J League · Score Research

08-22 17:30 CST · J League · Separate HT/FT models

Fagiano Okayama

Home side / left market direction

Full-time first pick 1:1 Probability 24.7% · Low-total exact zone Low-total exact zone: 1:1 24.7%; 2:1 17.8%; 1:2 8.7% Half-time first pick 0:0 (62.1%)

Tokyo Verdy

Away side / right market direction

Five-Factor Read

1. Market strength Fagiano Okayama side rates higher

The handicap leans toward Fagiano Okayama; the market prices the home side as stronger.

2. Form and pace 0:0

HT first pick is 0:0 (62.1%); HT draw probability is 66.0%, 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: 模型显示主队让0.5且最佳比分1:1，双方节奏偏慢，高温可能拖慢比赛，倾向防守小比分或平局。

4. Venue factor non-neutral / heat

Venue: 冈山县陆上竞技场. 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

201 comparable matches; useful for probability ranking

Full-Time Score Distribution

1:1 24.7%

2:1 17.8%

1:2 8.7%

2:2 6.1%

3:1 5.7%

1:0 5.5%

3:2 4.2%

0:0 4.2%

FT market: side line 0.50 · total 2.00 · Bucket ah_ou:0.5/2.0

Score cluster: Low-total exact zone: 1:1 24.7%; 2:1 17.8%; 1:2 8.7%

Half-Time Score Distribution

0:0 62.1%

1:0 19.8%

0:1 8.7%

1:1 3.8%

2:0 2.3%

0:2 1.1%

2:1 0.8%

3:0 0.6%

HT market: side line 0.25 · total 0.75

Fagiano Okayama win44.9%

Draw35.7%

Tokyo Verdy win19.3%

Fagiano Okayama expected goals1.68

Tokyo Verdy expected goals1.23

Under 3.570.8%

FT temperature0.95

Empirical weight71.5%

Sample size201

Europe 1X2home 53.3% / draw 28.8% / away 17.9%

Key Variables

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

Deciding factor Draw probability is 35.7%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 70.8%; 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 55h 8m ago) | Snapshot window: pending -> 2026-08-25 00:37:59

First snapshotFT handicap 待补 · total 待补

Latest marketFT handicap 0.5 · 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: Fagiano Okayama win · Actual side: draw · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Fagiano Okayama vs Tokyo Verdy is 1:1 (24.7%). Fagiano Okayama side rates higher. 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: 模型显示主队让0.5且最佳比分1:1，双方节奏偏慢，高温可能拖慢比赛，倾向防守小比分或平局。 HT first pick is 0:0 (62.1%); HT draw probability is 66.0%, 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