Statistics / Football / Germany. Frauen Bundesliga / Werder Bremen W vs Carl Zeiss Jena W

Werder Bremen W vs Carl Zeiss Jena W Statistics & Analysis

May 10, 2026 - 12:00
7 1.45
0 1.25
xG Accuracy: 15%
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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Over / Under 2.5 Under 2.5 Over 2.5 (7 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Werder Bremen W Werder Bremen W ✔ Correct
  • Correct Score Insights 1-1 7-0 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: Frauen Bundesliga
  • Fixture: Werder Bremen W vs Carl Zeiss Jena W
  • Kickoff: 2026-05-10 12:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Werder Bremen W 1.45 — Carl Zeiss Jena W 1.25 (total xG ≈ 2.7)
  • Value headline: At least one tracked line reaches the headline EV threshold — align with the hero / Primary card if shown.
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Under 2.5 (Under 2.5 39.0% · Over 2.5 61.0%); BTTS Yes (Yes 50.2% · No 49.8%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS No
  • BTTS (model): Yes 50.2% · No 49.8%
  • Correct score (top bin): 1-1 (10.0%)

The decision block shows no default bet: no tracked line clears the headline minimum +EV threshold at the best prices we have (a leg can still show small +EV below that bar). 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.

Best Bet + Reason

No bankroll-sized bet is implied here.

The cards may still show value leans (e.g. a preferred Under or a BTTS side) where prices are inefficient or incomplete — that is not the same as a positive-EV ticket at the configured threshold.

Stake sizing should default to zero when no headline +EV exists — experimentation belongs in the discretionary bucket only.

FAQ

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 17, 2026 (UTC)

How to use this
  • When there is no Primary line, compare the +EV rows in the market cards below (not only 1X2).
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Frauen Bundesliga Frauen BundesligaStandings
# TEAM MP W D L PTS
1 Bayern Munich W 25 23 2 0 71
2 VfL Wolfsburg W 25 17 4 4 55
3 Eintracht Frankfurt W 25 15 3 7 48
4 Bayer Leverkusen W 25 15 1 9 46
5 1899 Hoffenheim W 25 14 3 8 45
6 Werder Bremen W 25 11 7 7 40
7 FC Koln W 25 10 4 11 34
8 SC Freiburg W 25 10 3 12 33
9 Union Berlin W 25 8 6 11 30
10 RB Leipzig W 25 7 6 12 27
11 Nürnberg W 25 6 4 15 22
12 Hamburger SV W 25 4 6 15 18
13 SGS Essen W 25 3 6 16 15
14 Carl Zeiss Jena W 25 2 5 18 11
# TEAM MP GS GC +/- PTS
1 Bayern Munich W 25 89 9 +80 71
2 VfL Wolfsburg W 25 69 37 +32 55
3 Eintracht Frankfurt W 25 61 41 +20 48
4 1899 Hoffenheim W 25 48 30 +18 45
5 Bayer Leverkusen W 25 45 33 +12 46
6 SC Freiburg W 25 43 45 -2 33
7 Union Berlin W 25 40 47 -7 30
8 Werder Bremen W 25 39 35 +4 40
9 RB Leipzig W 25 39 48 -9 27
10 FC Koln W 25 33 37 -4 34
11 Nürnberg W 25 32 58 -26 22
12 Hamburger SV W 25 26 56 -30 18
13 Carl Zeiss Jena W 25 22 69 -47 11
14 SGS Essen W 25 21 62 -41 15