Statistics / Football / Germany. Frauen Bundesliga / Bayer Leverkusen W vs Werder Bremen W

Bayer Leverkusen W vs Werder Bremen W Statistics & Analysis

Oct 02, 2026 - 16:30
3 1.22
2 1.13
xG Accuracy: 48%
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 Over 2.5 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Bayer Leverkusen W Bayer Leverkusen W ✔ Correct
  • Correct Score Insights 1-1, 1-0, 0-1, 0-0, 2-1 3-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 26, 2026 · 01:38 UTC Snapshot ID: dp-10973508

Closing Odds 1.7
AI Fair Odds —
CLV +0.0%
Final Result Bayer Leverkusen W win · Bayer Leverkusen W 3–2 Werder Bremen W
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 PRE1 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Draw (1X2), Werder Bremen W (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 19.9 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Bayer Leverkusen W (1X2) 41.9 53.8 -12.0
Draw (1X2) 28.9 23.6 +5.3
Werder Bremen W (1X2) 29.2 22.6 +6.7
Over 2.5 goals 41.7 61.6 -19.9
Under 2.5 goals 58.3 38.4 +19.9
What this means

In plain terms: the model lands near 58.3% on Under 2.5 goals, while the closing snapshot implied about 38.4%. The difference — about 19.9 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)
Bayer Leverkusen W (1X2) 1.7 1.7 0.0
Draw (1X2) 3.88 3.88 0.0
Werder Bremen W (1X2) 4.05 4.05 0.0
Over 2.5 goals 1.51 1.51 0.0
Under 2.5 goals 2.42 2.42 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: Frauen Bundesliga
  • Fixture: Bayer Leverkusen W vs Werder Bremen W
  • Kickoff: 2026-10-02 16:30:00
  • 1X2 (model): Home 41.9% · Draw 28.9% · Away 29.2%
  • xG (showing): Bayer Leverkusen W 1.22 — Werder Bremen W 1.13 (total xG ≈ 2.35)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 58.3% · Implied: 39.4% · Probability edge: +18.9 pts · Est. EV: +43.4%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

Use the cards for tiering; this text only restates the same inputs in narrative form.

Early match state can move realised goals away from pre-kick projections.

Historical Recommendation

Historical Decision: 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

October 05, 2026 (UTC)

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Back to Statistics
Frauen Bundesliga Frauen Bundesliga — Standings
# TEAM MP W D L PTS
1 Bayern Munich W 5 5 0 0 15
2 Eintracht Frankfurt W 5 4 1 0 13
3 VfL Wolfsburg W 5 4 0 1 12
4 Werder Bremen W 5 3 1 1 10
5 FC Koln W 5 3 0 2 9
6 Bayer Leverkusen W 5 3 0 2 9
7 Stuttgart 5 2 2 1 8
8 SC Freiburg W 5 2 1 2 7
9 Hamburger SV W 5 1 2 2 5
10 RB Leipzig W 5 1 1 3 4
11 1899 Hoffenheim W 5 1 0 4 3
12 Union Berlin W 5 1 0 4 3
13 Nürnberg 5 0 2 3 2
14 Mainz 05 5 0 0 5 0
# TEAM MP GS GC +/- PTS
1 Bayern Munich W 5 18 6 +12 15
2 VfL Wolfsburg W 5 16 7 +9 12
3 Eintracht Frankfurt W 5 11 5 +6 13
4 FC Koln W 5 10 7 +3 9
5 Bayer Leverkusen W 5 9 7 +2 9
6 Werder Bremen W 5 8 5 +3 10
7 Hamburger SV W 5 8 6 +2 5
8 Stuttgart 5 8 8 0 8
9 Nürnberg 5 8 19 -11 2
10 SC Freiburg W 5 7 7 0 7
11 1899 Hoffenheim W 5 6 10 -4 3
12 RB Leipzig W 5 5 9 -4 4
13 Union Berlin W 5 4 11 -7 3
14 Mainz 05 5 3 14 -11 0
# TEAM MP xG xGC +/- PTS
1 Bayern Munich W 5 3.8 0.9 +2.9 15
2 Union Berlin W 5 0.8 1.0 -0.2 3
3 Mainz 05 5 0.2 2.7 -2.5 0
4 Eintracht Frankfurt W 5 — — — 13
5 VfL Wolfsburg W 5 — — — 12
6 Werder Bremen W 5 — — — 10
7 FC Koln W 5 — — — 9
8 Bayer Leverkusen W 5 — — — 9
9 Stuttgart 5 — — — 8
10 SC Freiburg W 5 — — — 7
11 Hamburger SV W 5 — — — 5
12 RB Leipzig W 5 — — — 4
13 1899 Hoffenheim W 5 — — — 3
14 Nürnberg 5 — — — 2