Norway Eliteserien · Score Research

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

Brann

Home side / left market direction

Full-time first pick 2:1 Probability 16.2% · High-total score cluster High-total score cluster: 2:1 16.2%; 3:1 10.5%; 4:2 5.2%; 3:2 4.0%; 3:0 3.1%; 4:1 3.0%; 5:1 2.5%; 5:2 2.0% Half-time first pick 0:0 (51.2%)

Ham-Kam

Away side / right market direction

Five-Factor Read

1. Market strength Brann side rates higher

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

2. Form and pace 0:0

HT first pick is 0:0 (51.2%); HT draw probability is 57.3%, 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: 主队压制强，客队防守漏但节奏慢，上半场可能僵持，下半场主队扩大优势；客队进攻乏力，偷分概率低。

4. Venue factor non-neutral / normal weather

Venue: 布兰体育场. Non-neutral venue. Weather/temperature: 间中有云, 22℃～23℃. 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 16.2%

1:1 12.8%

3:1 10.5%

1:2 7.8%

4:2 5.2%

2:2 4.7%

2:0 4.5%

1:0 4.5%

FT market: side line 1.00 · total 3.00 · Bucket ah_ou:1.0/3.0

Score cluster: High-total score cluster: 2:1 16.2%; 3:1 10.5%; 4:2 5.2%; 3:2 4.0%; 3:0 3.1%; 4:1 3.0%; 5:1 2.5%; 5:2 2.0%

Half-Time Score Distribution

0:0 51.2%

1:0 23.3%

0:1 9.2%

1:1 5.8%

2:0 5.5%

2:1 1.4%

3:0 1.2%

0:2 0.9%

HT market: side line 0.50 · total 1.25

Brann win61.0%

Draw21.7%

Ham-Kam win17.3%

Brann expected goals2.31

Ham-Kam expected goals1.33

Under 3.552.9%

FT temperature0.95

Empirical weight64.3%

Sample size144

Europe 1X2home 60.4% / draw 21.3% / away 18.2%

Key Variables

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

Deciding factor Draw probability is 21.7%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 52.9%; if the live total moves up materially, rerun the model.

Pre-Match Update · Market Movement

Published 2026-08-25 00:38:10 CST (started/finished about 193h 39m ago) | Snapshot window: pending -> 2026-08-25 00:38:10

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: Brann win · Actual side: Brann win · side aligned

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Brann vs Ham-Kam is 2:1 (16.2%). Brann 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: 主队压制强，客队防守漏但节奏慢，上半场可能僵持，下半场主队扩大优势；客队进攻乏力，偷分概率低。 HT first pick is 0:0 (51.2%); HT draw probability is 57.3%, 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