J League · Score Research

08-22 18:00 CST · J League · Separate HT/FT models

Kyoto Sanga

Home side / left market direction

Full-time first pick 1:1 Probability 29.4% · Low-total exact zone Low-total exact zone: 1:1 29.4%; 2:1 14.9%; 1:2 12.0% Half-time first pick 0:0 (63.6%)

Mito Hollyhock

Away side / right market direction

Five-Factor Read

1. Market strength Draw carries the highest weight

The handicap leans toward Kyoto Sanga; the market prices the home side as stronger.

2. Form and pace 0:0

HT first pick is 0:0 (63.6%); HT draw probability is 67.0%, 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: 排名相近，市场平局概率高；高温影响节奏，两队攻击力均弱但主队防守漏洞多，客队偷分概率上升；阵容信息缺失，综合看偏向小球平和。

4. Venue factor non-neutral / heat

Venue: 京瓷球场. Non-neutral venue. Weather/temperature: 天晴, 35℃～36℃. 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 Strong sample

299 comparable matches; market bucket support is solid

Full-Time Score Distribution

1:1 29.4%

2:1 14.9%

1:2 12.0%

2:2 9.0%

3:1 6.3%

3:2 3.7%

1:0 3.2%

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 29.4%; 2:1 14.9%; 1:2 12.0%

Half-Time Score Distribution

0:0 63.6%

1:0 15.4%

0:1 12.7%

1:1 3.3%

2:0 1.9%

0:2 1.5%

2:1 0.5%

1:2 0.5%

HT market: side line 0.00 · total 0.75

Kyoto Sanga win35.9%

Draw41.8%

Mito Hollyhock win22.4%

Kyoto Sanga expected goals1.62

Mito Hollyhock expected goals1.36

Under 3.569.3%

FT temperature0.95

Empirical weight78.9%

Sample size299

Europe 1X2home 43.2% / draw 26.9% / away 29.9%

Key Variables

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

Deciding factor Draw probability is 41.8%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 69.3%; 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 54h 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: Mito Hollyhock win · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Kyoto Sanga vs Mito Hollyhock is 1:1 (29.4%). 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: 排名相近，市场平局概率高；高温影响节奏，两队攻击力均弱但主队防守漏洞多，客队偷分概率上升；阵容信息缺失，综合看偏向小球平和。 HT first pick is 0:0 (63.6%); HT draw probability is 67.0%, 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