Norway Eliteserien · Score Research

07-26 23:00 CST · Norway Eliteserien · Separate HT/FT models

KFUM Oslo

Home side / left market direction

Full-time first pick 1:1 Probability 15.1% · Standard score cluster Standard score cluster: 1:1 15.1%; 1:2 14.1%; 2:1 12.8%; 2:2 8.8% Half-time first pick 0:0 (61.2%)

Molde

Away side / right market direction

Five-Factor Read

1. Market strength KFUM Oslo side rates higher

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

2. Form and pace 0:0

HT first pick is 0:0 (61.2%); HT draw probability is 65.3%, so the model still respects early caution.

3. AI Sidecar Read FT total 2.75

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: 两队攻防指数均为负、节奏慢，客队实力略优但客场，数据稀疏，阵容不明，总进球倾向保守，客队小胜或平局概率较高。

4. Venue factor Non-neutral venue

Venue: venue pending. Non-neutral venue. Weather/temperature: 天晴, 20℃～21℃. 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

178 comparable matches; useful for probability ranking

Full-Time Score Distribution

1:1 15.1%

1:2 14.1%

2:1 12.8%

2:2 8.8%

3:1 6.4%

1:3 5.0%

3:2 4.1%

0:1 3.8%

FT market: side line -0.25 · total 2.75 · Bucket ah_ou:-0.25/3.0

Score cluster: Standard score cluster: 1:1 15.1%; 1:2 14.1%; 2:1 12.8%; 2:2 8.8%

Half-Time Score Distribution

0:0 61.2%

1:0 15.2%

0:1 13.3%

1:1 3.9%

2:0 2.0%

0:2 1.9%

2:1 0.7%

1:2 0.7%

HT market: side line 0.00 · total 1.25

KFUM Oslo win36.8%

Draw28.2%

Molde win35.0%

KFUM Oslo expected goals1.71

Molde expected goals1.67

Under 3.558.6%

FT temperature0.95

Empirical weight69.0%

Sample size178

Europe 1X2home 31.1% / draw 25.7% / away 43.2%

Key Variables

First-goal path KFUM Oslo 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 58.6%; 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 218h 20m ago) | Snapshot window: pending -> 2026-08-05 01:19:11

First snapshotFT handicap 待补 · total 待补

Latest marketFT handicap -0.25 · total 2.75

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: KFUM Oslo win · Actual side: Molde win · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for KFUM Oslo vs Molde is 1:1 (15.1%). KFUM Oslo 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: 两队攻防指数均为负、节奏慢，客队实力略优但客场，数据稀疏，阵容不明，总进球倾向保守，客队小胜或平局概率较高。 HT first pick is 0:0 (61.2%); HT draw probability is 65.3%, 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