Jacuipense vs Treze Statistics & Analysis

Tracked markets vs full-time result

Validation Report

Market intelligence

AI match briefing

Model Performance

Market briefing

Model vs. closing implied

Closing-window line move

AI Match Summary

Historical Recommendation

Risk Factors Considered Before Kickoff

Last Updated

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Serie D — Standings

Jacuipense

Jun 21, 2026 - 19:00

1 1.42

3 1.18

xG Accuracy: 54%

Treze

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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 (4 goals) ✖ Incorrect
Both Teams To Score BTTS Yes Yes ✔ Correct
1X2 Jacuipense Treze ✖ Incorrect
Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 1-3 ✖ Incorrect

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 10:55 UTC Snapshot ID: dp-1697374

Closing Odds 2.52

AI Fair Odds —

CLV +0.0%

Final Result Treze win · Jacuipense 1–3 Treze

Prediction ✖ Missed

Decision Grade F

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

The largest late implied swing on this feed was about 7.74 percentage points on Over 2.5 goals between PRE30 and PRE1.

The model still exceeds closing implied on Jacuipense (1X2) by about 4.8 percentage points — the clearest mispricing signal summarized on this page.

Market	Model %	Closing impl. %	Gap (pp)
Jacuipense (1X2)	38.6	33.8	+4.8
Draw (1X2)	30.2	29.8	+0.4
Treze (1X2)	31.2	36.4	-5.2
Over 2.5 goals	48.2	48.2	+0.0
Under 2.5 goals	51.8	51.8	-0.0

What this means

In plain terms: the model lands near 38.6% on Jacuipense (1X2), while the closing snapshot implied about 33.8%. The difference — about 4.8 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Market	Early (PRE30)	Closing (PRE1)	Implied Δ (pp)
Jacuipense (1X2)	2.77	2.71	+1.1
Draw (1X2)	2.81	3.07	-2.4
Treze (1X2)	2.58	2.52	+1.3
Over 2.5 goals	2.3	1.97	+7.7
Under 2.5 goals	1.56	1.83	-7.7

Quick read on how the model reads this matchup.

League: Serie D
Fixture: Jacuipense vs Treze
Kickoff: 2026-06-21 19:00:00
1X2 (model): Home 38.6% · Draw 30.2% · Away 31.2%
xG (showing): Jacuipense 1.42 — Treze 1.18 (total xG ≈ 2.6)
Best +EV line (same label as hero card when Primary thresholds are not met): Over 2.5 goals
Model: 48.2% · Implied: 47.5% · Probability edge: +0.7 pts · Est. EV: +2.2%
BTTS (model): Yes 54.1% · No 45.9%
Correct score (top bin): 1-1 (12.4%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

1X2 can look balanced even when side markets show clearer structure.

Historical Decision: No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match the full-time result.

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%).

September 28, 2026 (UTC)

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