FK Zalgiris Vilnius vs Panevėžys Statistics & Analysis

FK Zalgiris Vilnius

Jun 16, 2026 - 16:30

3 1.37

0 1.23

xG Accuracy: 46%

Panevėžys

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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 (3 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, 1-2 3-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 01, 2026 · 01:56 UTC Snapshot ID: dp-2674963

Closing Odds 1.51

AI Fair Odds —

CLV +0.0%

Final Result FK Zalgiris Vilnius win · FK Zalgiris Vilnius 3–0 Panevėžys

Prediction ✔ Correct

Decision Grade F

Model Performance

This prediction contributes to:

Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Panevėžys (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Panevėžys (1X2) by about 10.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market	Model %	Closing impl. %	Gap (pp)
FK Zalgiris Vilnius (1X2)	45.3	61.5	-16.2
Draw (1X2)	27.8	21.8	+6.0
Panevėžys (1X2)	27.0	16.7	+10.3
Over 2.5 goals	48.2	57.1	-8.9
Under 2.5 goals	51.8	42.9	+8.9

What this means

In plain terms: the model lands near 27.0% on Panevėžys (1X2), while the closing snapshot implied about 16.7%. The difference — about 10.3 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE1 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table

Market	Early (PRE30)	Closing (PRE1)
FK Zalgiris Vilnius (1X2)	1.51	1.51
Draw (1X2)	4.26	4.26
Panevėžys (1X2)	5.56	5.56
Over 2.5 goals	1.65	1.65
Under 2.5 goals	2.2	2.2

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

League: A Lyga
Fixture: FK Zalgiris Vilnius vs Panevėžys
Kickoff: 2026-06-16 16:30:00
1X2 (model): Home 45.3% · Draw 27.8% · Away 27.0%
xG (showing): FK Zalgiris Vilnius 1.37 — Panevėžys 1.23 (total xG ≈ 2.6)
Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
BTTS (model): Yes 54.4% · No 45.6%
Correct score (top bin): 1-1 (12.5%)

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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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