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

Prediction Audit: FC Bocholt vs Wiedenbrück Prediction, Odds & AI Betting Tips

Sep 19, 2026 - 12:00
2 1.34
1 1.26
xG Accuracy: 78%

AI correctly predicted the FC Bocholt win.

The match finished 2–1, validating the model's directional assessment.

Tracked markets vs full-time result

Prediction grade F

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

Model vs Closing Market

Strong Disagreement

The closing market prices FC Bocholt higher than the statistical model.

Largest probability gap: FC Bocholt -21.9 pp

Outcome Model Closing Market Difference Signal
FC Bocholt 37.1% 59.0% -21.9 pp Market Higher
Draw 29.6% 20.7% +8.9 pp Model Higher
Wiedenbrück 33.3% 20.3% +13.0 pp Model Edge

The closing market estimates FC Bocholt's win probability at 59.0%, compared with the model's estimate of 37.1%, a difference of 21.9 percentage points. This highlights a disagreement between the model and market consensus, without indicating which view is ultimately correct.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE5.

After full time, the model's directional lean matched the result (FC Bocholt win 2–1).

Post Match Insights

What worked

  • Expected goals projected a high-scoring match (ΣxG 2.60) — 3 goals materialised
  • Exact score 2–1 fell within the model's highlighted bins

What failed

  • Both Teams To Score: model leaned BTTS No; match finished BTTS Yes
  • Over / Under 2.5: model leaned Under 2.5; match finished Over 2.5 (3 goals)

Market lesson

Large model–market gaps do not automatically mean the market is right. Here the closing market priced FC Bocholt higher (59.0% vs model 37.1%, 21.9 pp), but the model's lean was validated (FC Bocholt win 2–1).

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Prediction Timeline

How this prediction moved from forecast to full-time review.

  1. Sep 19, 2026 · 11:57 UTC Forecast generated
    • Model 1X2 · FC Bocholt 37.0% · Draw 29.6% · Wiedenbrück 33.4%
    • xG · FC Bocholt 1.34 — Wiedenbrück 1.26
  2. Sep 19, 2026 · 11:35 UTC Opening odds snapshot PRE30
    • 1X2 odds · FC Bocholt 1.55 · Draw 4.41 · Wiedenbrück 4.51
    • Implied 1X2 · FC Bocholt 59.0% · Draw 20.7% · Wiedenbrück 20.3%
    • Bookmaker · Pinnacle
  3. Sep 19, 2026 · 11:57 UTC Closing snapshot recorded PRE5
    • 1X2 odds · FC Bocholt 1.55 · Draw 4.41 · Wiedenbrück 4.51
    • Implied 1X2 · FC Bocholt 59.0% · Draw 20.7% · Wiedenbrück 20.3%
    • Bookmaker · Pinnacle
  4. Sep 19, 2026 · 12:00 UTC Kickoff
  5. FT Full-time result FC Bocholt win · 2–1
  6. FT Prediction validated Directional lean matched full-time result
  7. Archived Prediction review

Historical Snapshot

Frozen at kickoff — the model output as it stood before the match started.

Historical verdict: Cautious / Wait

Historical label: Originally displayed as "Wait for validation".

Historical Decision Wait
Outcome Validated
Pre-match metrics (historical context)
Prediction Reliability 52/100 · Moderate
  • Validation: Warning
  • Large market gap (22 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 0/100
Betting Confidence 33/100

Validation Report

Immutable Snapshot

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

Closing Odds 1.55
AI Fair Odds —
CLV Pending
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%

Review FAQ

How accurate was the prediction?
This page grades directional markets (1X2, Over/Under 2.5, BTTS) against the full-time result. The prediction grade reflects how many of those tracked markets matched reality.
What does xG Accuracy measure?
xG Accuracy compares the model's pre-match expected-goals profile to the actual scoreline — not whether every market hit. A strong directional review can coexist with a moderate xG accuracy score.
Why wasn't the exact score predicted?
Correct-score outcomes are low-probability tails even when the model reads the match profile well. We highlight top score bins for context; missing the exact line does not invalidate a directional review.
Does this improve the AI record?
Each finished match is logged in our validation pipeline. Aggregated hit rates and CLV studies are published separately — this page is the per-match audit trail.

Predictions are for informational purposes only. Always gamble responsibly and within your limits. Past performance does not guarantee future results.

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

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 01, 2026 (UTC)

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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