Statistics / Football / Estonia. Meistriliiga / Kalju Nomme vs Tammeka

Kalju Nomme vs Tammeka Statistics & Analysis

Jun 17, 2026 - 16:00
1 1.51
2 1.09
xG Accuracy: 68%
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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Kalju Nomme Tammeka ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 1-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 04:19 UTC Snapshot ID: dp-1550111

Closing Odds 1.43
AI Fair Odds
CLV +0.0%
Final Result Tammeka win · Kalju Nomme 1–2 Tammeka
Prediction ✖ Missed
Decision Grade F

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 Draw (1X2), Tammeka (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 17.2 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Kalju Nomme (1X2) 45.3 65.0 -19.7
Draw (1X2) 28.9 19.5 +9.4
Tammeka (1X2) 25.8 15.5 +10.3
Over 2.5 goals 48.2 65.4 -17.2
Under 2.5 goals 51.8 34.6 +17.2
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 34.6%. The difference — about 17.2 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)
Kalju Nomme (1X2) 1.43 1.43 0.0
Draw (1X2) 4.76 4.76 0.0
Tammeka (1X2) 6.0 6.0 0.0
Over 2.5 goals 1.43 1.43 0.0
Under 2.5 goals 2.7 2.7 0.0

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Meistriliiga
  • Fixture: Kalju Nomme vs Tammeka
  • Kickoff: 2026-06-17 16:00:00
  • 1X2 (model): Home 45.3% · Draw 28.9% · Away 25.8%
  • xG (showing): Kalju Nomme 1.51 — Tammeka 1.09 (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 No (Yes 53.3% · No 46.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 53.3% · No 46.7%
  • Correct score (top bin): 1-1 (12.2%)

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: AI Value Alert - No Primary Bet

Outcome: Missed — Pre-match 1X2 lean did not match 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 16, 2026 (UTC)

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Back to Statistics
Meistriliiga MeistriliigaStandings
# TEAM MP W D L PTS
1 FC Levadia Tallinn 27 21 5 1 68
2 Flora Tallinn 28 17 1 10 52
3 Kalju Nomme 28 14 5 9 47
4 Paide 27 13 6 8 45
5 Tammeka 27 14 2 11 44
6 Laagri 28 11 1 16 34
7 Vaprus 27 10 4 13 34
8 Nõmme United 28 9 1 18 28
9 Kuressaare 28 8 4 16 28
10 Trans Narva 28 5 3 20 18
# TEAM MP GS GC +/- PTS
1 FC Levadia Tallinn 27 74 20 +54 68
2 Flora Tallinn 28 56 37 +19 52
3 Kalju Nomme 28 49 26 +23 47
4 Nõmme United 28 46 65 -19 28
5 Paide 27 43 35 +8 45
6 Laagri 28 40 47 -7 34
7 Vaprus 27 37 52 -15 34
8 Tammeka 27 36 38 -2 44
9 Kuressaare 28 31 49 -18 28
10 Trans Narva 28 21 64 -43 18