Frechen vs VfL Vichttal Statistics & Analysis

Oct 04, 2026 - 13:30
1 1.21
0 1.39
xG Accuracy: 64%
Premium betting site stake: New users can use the promo code FHn2uDc1 to receive $100 cash.

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 VfL Vichttal Frechen ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-0 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 29, 2026 · 01:52 UTC Snapshot ID: dp-11675756

Closing Odds Pending
AI Fair Odds —
CLV Pending
Final Result Frechen win · Frechen 1–0 VfL Vichttal
Prediction ✖ Missed
Decision Grade F

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: Oberliga - Mittelrhein
  • Fixture: Frechen vs VfL Vichttal
  • Kickoff: 2026-10-04 13:30:00
  • 1X2 (model): Home 31.0% · Draw 29.5% · Away 39.5%
  • xG (showing): Frechen 1.21 — VfL Vichttal 1.39 (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 54.3% · No 45.7%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.3% · No 45.7%
  • Correct score (top bin): 1-1 (12.5%)

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: 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

October 07, 2026 (UTC)

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Back to Statistics
Oberliga - Mittelrhein Oberliga - Mittelrhein — Standings
# TEAM MP W D L PTS
1 Eintracht Hohkeppel 5 4 1 0 13
2 Wegberg-Beeck 5 4 1 0 13
3 Fortuna Köln II 4 3 0 1 9
4 VfL Vichttal 5 2 2 1 8
5 Lindenthal-Hohenlind 5 2 2 1 8
6 SSV Merten 5 2 1 2 7
7 Düren Merzenich 6 2 1 3 7
8 Hennef 05 5 2 1 2 7
9 Chlodwig Zulpich 5 2 1 2 7
10 Hürth 5 1 3 1 6
11 Bornheim 5 2 0 3 6
12 Frechen 5 1 2 2 5
13 Siegburger SV 5 1 2 2 5
14 Porz 5 1 2 2 5
15 Neunkirchen-Seelscheid 5 1 1 3 4
16 TuS BW Königsdorf 5 0 0 5 0
# TEAM MP GS GC +/- PTS
1 Eintracht Hohkeppel 5 17 3 +14 13
2 VfL Vichttal 5 16 10 +6 8
3 Wegberg-Beeck 5 15 4 +11 13
4 SSV Merten 5 13 9 +4 7
5 Fortuna Köln II 4 12 7 +5 9
6 Düren Merzenich 6 12 14 -2 7
7 Frechen 5 11 12 -1 5
8 Chlodwig Zulpich 5 11 16 -5 7
9 Lindenthal-Hohenlind 5 10 9 +1 8
10 Bornheim 5 10 11 -1 6
11 Siegburger SV 5 9 12 -3 5
12 Porz 5 7 10 -3 5
13 Neunkirchen-Seelscheid 5 7 10 -3 4
14 Hennef 05 5 6 8 -2 7
15 TuS BW Königsdorf 5 6 27 -21 0
16 Hürth 5 5 5 0 6