Statistics / Football / Germany. Oberliga - Bremen / Eiche Horn vs Habenhauser FV

Eiche Horn vs Habenhauser FV Statistics & Analysis

Eiche Horn Eiche Horn
May 15, 2026 - 17:15
4 1.45
1 1.25
xG Accuracy: 46%
Habenhauser FV Habenhauser FV
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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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Eiche Horn Eiche Horn ✔ Correct
  • Correct Score Insights 2-1, 3-1, 1-1, 2-0, 2-2 4-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 23, 2026 · 18:10 UTC Snapshot ID: dp-1482717

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Eiche Horn win · Eiche Horn 4–1 Habenhauser FV
Prediction ✔ Correct
Decision Grade A

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: Eiche Horn vs Habenhauser FV
  • Kickoff: 2026-05-15 17:15:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Eiche Horn 1.45 — Habenhauser FV 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 23.1% · Over 2.5 76.9%); BTTS Yes (Yes 70.4% · No 29.6%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 70.4% · No 29.6%
  • Correct score (top bin): 2-1 (8.6%)

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: 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 30, 2026 (UTC)

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