Statistics / Football / Germany. Oberliga - Bayern Süd / 1860 München II vs Erlbach

1860 München II vs Erlbach Statistics & Analysis

Sep 18, 2026 - 17:00
0 1.44
1 1.16
xG Accuracy: 64%
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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 Under 2.5 Under 2.5 (1 goals) ✔ Correct
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 1860 München II Erlbach ✖ Incorrect
  • Correct Score Insights 1-1, 1-0, 2-1, 0-1, 2-0 0-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 12, 2026 · 01:56 UTC Snapshot ID: dp-8209364

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Erlbach win · 1860 München II 0–1 Erlbach
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 - Bayern Süd
  • Fixture: 1860 München II vs Erlbach
  • Kickoff: 2026-09-18 17:00:00
  • 1X2 (model): Home 41.9% · Draw 29.3% · Away 28.8%
  • xG (showing): 1860 München II 1.44 — Erlbach 1.16 (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): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.0% · No 46.0%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.0% · No 46.0%
  • Correct score (top bin): 1-1 (12.4%)

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: 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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