Statistics / Football / Germany. Regionalliga - West / Wuppertaler SV vs Bonner SC

Wuppertaler SV vs Bonner SC Statistics & Analysis

May 16, 2026 - 12:00
0 1.45
1 1.25
xG Accuracy: 63%
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 No No ✔ Correct
  • 1X2 Wuppertaler SV Bonner SC ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-2, 0-2, 1-0 0-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Jul 25, 2026 · 15:53 UTC Snapshot ID: dp-1730018

Closing Odds 2.38
AI Fair Odds —
CLV +0.0%
Final Result Bonner SC win · Wuppertaler SV 0–1 Bonner SC
Prediction ✖ Missed
Decision Grade C

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 PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Wuppertaler SV (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 12.8 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Wuppertaler SV (1X2) 41.8 37.7 +4.1
Draw (1X2) 25.7 25.0 +0.7
Bonner SC (1X2) 32.6 37.4 -4.8
Over 2.5 goals 50.6 63.4 -12.8
Under 2.5 goals 49.4 36.6 +12.8
What this means

In plain terms: the model lands near 49.4% on Under 2.5 goals, while the closing snapshot implied about 36.6%. The difference — about 12.8 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 → PRE1 · 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 (PRE1) Implied Δ (pp)
Wuppertaler SV (1X2) 2.36 2.36 0.0
Draw (1X2) 3.56 3.56 0.0
Bonner SC (1X2) 2.38 2.38 0.0
Over 2.5 goals 1.44 1.44 0.0
Under 2.5 goals 2.49 2.49 0.0

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: Regionalliga - West
  • Fixture: Wuppertaler SV vs Bonner SC
  • Kickoff: 2026-05-16 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Wuppertaler SV 1.45 — Bonner SC 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 49.4% · Implied: 36.9% · Probability edge: +12.5 pts · Est. EV: +28.4%
  • BTTS (model): Yes 44.4% · No 55.6%
  • Correct score (top bin): 1-1 (11.7%)

Totals and BTTS are evaluated against current market prices where available.

Correct score remains high-variance even when a line is most likely on paper.

Historical Recommendation

Historical Decision: 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

September 29, 2026 (UTC)

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Back to Statistics
Regionalliga - West Regionalliga - West — Standings
# TEAM MP W D L PTS
1 Fortuna Köln 34 20 10 4 70
2 Rot-weiss Oberhausen 34 19 9 6 66
3 Schalke 04 II 34 18 7 9 61
4 FC Gutersloh 34 16 11 7 59
5 Borussia Dortmund II 34 16 10 8 58
6 Borussia M'gladbach II 34 17 7 10 58
7 Sportfreunde Siegen 34 14 13 8 54
8 Paderborn II 34 12 10 12 46
9 Bonner SC 34 12 10 12 46
10 Köln II 34 13 6 15 45
11 Sportfreunde Lotte 34 11 12 11 45
12 Fortuna Düsseldorf II 34 11 7 16 40
13 FC Bocholt 34 10 9 15 39
14 Bochum II 34 9 12 13 39
15 SV Rodinghausen 34 7 8 19 29
16 Wiedenbrück 34 7 8 19 29
17 Wuppertaler SV 34 5 11 18 26
18 SSVg Velbert 34 6 7 21 25
# TEAM MP GS GC +/- PTS
1 Schalke 04 II 34 77 50 +27 61
2 Fortuna Köln 34 71 30 +41 70
3 Borussia Dortmund II 34 66 50 +16 58
4 Sportfreunde Siegen 34 62 43 +19 54
5 Borussia M'gladbach II 34 61 46 +15 58
6 Rot-weiss Oberhausen 34 60 40 +20 66
7 FC Gutersloh 34 55 40 +15 59
8 Köln II 34 55 63 -8 45
9 Paderborn II 34 52 38 +14 46
10 Bochum II 34 50 62 -12 39
11 FC Bocholt 34 49 57 -8 39
12 Fortuna Düsseldorf II 34 47 58 -11 40
13 SV Rodinghausen 34 46 63 -17 29
14 Sportfreunde Lotte 34 45 55 -10 45
15 Wiedenbrück 34 39 65 -26 29
16 Bonner SC 34 38 42 -4 46
17 Wuppertaler SV 34 36 70 -34 26
18 SSVg Velbert 34 35 72 -37 25