Prediction Audit: Joinville vs Blumenau Prediction, Odds & AI Betting Tips

Sep 05, 2026 - 18:00
1 1.27
0 1.33
xG Accuracy: 64%

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

The model had projected Blumenau at 36.6%, 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 Blumenau Joinville ✖ 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 Blumenau considerably stronger than the closing betting market.

Largest probability gap: Blumenau +6.8 pp

Outcome Model Closing Market Difference Signal
Joinville 33.8% 39.4% -5.6 pp Market Higher
Draw 29.6% 30.9% -1.2 pp Aligned
Blumenau 36.6% 29.8% +6.8 pp Model Higher

The statistical model estimates Blumenau's win probability at 36.6%, compared with the closing market's implied probability of 29.8%, a difference of 6.8 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 Joinville win 1–0.

Market Assessment

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

  • 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 Blumenau; match finished Joinville

Market lesson

The closing market differed from the model on Blumenau by 6.8 percentage points (29.8% vs model 36.6%) — 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. Sep 05, 2026 · 18:02 UTC Forecast generated
    • Model 1X2 · Joinville 33.8% · Draw 29.6% · Blumenau 36.6%
    • xG · Joinville 1.27 — Blumenau 1.33
  2. Sep 05, 2026 · 17:32 UTC Opening odds snapshot PRE30
    • 1X2 odds · Joinville 2.26 · Draw 2.88 · Blumenau 2.99
    • Implied 1X2 · Joinville 39.4% · Draw 30.9% · Blumenau 29.8%
    • Bookmaker · Pinnacle
  3. Sep 05, 2026 · 18:01 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Joinville 2.26 · Draw 2.88 · Blumenau 2.99
    • Implied 1X2 · Joinville 39.4% · Draw 30.9% · Blumenau 29.8%
    • Bookmaker · Pinnacle
  4. Sep 05, 2026 · 18:00 UTC Kickoff
  5. FT Full-time result Joinville 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: 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
Pricing proximity (inverse gap) 22/100
Monitoring Confidence 34/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 30, 2026 · 04:08 UTC Snapshot ID: dp-6166812

Closing Odds 2.99
AI Fair Odds —
CLV Pending
Final Result Joinville win · Joinville 1–0 Blumenau
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: Copa Santa Catarina
  • Fixture: Joinville vs Blumenau
  • Kickoff: 2026-09-05 18:00:00
  • 1X2 (model): Home 33.8% · Draw 29.6% · Away 36.6%
  • xG (showing): Joinville 1.27 — Blumenau 1.33 (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 (12.5%)

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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