Zürich W vs Basel W Statistics & Analysis

Sep 13, 2026 - 14:30
1 1.23
1 1.37
xG Accuracy: 85%
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 Under 2.5 (2 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Basel W Draw ✖ Incorrect
  • Correct Score Insights 1-1, 0-1, 1-0, 1-2, 2-1 1-1 ✔ Correct

Validation Report

Immutable Snapshot

Prediction Time: Sep 07, 2026 · 01:50 UTC Snapshot ID: dp-7445443

Closing Odds Pending
AI Fair Odds
CLV Pending
Final Result Draw · Zürich W 1–1 Basel W
Prediction ✖ Missed
Decision Grade C

Model Performance

This prediction contributes to:

  • Primary Bets ROI (180d): -100.0%

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: AXA Women’s Super League
  • Fixture: Zürich W vs Basel W
  • Kickoff: 2026-09-13 14:30:00
  • 1X2 (model): Home 31.9% · Draw 29.6% · Away 38.5%
  • xG (showing): Zürich W 1.23 — Basel W 1.37 (total xG ≈ 2.6)
  • 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 Under 2.5 (Under 2.5 51.8% · Over 2.5 48.2%); BTTS Yes (Yes 54.4% · No 45.6%) Value lean (pricing): O/U 2.5 Under 2.5; BTTS Yes
  • BTTS (model): Yes 54.4% · No 45.6%
  • Correct score (top bin): 1-1 (12.5%)

Saying “no value” on a snapshot is a feature, not a bug: it protects readers from forcing a play when the edge is not there.

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

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 16, 2026 (UTC)

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Back to Statistics
AXA Women’s Super League AXA Women’s Super LeagueStandings
# TEAM MP W D L PTS
1 Servette Chênois W 6 5 0 1 15
2 Zürich W 6 4 2 0 14
3 Grasshopper W 6 3 2 1 11
4 Basel W 6 3 2 1 11
5 Luzern W 6 3 1 2 10
6 Young Boys W 6 2 3 1 9
7 Yverdon 6 1 1 4 4
8 Rapperswil Jona 6 1 1 4 4
9 St. Gallen W 6 1 1 4 4
10 Aarau 6 0 1 5 1
# TEAM MP GS GC +/- PTS
1 Zürich W 6 20 6 +14 14
2 Grasshopper W 6 15 6 +9 11
3 Servette Chênois W 6 15 8 +7 15
4 Young Boys W 6 10 8 +2 9
5 Luzern W 6 9 6 +3 10
6 Basel W 6 8 5 +3 11
7 Yverdon 6 8 11 -3 4
8 Rapperswil Jona 6 8 16 -8 4
9 St. Gallen W 6 6 14 -8 4
10 Aarau 6 4 23 -19 1