Statistics / Football / Poland. Ekstraliga Women / Pogon Szczecin W vs Slask Wroclaw W

Pogon Szczecin W vs Slask Wroclaw W Statistics & Analysis

May 30, 2026 - 09:30
1 1.45
0 1.25
xG Accuracy: 63%
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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 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Pogon Szczecin W Pogon Szczecin W ✔ Correct
  • Correct Score Insights 2-1, 1-1, 3-1, 2-0, 2-2 1-0 ✖ Incorrect

AI match briefing

AI Match Summary

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

  • League: Ekstraliga Women
  • Fixture: Pogon Szczecin W vs Slask Wroclaw W
  • Kickoff: 2026-05-30 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Pogon Szczecin W 1.45 — Slask Wroclaw 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 31.2% · Over 2.5 68.8%); BTTS Yes (Yes 53.1% · No 46.9%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 53.1% · No 46.9%
  • Correct score (top bin): 2-1 (9.3%)

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.

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.

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.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

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.

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.

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.

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

June 08, 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
Ekstraliga Women Ekstraliga WomenStandings
# TEAM MP W D L PTS
1 Czarni Sosnowiec W 22 18 2 2 56
2 Pogon Szczecin W 22 16 3 3 51
3 GKS Katowice W 22 15 3 4 48
4 Górnik Łęczna W 22 15 2 5 47
5 UKS Łódź W 22 8 5 9 29
6 Rekord Bielsko-Biala W 22 8 4 10 28
7 Slask Wroclaw W 22 8 2 12 26
8 Lech Poznan W 22 7 5 10 26
9 UJ Krakow W 22 6 6 10 24
10 Akademia Piłkarska LG W 22 7 2 13 23
11 Stomilanki Olsztyn W 22 3 2 17 11
12 Pogon Tczew W 22 1 4 17 7
# TEAM MP GS GC +/- PTS
1 Czarni Sosnowiec W 22 68 18 +50 56
2 Pogon Szczecin W 22 60 18 +42 51
3 GKS Katowice W 22 51 26 +25 48
4 Górnik Łęczna W 22 49 20 +29 47
5 Slask Wroclaw W 22 39 33 +6 26
6 UKS Łódź W 22 35 35 0 29
7 Rekord Bielsko-Biala W 22 29 34 -5 28
8 Lech Poznan W 22 29 46 -17 26
9 UJ Krakow W 22 26 37 -11 24
10 Akademia Piłkarska LG W 22 24 45 -21 23
11 Stomilanki Olsztyn W 22 23 70 -47 11
12 Pogon Tczew W 22 15 66 -51 7