Statistics / Football / Germany. Regionalliga - Nord / BW Lohne vs Schöningen

BW Lohne vs Schöningen Statistics & Analysis

BW Lohne BW Lohne
May 09, 2026 - 16:00
4 1.45
4 1.25
xG Accuracy: 23%
Schöningen Schöningen
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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 Over 2.5 Over 2.5 (8 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 BW Lohne Draw ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 0-1 4-4 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Aug 10, 2026 · 18:03 UTC Snapshot ID: dp-3563902

Closing Odds 2.62
AI Fair Odds —
CLV +0.0%
Final Result Draw · BW Lohne 4–4 Schöningen
Prediction ✖ Missed
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 PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices BW Lohne (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 13.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
BW Lohne (1X2) 41.8 35.0 +6.8
Draw (1X2) 25.7 26.3 -0.6
Schöningen (1X2) 32.6 38.7 -6.1
Over 2.5 goals 50.6 64.5 -13.9
Under 2.5 goals 49.4 35.5 +13.9
What this means

In plain terms: the model lands near 49.4% on Under 2.5 goals, while the closing snapshot implied about 35.5%. The difference — about 13.9 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 → 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)
BW Lohne (1X2) 2.62 2.62 0.0
Draw (1X2) 3.49 3.49 0.0
Schöningen (1X2) 2.37 2.37 0.0
Over 2.5 goals 1.44 1.44 0.0
Under 2.5 goals 2.62 2.62 0.0

AI match briefing

AI Match Summary

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

  • League: Regionalliga - Nord
  • Fixture: BW Lohne vs Schöningen
  • Kickoff: 2026-05-10 13:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): BW Lohne 1.45 — Schöningen 1.25 (total xG ≈ 2.7)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 49.4% · Implied: 35.5% · Probability edge: +13.9 pts · Est. EV: +29.4%
  • BTTS (model): Yes 43.0% · No 57.0%
  • Correct score (top bin): 1-1 (9.2%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

1X2 can look balanced even when side markets show clearer structure.

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

September 29, 2026 (UTC)

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Back to Statistics
Regionalliga - Nord Regionalliga - Nord — Standings
# TEAM MP W D L PTS
1 SV Meppen 34 26 5 3 83
2 SV Drochtersen/Assel 34 22 4 8 70
3 VfB Oldenburg 34 21 6 7 69
4 SSV Jeddeloh 34 19 7 8 64
5 Phönix Lübeck 34 16 8 10 56
6 Hannover 96 II 34 16 5 13 53
7 Bremer SV 34 14 10 10 52
8 Weiche Flensburg 34 14 7 13 49
9 Kickers Emden 34 14 9 11 51
10 Hamburger SV II 34 13 8 13 47
11 VfB Lübeck 34 12 9 13 45
12 Werder Bremen II 34 10 10 14 40
13 HSC Hannover 34 10 7 17 37
14 Schöningen 34 10 4 20 34
15 Eintracht Norderstedt 34 7 9 18 30
16 St. Pauli II 34 4 13 17 25
17 BW Lohne 34 5 8 21 23
18 Altona 93 34 6 5 23 23
# TEAM MP GS GC +/- PTS
1 SV Meppen 34 103 35 +68 83
2 VfB Oldenburg 34 87 45 +42 69
3 SV Drochtersen/Assel 34 83 48 +35 70
4 SSV Jeddeloh 34 81 50 +31 64
5 Weiche Flensburg 34 69 63 +6 49
6 Kickers Emden 34 64 54 +10 51
7 Hannover 96 II 34 63 49 +14 53
8 Hamburger SV II 34 57 50 +7 47
9 Werder Bremen II 34 57 71 -14 40
10 Schöningen 34 56 84 -28 34
11 VfB Lübeck 34 54 61 -7 45
12 Phönix Lübeck 34 53 43 +10 56
13 Bremer SV 34 52 41 +11 52
14 Eintracht Norderstedt 34 51 79 -28 30
15 HSC Hannover 34 49 84 -35 37
16 Altona 93 34 44 92 -48 23
17 St. Pauli II 34 38 72 -34 25
18 BW Lohne 34 38 78 -40 23
Regionalliga - Nord Germany. Regionalliga - Nord Predictions