Statistics / Football / Germany. Oberliga - Bremen / Oberneuland vs Leher TS

Oberneuland vs Leher TS Statistics & Analysis

Oberneuland Oberneuland
May 08, 2026 - 17:30
2 1.45
2 1.25
xG Accuracy: 70%
Leher TS Leher TS
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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 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Oberneuland Draw ✖ Incorrect
  • Correct Score Insights 2-1, 1-1, 2-2, 1-2, 3-1 2-2 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 03:56 UTC Snapshot ID: dp-1547101

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Draw · Oberneuland 2–2 Leher TS
Prediction ✖ Missed
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Oberliga - Bremen
  • Fixture: Oberneuland vs Leher TS
  • Kickoff: 2026-05-08 17:30:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Oberneuland 1.45 — Leher TS 1.25 (total xG ≈ 2.7)
  • 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): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 25.3% · Over 2.5 74.7%); BTTS No (Yes 48.4% · No 51.6%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 48.4% · No 51.6%
  • Correct score (top bin): 2-1 (7.9%)

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.

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

Historical Recommendation

Historical Decision: 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 29, 2026 (UTC)

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