Predictions / Football / Brazil. Serie C / Floresta vs Maringá

Prediction Audit: Floresta vs Maringá Prediction, Odds & AI Betting Tips

Floresta Floresta
Jul 27, 2026 - 23:00
1 1.31
1 1.29
xG Accuracy: 85%
Maringá Maringá

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

The model had projected Floresta at 35.6%, but the full-time result went the other way.

Tracked markets vs full-time result

Prediction grade C

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 Yes Yes ✔ Correct
  • 1X2 Floresta Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-1 ✔ Correct

Model vs Closing Market

Moderate Disagreement

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

Largest probability gap: Floresta +5.9 pp

Outcome Model Closing Market Difference Signal
Floresta 35.6% 29.7% +5.9 pp Model Higher
Draw 29.6% 32.6% -2.9 pp Aligned
Maringá 34.7% 37.7% -3.0 pp Aligned

The statistical model estimates Floresta's win probability at 35.6%, compared with the closing market's implied probability of 29.7%, a difference of 5.9 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 result was Draw 1–1.

Market Assessment

The fair estimate shows a modest edge over current market pricing on Floresta.

  • Monitor line movement before kickoff — not a betting recommendation.

Post Match Insights

What worked

  • Both Teams To Score (Yes) matched the full-time result
  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–1 fell within the model's highlighted bins

What failed

  • 1X2: model leaned Floresta; match finished Draw

Market lesson

The closing market differed from the model on Floresta by 5.9 percentage points (29.7% vs model 35.6%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Jul 27, 2026 · 22:59 UTC Forecast generated
    • Model 1X2 · Floresta 35.6% · Draw 29.7% · Maringá 34.7%
    • xG · Floresta 1.31 — Maringá 1.29
  2. Jul 27, 2026 · 22:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Floresta 3.00 · Draw 2.88 · Maringá 2.44
    • Implied 1X2 · Floresta 30.6% · Draw 31.8% · Maringá 37.6%
    • Bookmaker · Pinnacle
  3. Jul 27, 2026 · 22:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Floresta 3.08 · Draw 2.81 · Maringá 2.43
    • Implied 1X2 · Floresta 29.7% · Draw 32.6% · Maringá 37.7%
    • Bookmaker · Pinnacle
  4. Jul 27, 2026 · 23:00 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: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 24/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 14:01 UTC Snapshot ID: dp-1455024

Closing Odds 3.08
AI Fair Odds —
CLV Pending
Final Result Draw · Floresta 1–1 Maringá
Prediction ✖ Missed
Decision Grade C

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 C
  • Fixture: Floresta vs Maringá
  • Kickoff: 2026-07-27 23:00:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): Floresta 1.31 — Maringá 1.29 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.6%)

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: Monitor

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 C Serie C — Standings
# TEAM MP W D L PTS
1 Botafogo PB 19 10 3 6 33
2 Brusque 19 9 5 5 32
3 Ferroviária 19 8 6 5 30
4 Maringá 19 8 6 5 30
5 Floresta 19 8 6 5 30
6 Inter De Limeira 19 8 6 5 30
7 Paysandu 19 9 2 8 29
8 Santa Cruz 19 8 5 6 29
9 Ypiranga-RS 19 8 5 6 29
10 Guarani Campinas 19 7 7 5 28
11 Figueirense 19 7 7 5 28
12 Maranhão 19 7 6 6 27
13 Amazonas 19 7 5 7 26
14 Caxias 19 6 7 6 25
15 Ituano 19 6 4 9 22
16 Volta Redonda 19 6 3 10 21
17 Barra 19 5 6 8 21
18 Anápolis 19 5 4 10 19
19 AO Itabaiana 19 4 5 10 17
20 Confiança 19 3 4 12 13
# TEAM MP GS GC +/- PTS
1 Guarani Campinas 19 34 24 +10 28
2 Maringá 19 32 30 +2 30
3 Botafogo PB 19 28 19 +9 33
4 Brusque 19 28 22 +6 32
5 Ypiranga-RS 19 27 24 +3 29
6 Paysandu 19 26 27 -1 29
7 Ferroviária 19 22 15 +7 30
8 Floresta 19 22 20 +2 30
9 Inter De Limeira 19 22 20 +2 30
10 Barra 19 21 21 0 21
11 Amazonas 19 21 23 -2 26
12 Santa Cruz 19 20 15 +5 29
13 Maranhão 19 19 18 +1 27
14 Figueirense 19 19 22 -3 28
15 Ituano 19 18 21 -3 22
16 Caxias 19 17 16 +1 25
17 Anápolis 19 17 22 -5 19
18 AO Itabaiana 19 14 27 -13 17
19 Volta Redonda 19 13 25 -12 21
20 Confiança 19 11 20 -9 13
Serie C Brazil. Serie C Predictions