Statistics / Football / USA. USL League Two / Des Moines Menace vs Springfield

Des Moines Menace vs Springfield Statistics & Analysis

Des Moines Menace Des Moines Menace
Jun 14, 2026 - 00:00
3 1.50
1 1.10
xG Accuracy: 64%
Springfield Springfield
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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 Yes Yes ✔ Correct
  • 1X2 Des Moines Menace Des Moines Menace ✔ Correct
  • Correct Score Insights 1-1, 1-0, 2-1, 2-0, 0-1 3-1 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 27, 2026 · 07:09 UTC Snapshot ID: dp-1973031

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Des Moines Menace win · Des Moines Menace 3–1 Springfield
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: USL League Two
  • Fixture: Des Moines Menace vs Springfield
  • Kickoff: 2026-06-14 00:00:00
  • 1X2 (model): Home 44.8% · Draw 29.0% · Away 26.2%
  • xG (showing): Des Moines Menace 1.5 — Springfield 1.1 (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): Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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 27, 2026 (UTC)

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