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

Prediction Audit: Union Berlin W vs RB Leipzig W Prediction, Odds & AI Betting Tips

Sep 20, 2026 - 16:30
3 0.92
2 0.88
xG Accuracy: 42%

The model missed the final outcome (Union Berlin W win 3–2).

The model had projected Draw at 36.4%, but the full-time result went the other way.

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 (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

Model vs Closing Market

Strong Disagreement

The closing market prices Union Berlin W higher than the statistical model.

Largest probability gap: Union Berlin W -15.7 pp

Outcome Model Closing Market Difference Signal
Union Berlin W 32.9% 48.6% -15.7 pp Market Higher
Draw 36.4% 25.1% +11.2 pp Model Edge
RB Leipzig W 30.7% 26.3% +4.5 pp Aligned

The closing market estimates Union Berlin W's win probability at 48.6%, compared with the model's estimate of 32.9%, a difference of 15.7 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: PRE1.

After full time, the result was Union Berlin W win 3–2.

Market Assessment

The market is materially more optimistic about Union Berlin W than the current fair estimate.

  • Investors may be incorporating information not fully reflected in the baseline model.
  • Tournament-specific context can shift market pricing.

Post Match Insights

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 (5 goals)

Market lesson

The closing market differed from the model on Draw by 15.7 percentage points (52.1% vs model 36.4%) — in this case the market view proved closer.

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Prediction Timeline

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

  1. Sep 20, 2026 · 19:38 UTC Forecast generated
    • Model 1X2 · Union Berlin W 32.9% · Draw 36.4% · RB Leipzig W 30.8%
    • xG · Union Berlin W 0.92 — RB Leipzig W 0.88
  2. Sep 20, 2026 · 16:01 UTC Opening odds snapshot PRE30
    • 1X2 odds · Union Berlin W 1.88 · Draw 3.64 · RB Leipzig W 3.48
    • Implied 1X2 · Union Berlin W 48.6% · Draw 25.1% · RB Leipzig W 26.3%
    • Bookmaker · Pinnacle
  3. Sep 20, 2026 · 16:30 UTC Closing snapshot recorded PRE1
    • 1X2 odds · Union Berlin W 1.88 · Draw 3.64 · RB Leipzig W 3.48
    • Implied 1X2 · Union Berlin W 48.6% · Draw 25.1% · RB Leipzig W 26.3%
    • Bookmaker · Pinnacle
  4. Sep 20, 2026 · 16:30 UTC Kickoff
  5. FT Full-time result Union Berlin W win · 3–2
  6. FT Prediction missed 1X2 lean did not match full-time result
  7. Archived Prediction review

Historical Snapshot

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

Historical verdict: Monitor
Historical Decision Monitor
Outcome Missed
Pre-match metrics (historical context)
Prediction Reliability 55/100 · Moderate
  • Validation: Warning
  • Large market gap (16 pp)
Evidence ★★★★★
  • No strong statistical edge
  • Pricing remains divergent
  • Validation warning
Pricing proximity (inverse gap) 7/100
Monitoring Confidence 19/100

Validation Report

Immutable Snapshot

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

Closing Odds 1.88
AI Fair Odds —
CLV Pending
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%

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

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 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Union Berlin W 0.92 — RB Leipzig W 0.88 (total xG ≈ 1.8)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): See the Over/Under and BTTS cards for any directional lean text.
  • BTTS (model): Yes N/A · No N/A
  • Correct score (top bin): N/A

The decision block shows no default Primary: Primary needs consensus EV ≥ +5.0% plus strength/reliability/calibration gates. A separate Lean/tracked gate is +2.0% (selective only). Lean labels are directional only — not bankroll-sized recommendations.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Historical Recommendation

Historical Decision: Monitor

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 30, 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