Statistics / Football / Latvia. 1. Liga / Leevon / PPK vs Metta / LU

Leevon / PPK vs Metta / LU Statistics & Analysis

Leevon / PPK Leevon / PPK
Jun 28, 2026 - 10:00
1 1.29
3 1.31
xG Accuracy: 58%
Metta / LU Metta / LU
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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 No Yes ✖ Incorrect
  • 1X2 Metta / LU Metta / LU ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 05:03 UTC Snapshot ID: dp-1553524

Closing Odds 1.48
AI Fair Odds —
CLV +0.0%
Final Result Metta / LU win · Leevon / PPK 1–3 Metta / LU
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 Leevon / PPK (1X2), Draw (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 14.0 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Leevon / PPK (1X2) 29.3 18.4 +11.0
Draw (1X2) 27.8 21.7 +6.0
Metta / LU (1X2) 42.9 59.9 -17.0
Over 2.5 goals 48.2 62.2 -14.0
Under 2.5 goals 51.8 37.8 +14.0
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 37.8%. The difference — about 14.0 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)
Leevon / PPK (1X2) 4.83 4.83 0.0
Draw (1X2) 4.08 4.08 0.0
Metta / LU (1X2) 1.48 1.48 0.0
Over 2.5 goals 1.47 1.47 0.0
Under 2.5 goals 2.42 2.42 0.0

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: 1. Liga
  • Fixture: Leevon / PPK vs Metta / LU
  • Kickoff: 2026-06-28 10:00:00
  • 1X2 (model): Home 29.3% · Draw 27.8% · Away 42.9%
  • xG (showing): Leevon / PPK 1.29 — Metta / LU 1.31 (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

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

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 29, 2026 (UTC)

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Back to Statistics
1. Liga 1. Liga — Standings
# TEAM MP W D L PTS
1 Metta / LU 21 17 3 1 54
2 Valmiera / BSS 21 16 3 2 51
3 Leevon / PPK 21 15 4 2 49
4 Riga Mariners 21 14 5 2 47
5 JDFS Alberts 21 11 4 6 37
6 Mārupe 21 9 2 10 29
7 Skanste 21 8 2 11 26
8 Riga FC II 21 7 5 9 26
9 Super Nova 2 21 6 7 8 25
10 Tukums II 21 5 3 13 18
11 Smiltene 21 4 4 13 16
12 JFK Ventspils 21 3 6 12 15
13 Rīgas FS II 21 4 3 14 15
14 Rēzekne FA 21 1 3 17 6
# TEAM MP GS GC +/- PTS
1 Metta / LU 21 89 17 +72 54
2 Valmiera / BSS 21 60 23 +37 51
3 Riga Mariners 21 50 23 +27 47
4 Leevon / PPK 21 43 25 +18 49
5 Skanste 21 43 42 +1 26
6 JDFS Alberts 21 42 31 +11 37
7 Mārupe 21 34 32 +2 29
8 Rīgas FS II 21 34 62 -28 15
9 Riga FC II 21 29 37 -8 26
10 Smiltene 21 29 57 -28 16
11 Super Nova 2 21 28 32 -4 25
12 Tukums II 21 27 60 -33 18
13 JFK Ventspils 21 21 41 -20 15
14 Rēzekne FA 21 17 64 -47 6