Predictions / Football / Brazil. Serie A / Fluminense vs remo

Prediction Audit: Fluminense vs remo Prediction, Odds & AI Betting Tips

Aug 22, 2026 - 19:00
2 1.45
1 0.89
xG Accuracy: 83%

AI correctly predicted the Fluminense win.

The match finished 2–1, 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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Fluminense Fluminense ✔ Correct
  • Correct Score Insights 1-0, 1-1, 2-0, 0-0, 2-1 2-1 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Fluminense higher than the statistical model.

Largest probability gap: Fluminense -14.9 pp

Outcome Model Closing Market Difference Signal
Fluminense 48.6% 63.4% -14.9 pp Market Higher
Draw 29.9% 23.9% +6.0 pp Model Higher
remo 21.5% 12.7% +8.8 pp Model Higher

The closing market estimates Fluminense's win probability at 63.4%, compared with the model's estimate of 48.6%, a difference of 14.9 percentage points. This highlights a disagreement between the model and market consensus, without 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 (Fluminense win 2–1).

Market Assessment

The market is materially more optimistic about Fluminense than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Fluminense attacking xG significantly stronger (1.45 vs 0.89)
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Fluminense higher (63.5% vs model 48.6%, 14.9 pp), but the model's lean was validated (Fluminense win 2–1).

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Prediction Timeline

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

  1. Aug 22, 2026 · 20:08 UTC Forecast generated
    • Model 1X2 · Fluminense 48.5% · Draw 29.9% · remo 21.5%
    • xG · Fluminense 1.45 — remo 0.89
  2. Aug 22, 2026 · 18:31 UTC Opening odds snapshot PRE30
    • 1X2 odds · Fluminense 1.50 · Draw 4.29 · remo 7.40
    • Implied 1X2 · Fluminense 64.4% · Draw 22.5% · remo 13.1%
    • Bookmaker · Pinnacle
  3. Aug 22, 2026 · 18:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Fluminense 1.52 · Draw 4.03 · remo 7.62
    • Implied 1X2 · Fluminense 63.4% · Draw 23.9% · remo 12.7%
    • Bookmaker · Pinnacle
  4. Aug 22, 2026 · 19:00 UTC Kickoff
  5. FT Full-time result Fluminense win · 2–1
  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: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 25/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 16, 2026 · 03:04 UTC Snapshot ID: dp-4241917

Closing Odds 1.52
AI Fair Odds —
CLV Pending
Final Result Fluminense win · Fluminense 2–1 remo
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

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Serie A
  • Fixture: Fluminense vs remo
  • Kickoff: 2026-08-22 19:00:00
  • 1X2 (model): Home 48.5% · Draw 29.9% · Away 21.5%
  • xG (showing): Fluminense 1.45 — remo 0.89 (total xG ≈ 2.34)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 58.6% · Over 2.5 41.4%); BTTS No (Yes 46.7% · No 53.3%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 46.7% · No 53.3%
  • Correct score (top bin): 1-0 (14.0%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Monitor

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 26, 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