Predictions / Football / Latvia. Virsliga / Grobiņa vs Rīgas FS

Prediction Audit: Grobiņa vs Rīgas FS Prediction, Odds & AI Betting Tips

Jun 13, 2026 - 13:00
1 1.12
3 1.48
xG Accuracy: 64%

AI correctly predicted the Rīgas FS win.

The match finished 1–3, 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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Rīgas FS Rīgas FS ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-2, 1-0, 0-2 1-3 ✖ Incorrect

Model vs Closing Market

Strong Disagreement

The closing market prices Rīgas FS higher than the statistical model.

Largest probability gap: Rīgas FS -22.7 pp

Outcome Model Closing Market Difference Signal
Grobiņa 19.8% 8.0% +11.8 pp Model Edge
Draw 25.1% 14.2% +10.9 pp Model Edge
Rīgas FS 55.1% 77.8% -22.7 pp Market Higher

The closing market estimates Rīgas FS's win probability at 77.8%, compared with the model's estimate of 55.1%, a difference of 22.7 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 (Rīgas FS win 1–3).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 4 goals materialised
  • Rīgas FS attacking xG significantly stronger (1.48 vs 1.12)
  • Both Teams To Score (Yes) matched the full-time result

What failed

  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (4 goals)
  • Exact score: outside the model's top score bins

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced Rīgas FS higher (77.8% vs model 55.1%, 22.7 pp), but the model's lean was validated (Rīgas FS win 1–3).

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Prediction Timeline

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

  1. Jun 13, 2026 · 19:37 UTC Forecast generated
    • Model 1X2 · Grobiņa 19.8% · Draw 25.0% · Rīgas FS 55.2%
    • xG · Grobiņa 1.12 — Rīgas FS 1.48
  2. Jun 13, 2026 · 12:29 UTC Opening odds snapshot PRE30
    • 1X2 odds · Grobiņa 11.55 · Draw 6.53 · Rīgas FS 1.19
    • Implied 1X2 · Grobiņa 8.0% · Draw 14.2% · Rīgas FS 77.8%
    • Bookmaker · Pinnacle
  3. Jun 13, 2026 · 12:59 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Grobiņa 11.55 · Draw 6.53 · Rīgas FS 1.19
    • Implied 1X2 · Grobiņa 8.0% · Draw 14.2% · Rīgas FS 77.8%
    • Bookmaker · Pinnacle
  4. Jun 13, 2026 · 13:00 UTC Kickoff
  5. FT Full-time result Rīgas FS win · 1–3
  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: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (23 pp)
Evidence ★★★★★
  • Moderate model lean
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 21:29 UTC Snapshot ID: dp-1932829

Closing Odds 1.19
AI Fair Odds —
CLV Pending
Final Result Rīgas FS win · Grobiņa 1–3 Rīgas FS
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

Quick read on how the model reads this matchup.

  • League: Virsliga
  • Fixture: Grobiņa vs Rīgas FS
  • Kickoff: 2026-06-13 13:00:00
  • 1X2 (model): Home 0.0% · Draw 50.0% · Away 50.0%
  • xG (showing): Grobiņa 1.12 — Rīgas FS 1.48 (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

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.

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

Historical Recommendation

Historical Decision: Wait

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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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