Statistics / Football / World. Friendlies Clubs / Memmingen vs FC Lugano

Memmingen vs FC Lugano Statistics & Analysis

Memmingen Memmingen
Jul 07, 2026 - 16:00
0 1.29
4 1.31
xG Accuracy: 34%
FC Lugano FC Lugano
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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 Over 2.5 (4 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 FC Lugano FC Lugano ✔ Correct
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 0-4 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 24, 2026 · 02:32 UTC Snapshot ID: dp-1535436

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result FC Lugano win · Memmingen 0–4 FC Lugano
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Friendlies Clubs
  • Fixture: Memmingen vs FC Lugano
  • Kickoff: 2026-07-07 16:00:00
  • 1X2 (model): Home 34.7% · Draw 29.7% · Away 35.6%
  • xG (showing): Memmingen 1.29 — FC Lugano 1.31 (total xG ≈ 2.6)
  • Value headline: None (actionable) — best tracked EV is about +1.3%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Historical Recommendation

Historical Decision: AI–Market Conflict - 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

October 08, 2026 (UTC)

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