Statistics / Football / Latvia. 1. Liga / Skanste vs Riga Mariners

Skanste vs Riga Mariners Statistics & Analysis

Skanste Skanste
Jun 14, 2026 - 15:00
0 1.24
2 1.36
xG Accuracy: 60%
Riga Mariners Riga Mariners
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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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Riga Mariners Riga Mariners ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 05:25 UTC Snapshot ID: dp-1554628

Closing Odds 1.49
AI Fair Odds —
CLV +0.0%
Final Result Riga Mariners win · Skanste 0–2 Riga Mariners
Prediction ✔ Correct
Decision Grade A

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 Skanste (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 16.6 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Skanste (1X2) 27.8 18.8 +9.0
Draw (1X2) 27.5 21.6 +5.9
Riga Mariners (1X2) 44.7 59.6 -14.9
Over 2.5 goals 48.2 64.8 -16.6
Under 2.5 goals 51.8 35.2 +16.6
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 35.2%. The difference — about 16.6 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)
Skanste (1X2) 4.72 4.72 0.0
Draw (1X2) 4.11 4.11 0.0
Riga Mariners (1X2) 1.49 1.49 0.0
Over 2.5 goals 1.41 1.41 0.0
Under 2.5 goals 2.6 2.6 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 1. Liga
  • Fixture: Skanste vs Riga Mariners
  • Kickoff: 2026-06-14 15:00:00
  • 1X2 (model): Home 27.8% · Draw 27.5% · Away 44.7%
  • xG (showing): Skanste 1.24 — Riga Mariners 1.36 (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: 34.4% · Probability edge: +17.4 pts · Est. EV: +49.2%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

September 28, 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