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Finnish Veikkausliiga · Score Research

08-16 00:00 CST · Finnish Veikkausliiga · Separate HT/FT models

IF

IFK Mariehamn

Home side / left market direction

Full-time first pick 1:2 Probability 14.6% · High-total score cluster High-total score cluster: 1:2 14.6%; 1:3 9.4%; 1:4 6.0%; 2:3 4.8%; 0:3 3.1%; 2:4 2.6%; 0:4 1.6%; 1:5 1.2% Half-time first pick 0:0 (44.1%)
SJ

SJK Seinajoen

Away side / right market direction

Five-Factor Read

1. Market strength SJK Seinajoen side rates higher

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

2. Form and pace 0:0

HT first pick is 0:0 (44.1%); HT draw probability is 52.4%, 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: 客队实力占优让1球，主队主场防守尚可但攻击疲弱，微雨可能降低节奏，市场看好客胜小胜。整体偏向强队尾段进球。

4. Venue factor non-neutral / weather risk

Venue: 维尔克洛夫竞技球场. Non-neutral venue. Weather/temperature: 微雨, 16℃～17℃. 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

73 comparable matches; useful for probability ranking

Full-Time Score Distribution

1:2 14.6%
1:1 13.1%
1:3 9.4%
2:2 7.1%
2:1 6.8%
1:4 6.0%
0:1 5.5%
2:3 4.8%
FT market: side line -1.00 · total 3.25 · Bucket ah_ou:-1.0/3.0
Score cluster: High-total score cluster: 1:2 14.6%; 1:3 9.4%; 1:4 6.0%; 2:3 4.8%; 0:3 3.1%; 2:4 2.6%; 0:4 1.6%; 1:5 1.2%

Half-Time Score Distribution

0:0 44.1%
0:1 23.5%
1:0 10.4%
1:1 8.0%
0:2 7.4%
1:2 1.9%
0:3 1.3%
2:0 1.2%
HT market: side line -0.50 · total 1.25
IFK Mariehamn win20.0%
Draw23.7%
SJK Seinajoen win56.2%
IFK Mariehamn expected goals1.35
SJK Seinajoen expected goals2.12
Under 3.554.0%
FT temperature0.95
Empirical weight47.7%
Sample size73
Europe 1X2home 19.1% / draw 20.8% / away 60.1%

Key Variables

First-goal path SJK Seinajoen benefits most from opening the scoring; if HT stays 0:0, the FT distribution compresses toward lower scores.
Deciding factor Draw probability is 23.7%, so the exact-score set should keep draw and one-goal-margin scripts alive.
Risk point Under 3.5 is 54.0%; if the live total moves up materially, rerun the model.

Pre-Match Update · Market Movement

Published 2026-08-25 00:37:51 CST (started/finished about 216h 38m ago) | Snapshot window: pending -> 2026-08-25 00:37:51

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: 1:2

Predicted side: SJK Seinajoen win · Actual side: IFK Mariehamn win · side missed

Using the full-time handicap, totals, comparable market buckets and half-time market, the model's full-time first pick for IFK Mariehamn vs SJK Seinajoen is 1:2 (14.6%). SJK Seinajoen 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: 客队实力占优让1球，主队主场防守尚可但攻击疲弱，微雨可能降低节奏，市场看好客胜小胜。整体偏向强队尾段进球。 HT first pick is 0:0 (44.1%); HT draw probability is 52.4%, 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