Bookmaker · Pinnacle
  4. Aug 23, 2026 · 21:30 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: Observe
Historical Decision No Primary Bet
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 77/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 76/100
Betting Confidence 80/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 17, 2026 · 01:59 UTC Snapshot ID: dp-4372617

Closing Odds 1.84
AI Fair Odds —
CLV Pending
Final Result Draw · Santos 1–1 Mirassol
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 A
  • Fixture: Santos vs Mirassol
  • Kickoff: 2026-08-23 21:30:00
  • 1X2 (model): Home 47.7% · Draw 26.3% · Away 26.0%
  • xG (showing): Santos 1.75 — Mirassol 1.25 (total xG ≈ 3.0)
  • Value headline: None (actionable) — best tracked EV is about +0.5%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 42.3% · Over 2.5 57.7%); BTTS Yes (Yes 60.4% · No 39.6%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 60.4% · No 39.6%
  • Correct score (top bin): 1-1 (10.9%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

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 29, 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
Serie A Brazil. Serie A Predictions