Norway Adeccoligaen · Score Research

08-22 22:00 CST · Norway Adeccoligaen · Separate HT/FT models

Sandnes Ulf

Home side / left market direction

Full-time first pick 1:1 Probability 16.5% · Standard score cluster Standard score cluster: 1:1 16.5%; 1:2 14.1%; 2:1 12.4%; 1:3 7.4% Half-time first pick 0:0 (56.8%)

Bryne

Away side / right market direction

Five-Factor Read

1. Market strength Bryne side rates higher

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

2. Form and pace 0:0

HT first pick is 0:0 (56.8%); HT draw probability is 62.9%, 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: 模型节奏偏慢但盘口高开，主队让球与排名/概率矛盾，样本薄且缺关键信息，风险较高。

4. Venue factor non-neutral / normal weather

Venue: 桑内斯体育场. Non-neutral venue. Weather/temperature: 间中有云, 15℃～16℃. 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

121 comparable matches; useful for probability ranking

Full-Time Score Distribution

1:1 16.5%

1:2 14.1%

2:1 12.4%

1:3 7.4%

2:2 6.9%

2:3 4.7%

0:1 4.3%

3:1 4.0%

FT market: side line -0.50 · total 3.00 · Bucket ah_ou:-0.5/3.0

Score cluster: Standard score cluster: 1:1 16.5%; 1:2 14.1%; 2:1 12.4%; 1:3 7.4%

Half-Time Score Distribution

0:0 56.8%

0:1 16.7%

1:0 12.7%

1:1 5.9%

0:2 3.4%

2:0 2.1%

1:2 0.9%

2:1 0.5%

HT market: side line -0.25 · total 1.25

Sandnes Ulf win29.6%

Draw28.2%

Bryne win42.2%

Sandnes Ulf expected goals1.53

Bryne expected goals1.79

Under 3.560.3%

FT temperature0.95

Empirical weight60.2%

Sample size121

Europe 1X2home 28.0% / draw 24.6% / away 47.4%

Key Variables

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

Deciding factor Draw probability is 28.2%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 60.3%; 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 50h 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

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: Bryne win · Actual side: Bryne win · side aligned

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Sandnes Ulf vs Bryne is 1:1 (16.5%). Bryne 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: 模型节奏偏慢但盘口高开，主队让球与排名/概率矛盾，样本薄且缺关键信息，风险较高。 HT first pick is 0:0 (56.8%); HT draw probability is 62.9%, 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