Machida Zelvia vs Kyoto Sanga Statistics & Analysis

Machida Zelvia

Oct 03, 2026 - 07:00

0(5) 1.33

0(3) 1.27

xG Accuracy: 49%

Kyoto Sanga

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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 Under 2.5 (0 goals) ✔ Correct
Both Teams To Score BTTS No No ✔ Correct
1X2 Machida Zelvia Draw ✖ Incorrect
Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 0-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 27, 2026 · 00:55 UTC Snapshot ID: dp-11217356

Closing Odds Pending

AI Fair Odds —

CLV Pending

Final Result Draw · Machida Zelvia 0–0 Kyoto Sanga

Prediction ✖ Missed

Decision Grade C

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: J-League Cup
Fixture: Machida Zelvia vs Kyoto Sanga
Kickoff: 2026-10-03 07:00:00
1X2 (model): Home 36.6% · Draw 29.6% · Away 33.8%
xG (showing): Machida Zelvia 1.33 — Kyoto Sanga 1.27 (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 Yes (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%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

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 11, 2026 (UTC)

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