Statistics / Football / Germany. 2. Frauen Bundesliga / Andernach W vs SC Sand W

Andernach W vs SC Sand W Statistics & Analysis

May 10, 2026 - 12:00
1 1.45
1 1.25
xG Accuracy: 82%
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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 Over 2.5 Under 2.5 (2 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Andernach W Draw ✖ Incorrect
  • Correct Score Insights 1-1 1-1 ✔ Correct

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: 2. Frauen Bundesliga
  • Fixture: Andernach W vs SC Sand W
  • Kickoff: 2026-05-10 12:00:00
  • 1X2 (model): Home 10.0% · Draw 45.0% · Away 45.0%
  • xG (showing): Andernach W 1.45 — SC Sand W 1.25 (total xG ≈ 2.7)
  • 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): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 38.0% · Over 2.5 62.0%); BTTS Yes (Yes 62.0% · No 38.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 62.0% · No 38.0%
  • Correct score (top bin): 1-1 (10.2%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Best Bet + Reason

No bankroll-sized bet is implied here.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

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

FAQ

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.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

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
  • Focus on the Primary line when you want one actionable idea.
  • 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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Back to Statistics
2. Frauen Bundesliga 2. Frauen BundesligaStandings
# TEAM MP W D L PTS
1 Stuttgart W 25 17 6 2 57
2 Mainz 05 W 25 16 4 5 52
3 SC Sand W 25 16 4 5 52
4 Meppen W 25 14 4 7 46
5 Viktoria Berlin W 25 11 9 5 42
6 Ingolstadt W 25 11 2 12 35
7 Andernach W 25 9 8 8 35
8 Bochum W 25 9 5 11 32
9 Borussia Monchengladbach W 25 9 4 12 31
10 Eintracht Frankfurt II W 25 8 6 11 30
11 Turbine Potsdam W 25 9 3 13 30
12 Bayern München II W 25 8 3 14 27
13 Wolfsburg II W 25 6 1 18 19
14 Warbeyen W 25 1 3 21 6
# TEAM MP GS GC +/- PTS
1 Stuttgart W 25 79 31 +48 57
2 Mainz 05 W 25 72 29 +43 52
3 Meppen W 25 54 25 +29 46
4 SC Sand W 25 51 24 +27 52
5 Ingolstadt W 25 42 47 -5 35
6 Andernach W 25 41 40 +1 35
7 Viktoria Berlin W 25 39 20 +19 42
8 Bayern München II W 25 39 61 -22 27
9 Turbine Potsdam W 25 37 48 -11 30
10 Wolfsburg II W 25 37 73 -36 19
11 Eintracht Frankfurt II W 25 36 37 -1 30
12 Borussia Monchengladbach W 25 35 48 -13 31
13 Bochum W 25 32 38 -6 32
14 Warbeyen W 25 21 94 -73 6