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Iceland Premier Division · Score Research

08-02 22:00 CST · Iceland Premier Division · Separate HT/FT models

IA

IA Akranes

Home side / left market direction

Full-time first pick 1:3 Probability 11.4% · High-total score cluster High-total score cluster: 1:3 11.4%; 1:2 8.8%; 2:3 4.7%; 1:4 4.6%; 1:5 4.1%; 2:4 3.7%; 0:3 3.1%; 2:5 1.7% Half-time first pick 0:0 (38.2%)
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 0:0

HT first pick is 0:0 (38.2%); HT draw probability is 48.4%, so the model still respects early caution.

3. AI Sidecar Read FT total 3.75

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: 客队维京古尔攻强守稳，让一球优势明确；主队攻击疲软且节奏慢，大球盘仅因客队火力。天气良好，无重大伤停信息，模型偏客胜且多进球。

4. Venue factor Non-neutral venue

Venue: venue pending. Non-neutral venue. Weather/temperature: 天晴, 12℃～13℃. 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 11.4%
1:1 9.5%
1:2 8.8%
2:2 7.6%
2:1 6.6%
2:3 4.7%
1:4 4.6%
1:5 4.1%
FT market: side line -1.00 · total 3.75 · Bucket side_ou:away_favored/4.0
Score cluster: High-total score cluster: 1:3 11.4%; 1:2 8.8%; 2:3 4.7%; 1:4 4.6%; 1:5 4.1%; 2:4 3.7%; 0:3 3.1%; 2:5 1.7%

Half-Time Score Distribution

0:0 38.2%
0:1 21.7%
1:0 11.1%
1:1 9.7%
0:2 8.6%
1:2 2.7%
0:3 2.4%
2:0 1.9%
HT market: side line -0.50 · total 1.50
IA Akranes win21.1%
Draw20.4%
Vikingur Reykjavik win58.5%
IA Akranes expected goals1.53
Vikingur Reykjavik expected goals2.53
Under 3.539.7%
FT temperature0.95
Empirical weight45.0%
Sample size109
Europe 1X2home 21.9% / draw 19.5% / away 58.6%

Key Variables

First-goal path Vikingur Reykjavik benefits most from opening the scoring; if HT stays 0:0, the FT distribution compresses toward lower scores.
Deciding factor Draw probability is 20.4%, so the exact-score set should keep draw and one-goal-margin scripts alive.
Risk point Under 3.5 is 39.7%; 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 51h 20m ago) | Snapshot window: pending -> 2026-08-05 01:19:06

First snapshotFT handicap 待补 · total 待补
Latest marketFT handicap -1 · total 3.75

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: draw · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for IA Akranes vs Vikingur Reykjavik is 1:3 (11.4%). 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: 客队维京古尔攻强守稳，让一球优势明确；主队攻击疲软且节奏慢，大球盘仅因客队火力。天气良好，无重大伤停信息，模型偏客胜且多进球。 HT first pick is 0:0 (38.2%); HT draw probability is 48.4%, 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