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07-15 01:00 CST · UEFA Champions League · Separate HT/FT models

Gy

Gyori ETO

Home side / left market direction

Full-time first pick 2:1 Probability 16.9% · High-total score cluster High-total score cluster: 2:1 16.9%; 3:1 10.1%; 4:2 4.7%; 3:2 4.0%; 4:1 2.8%; 3:0 2.7%; 5:1 2.2%; 5:2 1.7% Half-time first pick 0:0 (51.3%)
Vi

Vikingur Reykjavik

Away side / right market direction

Five-Factor Read

1. Market strength Gyori ETO side rates higher

The handicap leans toward Gyori ETO; the market prices the home side as stronger.

2. Form and pace 0:0

HT first pick is 0:0 (51.3%); HT draw probability is 57.4%, so the model still respects early caution.

3. AI Sidecar Read FT total 3.00

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: 客队攻击强但防守好，主队数据缺失，阵容风险中，总球数偏大，客队可能偷球。

4. Venue factor non-neutral / normal weather

Venue: ETO公园体育场. Non-neutral venue. Weather/temperature: 多云, 24℃～25℃. The schedule marks this as non-neutral, so home/away identity remains a weak background factor. Weather and temperature do not show a clear tempo-suppression signal. Together with the totals line, the venue layer can support a more open upper tail.

5. Sample and soft factors Usable sample

144 comparable matches; useful for probability ranking

Full-Time Score Distribution

2:1 16.9%
1:1 13.9%
3:1 10.1%
1:2 8.3%
2:2 4.8%
4:2 4.7%
1:0 4.4%
2:0 4.2%
FT market: side line 1.00 · total 3.00 · Bucket ah_ou:1.0/3.0
Score cluster: High-total score cluster: 2:1 16.9%; 3:1 10.1%; 4:2 4.7%; 3:2 4.0%; 4:1 2.8%; 3:0 2.7%; 5:1 2.2%; 5:2 1.7%

Half-Time Score Distribution

0:0 51.3%
1:0 23.3%
0:1 9.2%
1:1 5.8%
2:0 5.4%
2:1 1.4%
3:0 1.1%
0:2 0.9%
HT market: side line 0.50 · total 1.25
Gyori ETO win58.3%
Draw23.0%
Vikingur Reykjavik win18.8%
Gyori ETO expected goals2.22
Vikingur Reykjavik expected goals1.36
Under 3.554.7%
FT temperature0.95
Empirical weight64.3%
Sample size144
Europe 1X2home 58.4% / draw 21.5% / away 20.1%

Key Variables

First-goal path Gyori ETO benefits most from opening the scoring; if HT stays 0:0, the FT distribution compresses toward lower scores.
Deciding factor Draw probability is 23.0%, so the exact-score set should keep draw and one-goal-margin scripts alive.
Risk point Under 3.5 is 54.7%; if the live total moves up materially, rerun the model.

Pre-Match Update · Market Movement

Published 2026-08-05 01:18:55 CST (started/finished about 504h 19m ago) | Snapshot window: pending -> 2026-08-05 01:18:55

First snapshotFT handicap 待补 · total 待补
Latest marketFT handicap 1 · total 3

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: Gyori ETO 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 Gyori ETO vs Vikingur Reykjavik is 2:1 (16.9%). Gyori ETO 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: 客队攻击强但防守好，主队数据缺失，阵容风险中，总球数偏大，客队可能偷球。 HT first pick is 0:0 (51.3%); HT draw probability is 57.4%, 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