Norway Adeccoligaen · Score Research

08-16 23:00 CST · Norway Adeccoligaen · Separate HT/FT models

Sogndal

Home side / left market direction

Full-time first pick 2:1 Probability 9.7% · Standard score cluster Standard score cluster: 2:1 9.7%; 3:1 8.9%; 1:2 7.9%; 1:1 7.8% Half-time first pick 0:0 (35.2%)

Sandnes Ulf

Away side / right market direction

Five-Factor Read

1. Market strength Sogndal side rates higher

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

2. Form and pace 0:0

HT first pick is 0:0 (35.2%); HT draw probability is 45.4%, so the model still respects early caution.

3. AI Sidecar Read FT total 3.50

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: 主队攻强节奏快，客队防守漏明显，总进球盘3.5偏高。样本少且无外部信息，谨慎给正pace。

4. Venue factor non-neutral / normal weather

Venue: 福斯奥加内校园球场. Non-neutral venue. Weather/temperature: 间中有云, 9℃～10℃. 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 Thin sample

27 comparable matches; manual review needed

Full-Time Score Distribution

2:1 9.7%

3:1 8.9%

1:2 7.9%

1:1 7.8%

2:2 6.3%

3:2 6.3%

2:0 4.7%

1:0 4.4%

FT market: side line 0.50 · total 3.50 · Bucket ah_ou:0.5/3.5

Score cluster: Standard score cluster: 2:1 9.7%; 3:1 8.9%; 1:2 7.9%; 1:1 7.8%

Half-Time Score Distribution

0:0 35.2%

1:0 23.9%

0:1 10.4%

1:1 9.6%

2:0 7.4%

0:2 4.4%

1:2 3.0%

2:1 2.4%

HT market: side line 0.25 · total 1.50

Sogndal win54.2%

Draw18.2%

Sandnes Ulf win27.6%

Sogndal expected goals2.24

Sandnes Ulf expected goals1.56

Under 3.545.7%

FT temperature0.95

Empirical weight25.2%

Sample size27

Europe 1X2home 45.9% / draw 22.7% / away 31.4%

Key Variables

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

Deciding factor Draw probability is 18.2%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 45.7%; if the live total moves up materially, rerun the model.

Pre-Match Update · Market Movement

Published 2026-08-25 00:38:06 CST (started/finished about 193h 39m ago) | Snapshot window: pending -> 2026-08-25 00:38:06

First snapshotFT handicap 待补 · total 待补

Latest marketFT handicap 0.5 · total 3.5

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: Sogndal win · Actual side: Sogndal win · side aligned

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Sogndal vs Sandnes Ulf is 2:1 (9.7%). Sogndal 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: 主队攻强节奏快，客队防守漏明显，总进球盘3.5偏高。样本少且无外部信息，谨慎给正pace。 HT first pick is 0:0 (35.2%); HT draw probability is 45.4%, 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