J League · Score Research

08-07 18:25 CST · J League · Separate HT/FT models

Yokohama Marinos

Home side / left market direction

Full-time first pick 1:1 Probability 25.6% · Low-total exact zone Low-total exact zone: 1:1 25.6%; 1:2 14.3%; 2:1 11.4% Half-time first pick 0:0 (60.8%)

Kashima Antlers

Away side / right market direction

Five-Factor Read

1. Market strength Draw carries the highest weight

The handicap leans toward Kashima Antlers; 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 2.25

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: 高温天气降低节奏，双方攻击指数为负，市场倾向平局，首推1:1；客队受让但进攻略强，存在偷球可能，阵容信息缺失增加不确定性。

4. Venue factor neutral / heat

Venue: 东京国立竞技场. Neutral venue. Weather/temperature: 天晴, 33℃～34℃. Neither side has a clear host-country edge, so the venue read mainly removes normal home advantage and pushes the decision back to market, lineup and tournament context. 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 25.6%

1:2 14.3%

2:1 11.4%

2:2 6.5%

0:1 5.2%

1:3 5.1%

3:1 4.7%

1:0 4.6%

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

Score cluster: Low-total exact zone: 1:1 25.6%; 1:2 14.3%; 2:1 11.4%

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

Yokohama Marinos win29.1%

Draw37.5%

Kashima Antlers win33.4%

Yokohama Marinos expected goals1.36

Kashima Antlers expected goals1.43

Under 3.572.8%

FT temperature0.95

Empirical weight64.8%

Sample size147

Europe 1X2home 28.4% / draw 29.3% / away 42.3%

Key Variables

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

Deciding factor Draw probability is 37.5%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 72.8%; 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 414h 13m 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: Kashima Antlers win · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Yokohama Marinos vs Kashima Antlers is 1:1 (25.6%). 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: 高温天气降低节奏，双方攻击指数为负，市场倾向平局，首推1:1；客队受让但进攻略强，存在偷球可能，阵容信息缺失增加不确定性。 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