J League · Score Research

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

Avispa Fukuoka

Home side / left market direction

Full-time first pick 1:1 Probability 25.9% · Low-total exact zone Low-total exact zone: 1:1 25.9%; 1:2 13.9%; 2:1 10.9% Half-time first pick 0:0 (60.8%)

Vissel Kobe

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 away side as stronger.

2. Form and pace 0:0

HT first pick is 0:0 (60.8%); HT draw probability is 65.7%, so the model still respects early caution.

3. AI Sidecar Read FT total 2.00

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: 节奏指数低，天气炎热，总进球盘仅2.0，平局概率最高；神户争冠动力强但客场压力受防守制约，福冈主场有偷分机会；阵容信息缺失，轮换风险中等。

4. Venue factor non-neutral / heat

Venue: 倍适得电器球场. Non-neutral venue. Weather/temperature: 多云, 33℃～34℃. The schedule marks this as non-neutral, so home/away identity remains a weak background factor. Higher temperature raises fatigue risk and late-game tempo drop risk. 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 Usable sample

147 comparable matches; useful for probability ranking

Full-Time Score Distribution

1:1 25.9%

1:2 13.9%

2:1 10.9%

2:2 6.3%

0:1 6.0%

0:0 5.8%

1:0 5.1%

1:3 4.8%

FT market: side line -0.25 · total 2.00 · Bucket ah_ou:-0.25/2.0

Score cluster: Low-total exact zone: 1:1 25.9%; 1:2 13.9%; 2:1 10.9%

Half-Time Score Distribution

0:0 60.8%

0:1 16.5%

1:0 12.1%

1:1 4.8%

0:2 2.8%

2:0 1.7%

1:2 0.5%

0:3 0.3%

HT market: side line -0.25 · total 0.75

Avispa Fukuoka win28.1%

Draw38.9%

Vissel Kobe win32.9%

Avispa Fukuoka expected goals1.30

Vissel Kobe expected goals1.39

Under 3.574.6%

FT temperature0.95

Empirical weight64.8%

Sample size147

Europe 1X2home 26.1% / draw 30.8% / away 43.1%

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 38.9%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 74.6%; 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 390h 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

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: Vissel Kobe win · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Avispa Fukuoka vs Vissel Kobe is 1:1 (25.9%). 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: 节奏指数低，天气炎热，总进球盘仅2.0，平局概率最高；神户争冠动力强但客场压力受防守制约，福冈主场有偷分机会；阵容信息缺失，轮换风险中等。 HT first pick is 0:0 (60.8%); HT draw probability is 65.7%, 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