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Iceland Premier Division · Score Research

07-19 00:00 CST · Iceland Premier Division · Separate HT/FT models

Th

Thor Akureyri

Home side / left market direction

Full-time first pick 1:3 Probability 12.3% · High-total score cluster High-total score cluster: 1:3 12.3%; 1:2 8.3%; 1:4 5.8%; 1:5 5.2%; 2:3 4.5%; 0:3 4.1%; 2:4 4.0%; 0:4 3.0% Half-time first pick 0:1 (23.4%)
Vi

Vikingur Reykjavik

Away side / right market direction

Five-Factor Read

1. Market strength Vikingur Reykjavik side rates higher

The handicap leans toward Vikingur Reykjavik; the market prices the away side as stronger.

2. Form and pace 0:1

HT first pick is 0:1 (23.4%); HT draw probability is 33.8%, so the model still respects early caution.

3. AI Sidecar Read FT total 4.00

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: 维京古尔攻击力强，主队防守差，客队争冠动力足，大小球盘口深，看好客队大胜，但低温可能影响节奏，主队或偷一球。

4. Venue factor Non-neutral venue

Venue: venue pending. Non-neutral venue. Weather/temperature: 阴天, 11℃～12℃. 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

109 comparable matches; useful for probability ranking

Full-Time Score Distribution

1:3 12.3%
1:2 8.3%
1:1 8.2%
2:2 6.7%
1:4 5.8%
1:5 5.2%
2:1 5.1%
2:3 4.5%
FT market: side line -1.75 · total 4.00 · Bucket side_ou:away_favored/4.0
Score cluster: High-total score cluster: 1:3 12.3%; 1:2 8.3%; 1:4 5.8%; 1:5 5.2%; 2:3 4.5%; 0:3 4.1%; 2:4 4.0%; 0:4 3.0%

Half-Time Score Distribution

0:1 23.4%
0:0 24.3%
0:2 13.7%
1:0 11.3%
1:1 8.0%
0:3 5.4%
1:2 4.3%
1:3 2.1%
HT market: side line -0.75 · total 1.75
Thor Akureyri win15.6%
Draw17.4%
Vikingur Reykjavik win67.0%
Thor Akureyri expected goals1.40
Vikingur Reykjavik expected goals2.86
Under 3.535.3%
FT temperature0.95
Empirical weight45.0%
Sample size109
Europe 1X2home 13.0% / draw 15.6% / away 71.4%

Key Variables

First-goal path Vikingur Reykjavik benefits most from opening the scoring; if HT stays 0:1, the FT distribution compresses toward lower scores.
Deciding factor Draw probability is 17.4%, so the exact-score set should keep draw and one-goal-margin scripts alive.
Risk point Under 3.5 is 35.3%; if the live total moves up materially, rerun the model.

Pre-Match Update · Market Movement

Published 2026-08-05 01:19:06 CST (started/finished about 409h 20m ago) | Snapshot window: pending -> 2026-08-05 01:19:06

First snapshotFT handicap 待补 · total 待补
Latest marketFT handicap -1.75 · total 4

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: 1:3

Predicted side: Vikingur Reykjavik win · Actual side: Thor Akureyri win · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Thor Akureyri vs Vikingur Reykjavik is 1:3 (12.3%). Vikingur Reykjavik 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: 维京古尔攻击力强，主队防守差，客队争冠动力足，大小球盘口深，看好客队大胜，但低温可能影响节奏，主队或偷一球。 HT first pick is 0:1 (23.4%); HT draw probability is 33.8%, 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