Statistics / Football / Germany. Regionalliga - West / FC Bocholt vs Wiedenbrück

FC Bocholt vs Wiedenbrück Statistics & Analysis

FC Bocholt FC Bocholt
Sep 19, 2026 - 12:00
2 1.34
1 1.26
xG Accuracy: 78%
Wiedenbrück Wiedenbrück
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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 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 FC Bocholt FC Bocholt ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 2-1, 1-2 2-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 01:20 UTC Snapshot ID: dp-8666619

Closing Odds 1.55
AI Fair Odds —
CLV +0.0%
Final Result FC Bocholt win · FC Bocholt 2–1 Wiedenbrück
Prediction ✔ Correct
Decision Grade F

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Wiedenbrück (1X2), Under 2.5 goals meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Under 2.5 goals by about 18.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
FC Bocholt (1X2) 37.0 59.0 -21.9
Draw (1X2) 29.6 20.7 +8.9
Wiedenbrück (1X2) 33.4 20.3 +13.1
Over 2.5 goals 48.2 67.1 -18.9
Under 2.5 goals 51.8 32.9 +18.9
What this means

In plain terms: the model lands near 51.8% on Under 2.5 goals, while the closing snapshot implied about 32.9%. The difference — about 18.9 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE5 · Book: Pinnacle

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE5) Implied Δ (pp)
FC Bocholt (1X2) 1.55 1.55 0.0
Draw (1X2) 4.41 4.41 0.0
Wiedenbrück (1X2) 4.51 4.51 0.0
Over 2.5 goals 1.39 1.39 0.0
Under 2.5 goals 2.83 2.83 0.0

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Regionalliga - West
  • Fixture: FC Bocholt vs Wiedenbrück
  • Kickoff: 2026-09-19 12:00:00
  • 1X2 (model): Home 37.0% · Draw 29.6% · Away 33.4%
  • xG (showing): FC Bocholt 1.34 — Wiedenbrück 1.26 (total xG ≈ 2.6)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • 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 No (Yes 54.5% · No 45.5%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 54.5% · No 45.5%
  • Correct score (top bin): 1-1 (12.5%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Historical Recommendation

Historical Decision: Wait - 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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Back to Statistics
Regionalliga - West Regionalliga - West — Standings
# TEAM MP W D L PTS
1 Rot-weiss Oberhausen 10 8 1 1 25
2 Borussia Dortmund II 10 6 4 0 22
3 Borussia M'gladbach II 10 6 2 2 20
4 FC Gutersloh 10 6 2 2 20
5 Westfalia Rhynern 10 5 2 3 17
6 Bergisch Gladbach 10 5 1 4 16
7 Schalke 04 II 10 5 0 5 15
8 Köln II 10 4 2 4 14
9 Paderborn II 10 3 4 3 13
10 Sportfreunde Siegen 9 3 4 2 13
11 FC Bocholt 10 3 4 3 13
12 Bonner SC 10 2 6 2 12
13 SG Wattenscheid 09 10 2 3 5 9
14 Hilden 10 2 3 5 9
15 Bochum II 10 2 2 6 8
16 Wiedenbrück 9 2 2 5 8
17 SV Rodinghausen 10 1 3 6 6
18 Sportfreunde Lotte 10 0 3 7 3
# TEAM MP GS GC +/- PTS
1 Rot-weiss Oberhausen 10 24 9 +15 25
2 Borussia M'gladbach II 10 23 10 +13 20
3 FC Gutersloh 10 22 10 +12 20
4 FC Bocholt 10 21 22 -1 13
5 Borussia Dortmund II 10 20 10 +10 22
6 Schalke 04 II 10 20 20 0 15
7 Köln II 10 19 18 +1 14
8 Paderborn II 10 19 18 +1 13
9 Bonner SC 10 19 19 0 12
10 Westfalia Rhynern 10 19 20 -1 17
11 Bergisch Gladbach 10 17 18 -1 16
12 Sportfreunde Siegen 9 15 14 +1 13
13 SG Wattenscheid 09 10 13 19 -6 9
14 SV Rodinghausen 10 13 19 -6 6
15 Wiedenbrück 9 12 20 -8 8
16 Hilden 10 12 21 -9 9
17 Bochum II 10 11 18 -7 8
18 Sportfreunde Lotte 10 6 20 -14 3
Regionalliga - West Germany. Regionalliga - West Predictions