Norway Eliteserien · Score Research

08-01 01:00 CST · Norway Eliteserien · Separate HT/FT models

Valerenga

Home side / left market direction

Full-time first pick 2:1 Probability 15.9% · High-total score cluster High-total score cluster: 2:1 15.9%; 3:1 9.8%; 4:2 4.4%; 3:2 4.1%; 3:0 3.3%; 4:1 3.1%; 5:1 2.2%; 4:0 1.9% Half-time first pick 0:0 (51.0%)

Ham-Kam

Away side / right market direction

Five-Factor Read

1. Market strength Valerenga side rates higher

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

2. Form and pace 0:0

HT first pick is 0:0 (51.0%); HT draw probability is 57.2%, so the model still respects early caution.

3. AI Sidecar Read FT total 3.25

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: 主队实力占优且主场，但双方节奏偏慢，防线均有漏，总进球中高，注意客队反击。

4. Venue factor non-neutral / normal weather

Venue: 乌勒瓦尔体育场. Non-neutral venue. Weather/temperature: 间中有云, 18℃～19℃. 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 15.9%

1:1 13.0%

3:1 9.8%

1:2 7.8%

2:2 5.0%

2:0 4.9%

1:0 4.8%

4:2 4.4%

FT market: side line 1.00 · total 3.25 · Bucket ah_ou:1.0/3.0

Score cluster: High-total score cluster: 2:1 15.9%; 3:1 9.8%; 4:2 4.4%; 3:2 4.1%; 3:0 3.3%; 4:1 3.1%; 5:1 2.2%; 4:0 1.9%

Half-Time Score Distribution

0:0 51.0%

1:0 23.3%

0:1 9.1%

1:1 5.9%

2:0 5.5%

2:1 1.5%

3:0 1.2%

0:2 0.9%

HT market: side line 0.50 · total 1.25

Valerenga win59.6%

Draw22.2%

Ham-Kam win18.2%

Valerenga expected goals2.25

Ham-Kam expected goals1.32

Under 3.554.5%

FT temperature0.95

Empirical weight55.0%

Sample size144

Europe 1X2home 60.6% / draw 21.1% / away 18.3%

Key Variables

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

Deciding factor Draw probability is 22.2%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 54.5%; if the live total moves up materially, rerun the model.

Pre-Match Update · Market Movement

Published 2026-08-05 01:19:11 CST (started/finished about 96h 20m ago) | Snapshot window: pending -> 2026-08-05 01:19:11

First snapshotFT handicap 待补 · total 待补

Latest marketFT handicap 1 · total 3.25

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: Valerenga win · Actual side: Ham-Kam win · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Valerenga vs Ham-Kam is 2:1 (15.9%). Valerenga 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: 主队实力占优且主场，但双方节奏偏慢，防线均有漏，总进球中高，注意客队反击。 HT first pick is 0:0 (51.0%); HT draw probability is 57.2%, 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