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

Riga Mariners vs Skanste Statistics & Analysis

Oct 17, 2026 - 15:00
4 1.40
3 1.20
xG Accuracy: 30%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

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 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Riga Mariners Riga Mariners ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 4-3 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Oct 12, 2026 · 03:38 UTC Snapshot ID: dp-15166301

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Riga Mariners win · Riga Mariners 4–3 Skanste
Prediction ✔ Correct
Decision Grade B-

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: 1. Liga
  • Fixture: Riga Mariners vs Skanste
  • Kickoff: 2026-10-17 15:00:00
  • 1X2 (model): Home 40.0% · Draw 29.5% · Away 30.6%
  • xG (showing): Riga Mariners 1.4 — Skanste 1.2 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: AI–Market Conflict - 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 18, 2026 (UTC)

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Back to Statistics
1. Liga 1. Liga — Standings
# TEAM MP W D L PTS
1 Metta / LU 22 18 3 1 57
2 Valmiera / BSS 22 16 4 2 52
3 Leevon / PPK 22 16 4 2 52
4 Riga Mariners 22 14 5 3 47
5 JDFS Alberts 22 12 4 6 40
6 Mārupe 22 10 2 10 32
7 Riga FC II 22 8 5 9 29
8 Skanste 22 8 2 12 26
9 Super Nova 2 22 6 8 8 26
10 Smiltene 22 5 4 13 19
11 Tukums II 22 5 3 14 18
12 JFK Ventspils 22 3 6 13 15
13 Rīgas FS II 22 4 3 15 15
14 Rēzekne FA 22 1 3 18 6
# TEAM MP GS GC +/- PTS
1 Metta / LU 22 93 17 +76 57
2 Valmiera / BSS 22 61 24 +37 52
3 Riga Mariners 22 50 27 +23 47
4 Leevon / PPK 22 47 25 +22 52
5 JDFS Alberts 22 44 31 +13 40
6 Skanste 22 43 44 -1 26
7 Mārupe 22 37 34 +3 32
8 Rīgas FS II 22 36 65 -29 15
9 Riga FC II 22 34 37 -3 29
10 Smiltene 22 32 59 -27 19
11 Super Nova 2 22 29 33 -4 26
12 Tukums II 22 29 63 -34 18
13 JFK Ventspils 22 21 45 -24 15
14 Rēzekne FA 22 17 69 -52 6