Norway Eliteserien · Score Research

07-26 20:30 CST · Norway Eliteserien · Separate HT/FT models

Brann

Home side / left market direction

Full-time first pick 2:1 Probability 14.4% · Standard score cluster Standard score cluster: 2:1 14.4%; 1:1 14.2%; 3:1 10.6%; 2:2 8.0% Half-time first pick 0:0 (59.1%)

Valerenga

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 (59.1%); HT draw probability is 63.8%, 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: 布兰主场让0.75，市场看好主胜但节奏指数偏慢，客队防守漏球率高，有望进球。

4. Venue factor non-neutral / weather risk

Venue: 布兰体育场. Non-neutral venue. Weather/temperature: 微雨, 20℃～21℃. The schedule marks this as non-neutral, so home/away identity remains a weak background factor. Weather creates a disruption signal, so high-tempo attacking chains and blowout tails are treated more carefully. The totals line is high, but the weather-risk signal keeps unconditional open-game assumptions under review.

5. Sample and soft factors Usable sample

199 comparable matches; useful for probability ranking

Full-Time Score Distribution

2:1 14.4%

1:1 14.2%

3:1 10.6%

2:2 8.0%

1:2 7.0%

3:2 4.8%

2:0 4.3%

1:0 3.8%

FT market: side line 0.75 · total 3.25 · Bucket ah_ou:0.75/3.0

Score cluster: Standard score cluster: 2:1 14.4%; 1:1 14.2%; 3:1 10.6%; 2:2 8.0%

Half-Time Score Distribution

0:0 59.1%

1:0 19.9%

0:1 9.1%

1:1 4.6%

2:0 2.8%

0:2 1.3%

2:1 1.1%

3:0 0.7%

HT market: side line 0.25 · total 1.25

Brann win55.9%

Draw25.9%

Valerenga win18.3%

Brann expected goals2.22

Valerenga expected goals1.36

Under 3.551.8%

FT temperature0.95

Empirical weight55.0%

Sample size199

Europe 1X2home 56.7% / draw 20.9% / away 22.4%

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 25.9%, so the exact-score set should keep draw and one-goal-margin scripts alive.

Risk point Under 3.5 is 51.8%; 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 220h 50m ago) | Snapshot window: pending -> 2026-08-05 01:19:11

First snapshotFT handicap 待补 · total 待补

Latest marketFT handicap 0.75 · 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: Brann win · Actual side: Valerenga win · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for Brann vs Valerenga is 2:1 (14.4%). 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: 布兰主场让0.75，市场看好主胜但节奏指数偏慢，客队防守漏球率高，有望进球。 HT first pick is 0:0 (59.1%); HT draw probability is 63.8%, 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