J League · Score Research

08-15 17:55 CST · J League · Separate HT/FT models

Fagiano Okayama

Home side / left market direction

Full-time first pick 2:1 Probability 15.5% · Low-total exact zone Low-total exact zone: 2:1 15.5%; 3:1 9.3%; 1:0 7.2% Half-time first pick 0:0 (60.9%)

V-

V-Varen Nagasaki

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 (60.9%); HT draw probability is 65.1%, 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: 主队让半一但进攻指数偏低，天气炎热可能抑制节奏，模型高看主胜但进球数有限；客队排名靠前有抢分能力，关注主队小胜及1-2球比分。

4. Venue factor non-neutral / heat

Venue: 冈山县陆上竞技场. Non-neutral venue. Weather/temperature: 大致天晴, 32℃～33℃. 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

102 comparable matches; useful for probability ranking

Full-Time Score Distribution

2:1 15.5%

3:1 9.3%

1:0 7.2%

2:0 6.1%

4:1 3.6%

3:0 3.0%

3:2 3.0%

4:0 1.1%

FT market: side line 0.75 · total 2.25 · Bucket ah_ou:0.75/2.0

Score cluster: Low-total exact zone: 2:1 15.5%; 3:1 9.3%; 1:0 7.2%

Half-Time Score Distribution

0:0 60.9%

1:0 19.9%

0:1 8.9%

1:1 4.1%

2:0 2.5%

0:2 1.2%

2:1 0.9%

3:0 0.6%

HT market: side line 0.25 · total 1.00

Fagiano Okayama win52.2%

Draw34.6%

V-Varen Nagasaki win13.3%

Fagiano Okayama expected goals1.79

V-Varen Nagasaki expected goals1.06

Under 3.570.1%

FT temperature0.95

Empirical weight56.0%

Sample size102

Europe 1X2home 54.8% / draw 25.0% / away 20.2%

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 34.6%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 70.1%; 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 43m ago) | Snapshot window: pending -> 2026-08-25 00:37:59

First snapshotFT handicap 待补 · total 待补

Latest marketFT handicap 0.75 · 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: 2:1

Predicted side: Fagiano Okayama win · Actual side: Fagiano Okayama win · side aligned

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Fagiano Okayama vs V-Varen Nagasaki is 2:1 (15.5%). 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: 主队让半一但进攻指数偏低，天气炎热可能抑制节奏，模型高看主胜但进球数有限；客队排名靠前有抢分能力，关注主队小胜及1-2球比分。 HT first pick is 0:0 (60.9%); HT draw probability is 65.1%, 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