Statistics / Football / Belarus. 1. Division / FC Slutsk vs Gomel II

FC Slutsk vs Gomel II Statistics & Analysis

FC Slutsk FC Slutsk
Sep 26, 2026 - 12:30
4 1.48
3 1.12
xG Accuracy: 30%
Gomel II Gomel II
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Tracked markets vs full-time result

Each row compares the pre-match model lean to the full-time result.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 FC Slutsk FC Slutsk ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 4-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 21, 2026 · 01:08 UTC Snapshot ID: dp-10085799

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result FC Slutsk win · FC Slutsk 4–3 Gomel II
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: 1. Division
  • Fixture: FC Slutsk vs Gomel II
  • Kickoff: 2026-09-26 12:30:00
  • 1X2 (model): Home 43.9% · Draw 29.1% · Away 27.1%
  • xG (showing): FC Slutsk 1.48 — Gomel II 1.12 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 53.6% · No 46.4%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 53.6% · No 46.4%
  • Correct score (top bin): 1-1 (12.3%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: No Primary Bet

Outcome: Validated — Pre-match lean validated against the full-time result.

Risk Factors Considered Before Kickoff

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Last Updated

September 28, 2026 (UTC)

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Back to Statistics
1. Division 1. Division — Standings
# TEAM MP W D L PTS
1 Niva 26 17 3 6 54
2 FC Slutsk 26 16 6 4 54
3 Lida 26 16 3 7 51
4 FC Energetik-Bgu Minsk 26 15 5 6 50
5 Slonim 26 14 4 8 46
6 Molodechno-DYuSSh 4 25 14 3 8 45
7 Shakhter Soligorsk 26 11 6 9 39
8 Bumprom 25 11 4 10 37
9 Dinamo Minsk II 25 10 5 10 35
10 Ostrovets FC 26 8 10 8 34
11 Volna 26 10 4 12 34
12 Smorgon 26 8 6 12 30
13 Minsk II 26 9 3 14 30
14 Uni Minsk 26 6 8 12 26
15 Orsha 26 7 5 14 26
16 Gomel II 26 5 6 15 21
17 BATE II 26 5 6 15 21
18 Osipovichy 25 5 3 17 18
# TEAM MP GS GC +/- PTS
1 Niva 26 67 31 +36 54
2 FC Energetik-Bgu Minsk 26 53 31 +22 50
3 FC Slutsk 26 52 27 +25 54
4 Shakhter Soligorsk 26 51 43 +8 39
5 Lida 26 49 43 +6 51
6 Slonim 26 48 31 +17 46
7 Bumprom 25 47 37 +10 37
8 Molodechno-DYuSSh 4 25 44 36 +8 45
9 Dinamo Minsk II 25 42 37 +5 35
10 Volna 26 40 48 -8 34
11 Ostrovets FC 26 36 38 -2 34
12 Minsk II 26 36 48 -12 30
13 Gomel II 26 36 52 -16 21
14 BATE II 26 35 60 -25 21
15 Smorgon 26 31 36 -5 30
16 Orsha 26 28 51 -23 26
17 Osipovichy 25 26 62 -36 18
18 Uni Minsk 26 25 35 -10 26
1. Division Belarus. 1. Division Predictions