Predictions / Football / Brazil. Serie D / Ipatinga vs CSA

Prediction Audit: Ipatinga vs CSA Prediction, Odds & AI Betting Tips

Ipatinga Ipatinga
Jul 04, 2026 - 20:00
1 1.21
0 1.39
xG Accuracy: 64%
CSA CSA

The model missed the final outcome (Ipatinga win 1–0).

The model had projected CSA at 39.5%, 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 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 CSA Ipatinga ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Model vs Closing Market

Moderate Disagreement

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

Largest probability gap: Ipatinga +5.8 pp

Outcome Model Closing Market Difference Signal
Ipatinga 31.0% 25.2% +5.8 pp Model Higher
Draw 29.5% 31.9% -2.4 pp Aligned
CSA 39.5% 42.9% -3.5 pp Aligned

The statistical model estimates Ipatinga's win probability at 31.0%, compared with the closing market's implied probability of 25.2%, a difference of 5.8 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 Ipatinga win 1–0.

Market Assessment

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

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

Post Match Insights

What worked

  • Under 2.5 goals aligned with the xG profile
  • 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
  • 1X2: model leaned CSA; match finished Ipatinga

Market lesson

The closing market differed from the model on CSA by 5.8 percentage points (33.7% vs model 39.5%) — 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 04, 2026 · 21:54 UTC Forecast generated
    • Model 1X2 · Ipatinga 31.0% · Draw 29.5% · CSA 39.5%
    • xG · Ipatinga 1.21 — CSA 1.39
  2. Jul 04, 2026 · 19:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Ipatinga 3.59 · Draw 2.84 · CSA 2.11
    • Implied 1X2 · Ipatinga 25.2% · Draw 31.9% · CSA 42.9%
    • Bookmaker · Pinnacle
  3. Jul 04, 2026 · 19:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Ipatinga 3.59 · Draw 2.84 · CSA 2.11
    • Implied 1X2 · Ipatinga 25.2% · Draw 31.9% · CSA 42.9%
    • Bookmaker · Pinnacle
  4. Jul 04, 2026 · 20:00 UTC Kickoff
  5. FT Full-time result Ipatinga win · 1–0
  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 76/100 · High
  • Validation: Pass
Evidence ★★★★★
  • No strong statistical edge
  • Direction agrees with model lean
  • Validation passed
Market Compatibility 70/100
Betting Confidence 79/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 03:59 UTC Snapshot ID: dp-1547699

Closing Odds 3.59
AI Fair Odds —
CLV Pending
Final Result Ipatinga win · Ipatinga 1–0 CSA
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 D
  • Fixture: Ipatinga vs CSA
  • Kickoff: 2026-07-04 20:00:00
  • 1X2 (model): Home 31.0% · Draw 29.5% · Away 39.5%
  • xG (showing): Ipatinga 1.21 — CSA 1.39 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

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: 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

October 03, 2026 (UTC)

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Serie D Serie D — Standings
# TEAM MP W D L PTS
1 Manauara 10 6 4 0 22
2 Nacional AM 10 6 2 2 20
3 Sao Raimundo 10 3 4 3 13
4 Monte Roraima 10 2 4 4 10
5 Manaus FC 10 2 4 4 10
6 GAS 10 1 2 7 5
# TEAM MP GS GC +/- PTS
1 Nacional AM 10 15 9 +6 20
2 Manauara 10 13 5 +8 22
3 Monte Roraima 10 11 14 -3 10
4 Sao Raimundo 10 10 7 +3 13
5 Manaus FC 10 8 13 -5 10
6 GAS 10 8 17 -9 5