Auda vs Riga Statistics & Analysis

Jun 29, 2026 - 15:00
0 1.08
2 1.52
xG Accuracy: 65%
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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Riga Riga ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 0-2 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 14:19 UTC Snapshot ID: dp-1718089

Closing Odds 1.38
AI Fair Odds —
CLV +0.0%
Final Result Riga win · Auda 0–2 Riga
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 Auda (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 14.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Auda (1X2) 21.6 14.0 +7.5
Draw (1X2) 26.1 18.8 +7.3
Riga (1X2) 52.4 67.2 -14.8
Over 2.5 goals 48.2 62.5 -14.3
Under 2.5 goals 51.8 37.5 +14.3
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 37.5%. The difference — about 14.3 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) Implied Δ (pp)
Auda (1X2) 6.62 6.62 0.0
Draw (1X2) 4.93 4.93 0.0
Riga (1X2) 1.38 1.38 0.0
Over 2.5 goals 1.5 1.5 0.0
Under 2.5 goals 2.5 2.5 0.0

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Virsliga
  • Fixture: Auda vs Riga
  • Kickoff: 2026-06-29 15:00:00
  • 1X2 (model): Home 21.6% · Draw 26.1% · Away 52.3%
  • xG (showing): Auda 1.08 — Riga 1.52 (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: 38.8% · Probability edge: +13.0 pts · Est. EV: +29.5%
  • 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 26, 2026 (UTC)

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Back to Statistics
Virsliga Virsliga — Standings
# TEAM MP W D L PTS
1 Rīgas FS 30 23 5 2 74
2 Riga 31 22 7 2 73
3 Auda 31 18 7 6 61
4 FK Liepaja 31 12 7 12 43
5 BFC Daugavpils 31 10 9 12 39
6 Super Nova 30 10 5 15 35
7 FS Jelgava 31 8 8 15 32
8 Grobiņa 31 5 11 15 26
9 Tukums 31 5 9 17 24
10 Ogre United 31 4 6 21 18
# TEAM MP GS GC +/- PTS
1 Riga 31 86 30 +56 73
2 Rīgas FS 30 71 22 +49 74
3 Auda 31 49 30 +19 61
4 Tukums 31 44 61 -17 24
5 FK Liepaja 31 41 43 -2 43
6 BFC Daugavpils 31 35 35 0 39
7 FS Jelgava 31 32 49 -17 32
8 Ogre United 31 30 76 -46 18
9 Super Nova 30 29 40 -11 35
10 Grobiņa 31 21 52 -31 26
Virsliga Latvia. Virsliga Predictions