Statistics / Football / Lithuania. A Lyga / FK Zalgiris Vilnius vs Suduva Marijampole

FK Zalgiris Vilnius vs Suduva Marijampole Statistics & Analysis

FK Zalgiris Vilnius FK Zalgiris Vilnius
Oct 10, 2026 - 11:15
4 1.41
0 1.19
xG Accuracy: 35%
Suduva Marijampole Suduva Marijampole
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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 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 FK Zalgiris Vilnius FK Zalgiris Vilnius ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 0-0 4-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Oct 05, 2026 · 01:13 UTC Snapshot ID: dp-13191648

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result FK Zalgiris Vilnius win · FK Zalgiris Vilnius 4–0 Suduva Marijampole
Prediction ✔ Correct
Decision Grade F

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: A Lyga
  • Fixture: FK Zalgiris Vilnius vs Suduva Marijampole
  • Kickoff: 2026-10-10 11:15:00
  • 1X2 (model): Home 40.5% · Draw 29.4% · Away 30.1%
  • xG (showing): FK Zalgiris Vilnius 1.41 — Suduva Marijampole 1.19 (total xG ≈ 2.6)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 51.8% · Implied: 48.6% · Probability edge: +3.2 pts · Est. EV: +6.2%
  • BTTS (model): Yes 54.2% · No 45.8%
  • Correct score (top bin): 1-1 (12.5%)

Totals and BTTS are evaluated against current market prices where available.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: Selective Lean - 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

October 11, 2026 (UTC)

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Back to Statistics
A Lyga A Lyga — Standings
# TEAM MP W D L PTS
1 Kauno Žalgiris 28 14 9 5 51
2 Suduva Marijampole 28 13 11 4 50
3 TransINVEST Vilnius 28 13 6 9 45
4 FK Zalgiris Vilnius 28 13 5 10 44
5 Banga 28 11 8 9 41
6 Džiugas Telšiai 28 10 8 10 38
7 Panevėžys 28 9 5 14 32
8 Hegelmann Litauen 29 4 14 11 26
9 Šiauliai 29 3 8 18 17
10 FK Trakai 0 0 0 0 0
# TEAM MP GS GC +/- PTS
1 Kauno Žalgiris 28 56 20 +36 51
2 TransINVEST Vilnius 28 43 35 +8 45
3 FK Zalgiris Vilnius 28 41 34 +7 44
4 Suduva Marijampole 28 39 25 +14 50
5 Džiugas Telšiai 28 36 40 -4 38
6 Banga 28 32 28 +4 41
7 Hegelmann Litauen 29 31 48 -17 26
8 Panevėžys 28 29 43 -14 32
9 Šiauliai 29 24 58 -34 17
10 FK Trakai 0 0 0 0 0