Statistics / Football / Germany. Frauen Bundesliga / Union Berlin W vs RB Leipzig W

Union Berlin W vs RB Leipzig W Statistics & Analysis

Union Berlin W Union Berlin W
Sep 20, 2026 - 16:30
3 0.92
2 0.88
xG Accuracy: 42%
RB Leipzig W RB Leipzig W
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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 (5 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 draw Union Berlin W ✖ Incorrect
  • Correct Score Insights 0-0, 1-0, 0-1, 1-1, 2-0 3-2 ✖ Incorrect

Validation Report

Immutable Snapshot

Prediction Time: Sep 14, 2026 · 02:31 UTC Snapshot ID: dp-8692415

Closing Odds 1.88
AI Fair Odds —
CLV +0.0%
Final Result Union Berlin W win · Union Berlin W 3–2 RB Leipzig W
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 Draw (1X2), RB Leipzig 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 32.3 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Union Berlin W (1X2) 32.9 48.6 -15.7
Draw (1X2) 36.4 25.1 +11.2
RB Leipzig W (1X2) 30.8 26.3 +4.5
Over 2.5 goals 26.9 59.2 -32.3
Under 2.5 goals 73.1 40.8 +32.3
What this means

In plain terms: the model lands near 73.1% on Under 2.5 goals, while the closing snapshot implied about 40.8%. The difference — about 32.3 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)
Union Berlin W (1X2) 1.88 1.88 0.0
Draw (1X2) 3.64 3.64 0.0
RB Leipzig W (1X2) 3.48 3.48 0.0
Over 2.5 goals 1.57 1.57 0.0
Under 2.5 goals 2.28 2.28 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: Union Berlin W vs RB Leipzig W
  • Kickoff: 2026-09-20 16:30:00
  • 1X2 (model): Home 32.9% · Draw 36.4% · Away 30.8%
  • xG (showing): Union Berlin W 0.92 — RB Leipzig W 0.88 (total xG ≈ 1.8)
  • Best +EV line (same label as hero card when Primary thresholds are not met): Under 2.5 goals
  • Model: 73.1% · Implied: 40.9% · Probability edge: +32.2 pts · Est. EV: +75.4%
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

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

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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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
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