Toluca W vs Tijuana W Statistics & Analysis

Toluca W

Sep 15, 2026 - 00:00

6 1.35

0 1.25

xG Accuracy: 20%

Tijuana W

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Tracked markets vs full-time result

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 (6 goals) ✖ Incorrect
Both Teams To Score BTTS No No ✔ Correct
1X2 Toluca W Toluca W ✔ Correct
Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 6-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 09, 2026 · 02:10 UTC Snapshot ID: dp-7700418

Closing Odds 1.51

AI Fair Odds —

CLV +0.0%

Final Result Toluca W win · Toluca W 6–0 Tijuana W

Prediction ✔ Correct

Decision Grade B-

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Market intelligence

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

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Tijuana W (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 18.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
Toluca W (1X2)	37.6	61.5	-23.9
Draw (1X2)	29.6	20.6	+9.0
Tijuana W (1X2)	32.9	17.9	+14.9
Over 2.5 goals	48.2	67.1	-18.9
Under 2.5 goals	51.8	32.9	+18.9

What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 32.9%. The difference — about 18.9 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).

Closing-window line move

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.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table

Market	Early (PRE30)	Closing (PRE1)
Toluca W (1X2)	1.51	1.51
Draw (1X2)	4.51	4.51
Tijuana W (1X2)	5.17	5.17
Over 2.5 goals	1.39	1.39
Under 2.5 goals	2.84	2.84

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

League: Liga MX Femenil
Fixture: Toluca W vs Tijuana W
Kickoff: 2026-09-15 00:00:00
1X2 (model): Home 37.6% · Draw 29.6% · Away 32.9%
xG (showing): Toluca W 1.35 — Tijuana W 1.25 (total xG ≈ 2.6)
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 51.8% · Over 2.5 48.2%); BTTS No (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
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.

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

Historical Recommendation

Historical Decision: Wait - No Primary Bet

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 29, 2026 (UTC)

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Liga MX Femenil — Standings

#	TEAM	MP	W	D	L	PTS
1	Monterrey W	9	8	0	1	24
2	América W	8	7	1	0	22
3	Tigres UANL W	9	7	1	1	22
4	Juárez W	9	7	0	2	21
5	Guadalajara W	9	6	0	3	18
6	Atlético San Luis W	9	5	1	3	16
7	Toluca W	8	5	1	2	16
8	Pumas UNAM W	9	4	1	4	13
9	León W	8	4	0	4	12
10	Atlas W	9	3	3	3	12
11	Santos Laguna W	9	4	0	5	12
12	Cruz Azul W	9	4	0	5	12
13	Pachuca W	9	3	1	5	10
14	Atlante W	9	2	1	6	7
15	Querétaro W	9	2	0	7	6
16	Tijuana W	9	2	0	7	6
17	Puebla W	9	1	0	8	3
18	Necaxa W	8	0	0	8	0

#	TEAM	MP	GS	GC	+/-	PTS
1	América W	8	37	7	+30	22
2	Monterrey W	9	35	10	+25	24
3	Tigres UANL W	9	29	9	+20	22
4	Atlético San Luis W	9	22	16	+6	16
5	Guadalajara W	9	20	11	+9	18
6	Toluca W	8	19	15	+4	16
7	Pumas UNAM W	9	17	14	+3	13
8	León W	8	15	12	+3	12
9	Juárez W	9	14	6	+8	21
10	Pachuca W	9	13	13	0	10
11	Puebla W	9	13	38	-25	3
12	Santos Laguna W	9	12	20	-8	12
13	Tijuana W	9	12	24	-12	6
14	Cruz Azul W	9	11	21	-10	12
15	Atlas W	9	10	17	-7	12
16	Querétaro W	9	10	21	-11	6
17	Atlante W	9	6	12	-6	7
18	Necaxa W	8	3	32	-29	0