Norway Eliteserien · Score Research

08-09 23:00 CST · Norway Eliteserien · Separate HT/FT models

Ham-Kam

Home side / left market direction

Full-time first pick 1:1 Probability 17.6% · Standard score cluster Standard score cluster: 1:1 17.6%; 2:1 13.9%; 2:2 9.6%; 1:2 9.4% Half-time first pick 0:0 (59.3%)

Aalesund FK

Away side / right market direction

Five-Factor Read

1. Market strength Ham-Kam side rates higher

The handicap leans toward Ham-Kam; the market prices the home side as stronger.

2. Form and pace 0:0

HT first pick is 0:0 (59.3%); HT draw probability is 64.0%, 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: 主队稍强但攻击力弱，客队防守尚可，节奏偏慢；模型主胜概率高，但大胜可能小，倾向小比分主胜。

4. Venue factor Non-neutral venue

Venue: venue pending. Non-neutral venue. Weather/temperature: 多云, 16℃～17℃. 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 Strong sample

259 comparable matches; market bucket support is solid

Full-Time Score Distribution

1:1 17.6%

2:1 13.9%

2:2 9.6%

1:2 9.4%

3:1 8.9%

3:2 5.5%

2:3 5.1%

4:1 3.3%

FT market: side line 0.25 · total 3.00 · Bucket ah_ou:0.25/3.0

Score cluster: Standard score cluster: 1:1 17.6%; 2:1 13.9%; 2:2 9.6%; 1:2 9.4%

Half-Time Score Distribution

0:0 59.3%

1:0 19.7%

0:1 9.3%

1:1 4.6%

2:0 2.6%

0:2 1.4%

2:1 1.1%

3:0 0.7%

HT market: side line 0.25 · total 1.25

Ham-Kam win44.3%

Draw30.2%

Aalesund FK win25.5%

Ham-Kam expected goals2.01

Aalesund FK expected goals1.60

Under 3.550.9%

FT temperature0.95

Empirical weight76.4%

Sample size259

Europe 1X2home 44.8% / draw 24.6% / away 30.6%

Key Variables

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

Deciding factor Draw probability is 30.2%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 50.9%; 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 361h 39m ago) | Snapshot window: pending -> 2026-08-25 00:38:10

First snapshotFT handicap 待补 · total 待补

Latest marketFT handicap 0.25 · 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: Ham-Kam 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 Ham-Kam vs Aalesund FK is 1:1 (17.6%). Ham-Kam 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: 主队稍强但攻击力弱，客队防守尚可，节奏偏慢；模型主胜概率高，但大胜可能小，倾向小比分主胜。 HT first pick is 0:0 (59.3%); HT draw probability is 64.0%, 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