Statistics / Football / Lithuania. 1 Lyga / Garliava vs Transinvest 2

Garliava vs Transinvest 2 Statistics & Analysis

Garliava Garliava
Jun 19, 2026 - 16:30
3 1.25
0 1.35
xG Accuracy: 43%
⚽
Transinvest 2
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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 No No ✔ Correct
  • 1X2 Garliava Garliava ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 3-0 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 21:08 UTC Snapshot ID: dp-1642442

Closing Odds 1.27
AI Fair Odds —
CLV +0.0%
Final Result Garliava win · Garliava 3–0 Transinvest 2
Prediction ✔ Correct
Decision Grade B-

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), Transinvest 2 (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 Under 2.5 goals by about 17.4 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Garliava (1X2) 44.2 69.8 -25.6
Draw (1X2) 27.4 17.4 +9.9
Transinvest 2 (1X2) 28.4 12.8 +15.6
Over 2.5 goals 48.2 65.6 -17.4
Under 2.5 goals 51.8 34.4 +17.4
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 34.4%. The difference — about 17.4 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) Implied Δ (pp)
Garliava (1X2) 1.27 1.27 0.0
Draw (1X2) 5.08 5.08 0.0
Transinvest 2 (1X2) 6.93 6.93 0.0
Over 2.5 goals 1.38 1.38 0.0
Under 2.5 goals 2.63 2.63 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 1 Lyga
  • Fixture: Garliava vs Transinvest 2
  • Kickoff: 2026-06-19 16:30:00
  • 1X2 (model): Home 44.2% · Draw 27.4% · Away 28.4%
  • xG (showing): Garliava 1.25 — Transinvest 2 1.35 (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): Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Wait - 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 29, 2026 (UTC)

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Back to Statistics
1 Lyga 1 Lyga — Standings
# TEAM MP W D L PTS
1 Minija 24 21 1 2 64
2 Babrungas 25 19 4 2 61
3 Be1 NFA 24 16 2 6 50
4 Neptūną Klaipėda 25 14 2 9 44
5 Tauras 25 13 4 8 43
6 Žalgiris II 25 13 4 8 43
7 BFA 25 13 4 8 43
8 Dainava 24 11 7 6 40
9 Atmosfera 24 8 6 10 30
10 Jonava 25 7 6 12 27
11 Garliava 24 6 4 14 22
12 Kauno Žalgiris II 24 7 1 16 22
13 Hegelmann II 25 7 1 17 22
14 Transinvest 2 25 6 3 16 21
15 FA Šiauliai II 25 4 5 16 17
16 Ekranas 25 4 2 19 14
# TEAM MP GS GC +/- PTS
1 Minija 24 63 13 +50 64
2 Babrungas 25 43 11 +32 61
3 Be1 NFA 24 43 25 +18 50
4 Tauras 25 43 31 +12 43
5 BFA 25 39 35 +4 43
6 Žalgiris II 25 38 32 +6 43
7 Atmosfera 24 37 33 +4 30
8 Dainava 24 34 23 +11 40
9 Neptūną Klaipėda 25 33 30 +3 44
10 Hegelmann II 25 30 56 -26 22
11 Transinvest 2 25 29 58 -29 21
12 Jonava 25 28 33 -5 27
13 Garliava 24 27 30 -3 22
14 FA Šiauliai II 25 27 56 -29 17
15 Ekranas 25 25 58 -33 14
16 Kauno Žalgiris II 24 23 38 -15 22
1 Lyga Lithuania. 1 Lyga Predictions