Statistics / Football / World. Friendlies Clubs / SV Drochtersen/Assel vs SV Rodinghausen

SV Drochtersen/Assel vs SV Rodinghausen Statistics & Analysis

Jul 04, 2026 - 11:00
4 1.31
2 1.29
xG Accuracy: 39%
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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 (6 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 SV Drochtersen/Assel SV Drochtersen/Assel ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 4-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Jul 26, 2026 · 02:47 UTC Snapshot ID: dp-1802546

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result SV Drochtersen/Assel win · SV Drochtersen/Assel 4–2 SV Rodinghausen
Prediction ✔ Correct
Decision Grade B-

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: Friendlies Clubs
  • Fixture: SV Drochtersen/Assel vs SV Rodinghausen
  • Kickoff: 2026-07-04 11:00:00
  • 1X2 (model): Home 35.6% · Draw 29.7% · Away 34.7%
  • xG (showing): SV Drochtersen/Assel 1.31 — SV Rodinghausen 1.29 (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

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.

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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