Predictions / Football / Estonia. Esiliiga A / Elva vs Maardu

Prediction Audit: Elva vs Maardu Prediction, Odds & AI Betting Tips

Elva Elva
Aug 20, 2026 - 09:30
1 1.37
0 1.23
xG Accuracy: 64%
Maardu Maardu

AI correctly predicted the Elva win.

The match finished 1–0, 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 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Elva Elva ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 1-0 ✔ Correct

Model vs Closing Market

Strong Disagreement

The closing market prices Elva higher than the statistical model.

Largest probability gap: Elva -12.0 pp

Outcome Model Closing Market Difference Signal
Elva 38.5% 50.5% -12.0 pp Market Higher
Draw 29.6% 22.7% +6.8 pp Model Higher
Maardu 31.9% 26.8% +5.1 pp Model Higher

The closing market estimates Elva's win probability at 50.5%, compared with the model's estimate of 38.5%, a difference of 12.0 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 (Elva win 1–0).

Market Assessment

The market is materially more optimistic about Elva 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

  • Under 2.5 goals aligned with the xG profile
  • Exact score 1–0 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 Elva higher (50.5% vs model 38.5%, 12.0 pp), but the model's lean was validated (Elva win 1–0).

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Prediction Timeline

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

  1. Aug 20, 2026 · 09:29 UTC Forecast generated
    • Model 1X2 · Elva 38.5% · Draw 29.6% · Maardu 31.9%
    • xG · Elva 1.37 — Maardu 1.23
  2. Aug 20, 2026 · 08:59 UTC Opening odds snapshot PRE30
    • 1X2 odds · Elva 1.77 · Draw 3.86 · Maardu 3.31
    • Implied 1X2 · Elva 50.2% · Draw 23.0% · Maardu 26.8%
    • Bookmaker · Pinnacle
  3. Aug 20, 2026 · 09:29 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Elva 1.78 · Draw 3.95 · Maardu 3.35
    • Implied 1X2 · Elva 50.5% · Draw 22.7% · Maardu 26.8%
    • Bookmaker · Pinnacle
  4. Aug 20, 2026 · 09:30 UTC Kickoff
  5. FT Full-time result Elva win · 1–0
  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 57/100 · Moderate
  • Validation: Warning
  • Large market gap (12 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Market has already priced much of the edge
  • Validation warning
Pricing proximity (inverse gap) 40/100
Betting Confidence 45/100

Validation Report

Immutable Snapshot

Prediction Time: Aug 14, 2026 · 01:19 UTC Snapshot ID: dp-3894698

Closing Odds 1.78
AI Fair Odds —
CLV Pending
Final Result Elva win · Elva 1–0 Maardu
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

Pre-match snapshot for this fixture.

  • League: Esiliiga A
  • Fixture: Elva vs Maardu
  • Kickoff: 2026-08-20 09:30:00
  • 1X2 (model): Home 38.5% · Draw 29.6% · Away 31.9%
  • xG (showing): Elva 1.37 — Maardu 1.23 (total xG ≈ 2.6)
  • Value headline: None — no positive EV on tracked lines at current best prices (same as the decision block: no default bet).
  • 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 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

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: 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

September 29, 2026 (UTC)

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Esiliiga A Esiliiga A — Standings
# TEAM MP W D L PTS
1 Tartu Welco 30 19 5 6 62
2 Viimsi 30 15 5 10 50
3 Flora II 30 14 6 10 48
4 Elva 30 14 6 10 48
5 FCI Levadia II 29 13 2 14 41
6 Maardu 28 12 5 11 41
7 Tallinna Kalev 29 10 7 12 37
8 Nõmme United II 30 10 6 14 36
9 FC Tallinn 30 8 8 14 32
10 Nõmme Kalju II 30 6 4 20 22
# TEAM MP GS GC +/- PTS
1 Tartu Welco 30 81 39 +42 62
2 Flora II 30 72 53 +19 48
3 FCI Levadia II 29 60 55 +5 41
4 Viimsi 30 56 31 +25 50
5 Tallinna Kalev 29 52 55 -3 37
6 Nõmme United II 30 50 62 -12 36
7 Elva 30 47 44 +3 48
8 Maardu 28 47 59 -12 41
9 FC Tallinn 30 39 65 -26 32
10 Nõmme Kalju II 30 38 79 -41 22