J League · Score Research

08-15 18:00 CST · J League · Separate HT/FT models

Vissel Kobe

Home side / left market direction

Full-time first pick 1:1 Probability 28.0% · Low-total exact zone Low-total exact zone: 1:1 28.0%; 2:1 15.0%; 1:2 12.1% Half-time first pick 0:0 (61.0%)

FC Tokyo

Away side / right market direction

Five-Factor Read

1. Market strength Draw carries the highest weight

The handicap leans toward Vissel Kobe; the market prices the home side as stronger.

2. Form and pace 0:0

HT first pick is 0:0 (61.0%); HT draw probability is 65.2%, so the model still respects early caution.

3. AI Sidecar Read FT total 2.25

This match uses a DeepSeek AI sidecar factor. The AI signal only applies a small candidate-score reweighting and does not override the market/history main model by itself. AI note: 两队风格样本薄，攻击指数偏低，节奏倾向保守，主队让球浅，平局概率高，整体中性。

4. Venue factor non-neutral / normal weather

Venue: 御崎公园球技场. Non-neutral venue. Weather/temperature: 多云, 26℃～27℃. The schedule marks this as non-neutral, so home/away identity remains a weak background factor. Weather and temperature do not show a clear tempo-suppression signal. Together with the totals line and Under 3.5 probability, the venue layer supports a lower-tempo or lower-margin script rather than pushing the score upward.

5. Sample and soft factors Strong sample

299 comparable matches; market bucket support is solid

Full-Time Score Distribution

1:1 28.0%

2:1 15.0%

1:2 12.1%

2:2 9.4%

3:1 6.5%

3:2 3.9%

1:0 3.1%

2:0 2.9%

FT market: side line 0.25 · total 2.25 · Bucket ah_ou:0.25/2.0

Score cluster: Low-total exact zone: 1:1 28.0%; 2:1 15.0%; 1:2 12.1%

Half-Time Score Distribution

0:0 61.0%

1:0 19.7%

0:1 9.1%

1:1 4.1%

2:0 2.4%

0:2 1.2%

2:1 0.9%

3:0 0.6%

HT market: side line 0.25 · total 1.00

Vissel Kobe win36.5%

Draw40.7%

FC Tokyo win22.7%

Vissel Kobe expected goals1.65

FC Tokyo expected goals1.39

Under 3.567.8%

FT temperature0.95

Empirical weight78.9%

Sample size299

Europe 1X2home 42.3% / draw 28.8% / away 28.8%

Key Variables

First-goal path Vissel Kobe benefits most from opening the scoring; if HT stays 0:0, the FT distribution compresses toward lower scores.

Deciding factor Draw probability is 40.7%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 67.8%; if the live total moves up materially, rerun the model.

Pre-Match Update · Market Movement

Published 2026-08-25 00:37:59 CST (started/finished about 222h 38m ago) | Snapshot window: pending -> 2026-08-25 00:37:59

First snapshotFT handicap 待补 · total 待补

Latest marketFT handicap 0.25 · total 2.25

Movement: FT handicap data pending; FT total data pending; HT handicap data pending; HT total data pending.

Pre-match note: Market snapshots are thin; refresh Feijing data again before publishing the final pre-match version.

Final Read: 1:1

Predicted side: draw · Actual side: draw · side aligned

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Vissel Kobe vs FC Tokyo is 1:1 (28.0%). Draw carries the highest weight. This match uses a DeepSeek AI sidecar factor. The AI signal only applies a small candidate-score reweighting and does not override the market/history main model by itself. AI note: 两队风格样本薄，攻击指数偏低，节奏倾向保守，主队让球浅，平局概率高，整体中性。 HT first pick is 0:0 (61.0%); HT draw probability is 65.2%, so the model still respects early caution. Exact-score outputs are probability rankings for pre-match research and review.

Risk note: exact scores are low-hit-rate events. The model output is a probability ranking, not a certainty; late market moves, lineups, red cards and early goals can reshape the distribution.

Sources

Feijing · fixtures, results, Asian handicap, totals, half-time markets, Europe 1X2 · Local history database · historical market lines, full-time scores, half-time scores · DeepSeek · AI sidecar context, bounded candidate reweighting only