Predictions / Football / Latvia. Virsliga / Auda vs Riga

Prediction Audit: Auda vs Riga Prediction, Odds & AI Betting Tips

Auda Auda
Jun 29, 2026 - 15:00
0 1.08
2 1.52
xG Accuracy: 65%
Riga Riga

AI correctly predicted the Riga win.

The match finished 0–2, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade B-

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 Yes No ✖ Incorrect
  • 1X2 Riga Riga ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 0-2 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Riga higher than the statistical model.

Largest probability gap: Riga -14.8 pp

Outcome Model Closing Market Difference Signal
Auda 21.5% 14.0% +7.5 pp Model Higher
Draw 26.1% 18.8% +7.3 pp Model Higher
Riga 52.3% 67.2% -14.8 pp Market Higher

The closing market estimates Riga's win probability at 67.2%, compared with the model's estimate of 52.3%, a difference of 14.8 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

After full time, the model's directional lean matched the result (Riga win 0–2).

Market Assessment

The market is materially more optimistic about Riga than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

What worked

  • Riga attacking xG significantly stronger (1.52 vs 1.08)
  • Under 2.5 goals aligned with the xG profile
  • Exact score 0–2 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS Yes; match finished BTTS No

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Riga higher (67.1% vs model 52.3%, 14.8 pp), but the model's lean was validated (Riga win 0–2).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Jun 29, 2026 · 19:13 UTC Forecast generated
    • Model 1X2 · Auda 21.6% · Draw 26.1% · Riga 52.4%
    • xG · Auda 1.08 — Riga 1.52
  2. Jun 29, 2026 · 14:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Auda 6.62 · Draw 4.93 · Riga 1.38
    • Implied 1X2 · Auda 14.0% · Draw 18.8% · Riga 67.2%
    • Bookmaker · Pinnacle
  3. Jun 29, 2026 · 14:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Auda 6.62 · Draw 4.93 · Riga 1.38
    • Implied 1X2 · Auda 14.0% · Draw 18.8% · Riga 67.2%
    • Bookmaker · Pinnacle
  4. Jun 29, 2026 · 15:00 UTC Kickoff
  5. FT Full-time result Riga win · 0–2
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Monitor
Historical Decision Monitor
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 56/100 · Moderate
  • Validation: Warning
  • Large market gap (15 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 25/100
Betting Confidence 44/100

Validation Report

Immutable Snapshot

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

Closing Odds 1.38
AI Fair Odds —
CLV Pending
Final Result Riga win · Auda 0–2 Riga
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

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 0.0% · Draw 50.0% · Away 50.0%
  • xG (showing): Auda 1.08 — Riga 1.52 (total xG ≈ 2.6)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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.

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

Historical Recommendation

Historical Decision: Monitor

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 01, 2026 (UTC)

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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