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Poland Ekstraliga Women · PL

AZS UJ Krakow (W) vs Lech Poznan UAM (W)

21 Oct 2026 · 19:00
FOOTBALL MATCH INTELLIGENCE · MATCH OVERVIEW

The Visitors’ Recent Results

The visitors have lost their last 2 matches.

For the visitors, accuracy was lower in the latest two complete-data matches (23.5% versus 40.3% in the earlier complete-data matches).

Across 5 matches with complete shooting data, the home side averaged 8.2 shots per match and conceded 11 goals in that sample. Across 6 such matches, the visitors averaged 16.0 shots per match and conceded 20 goals.

In recent matches with recorded scores, the home side averaged 1.67 goals per match, against a weighted league reference of 1.79. The visitors averaged 1.17 goals per match, against their weighted league reference of 1.79.

Model & Market Perspective

The largest positive model-market difference concerns an away win for Lech Poznan UAM (W). StochasticBet assigns this outcome a probability of 29.8%, compared with 27.8% in the margin-adjusted Pinnacle market assessment (a difference of +2.1 percentage points).

Across recent matches with recorded shooting data, AZS UJ Krakow (W) averaged 8.2 shots per match and Lech Poznan UAM (W) averaged 16.0. The visitors' higher shooting volume offers some support for the model-market difference. However, the home side have conceded fewer goals in their recent matches, which calls for caution.

Pre-Match Betting Perspective

Despite the positive model-market difference, the available Pinnacle pre-match reference odds of 3.20 do not exceed the model's estimated fair odds of approximately 3.35. At this price, an away win for Lech Poznan UAM (W) does not appear sufficiently attractive. A more favourable price before kick-off would be needed.

Statistical Context & Data Notes

Historical samples may involve different opponents, competitions and dates; shared fixtures are not independent. Missing shooting data are excluded. No xG, shot-quality or opponent-strength adjustment. Editorial selection thresholds are not significance tests; no prediction is implied.

Historical performance provides context rather than a prediction of the final result.

FOOTBALL MATCH INTELLIGENCE

Model vs Market

MARKET · PINNACLE
HOME
AZS UJ Krakow (W)
STOCHASTICBET 46.9%
PINNACLE 49.2% odd 1.81
DIFFERENCE -2.3 pp
DRAW
Draw
STOCHASTICBET 23.2%
PINNACLE 23.0% odd 3.86
DIFFERENCE +0.2 pp
AWAY MODEL > MARKET
Lech Poznan UAM (W)
STOCHASTICBET 29.8%
PINNACLE 27.8% odd 3.20
DIFFERENCE +2.1 pp
STOCHASTICBET
PINNACLE MARKET
Market · PINNACLE Snapshot · 21 Oct 2026 · 11:11
PERFORMANCE · LAST 4 MATCHES

Attacking Edge: Lech Poznan UAM (W)

The away side shows the stronger recent attacking profile, while the defensive comparison is less clear.

Attack Recent attacking output
AZS UJ Krakow (W) Lech Poznan UAM (W)
Shots 6.3 · On target 3.3 Shots 16.3 · On target 5.5

Recent attacking output favours Lech Poznan UAM (W), combining shots and shots on target.

Defence Recent defensive resistance
AZS UJ Krakow (W) Lech Poznan UAM (W)
Shots allowed 13.0 · On target allowed 6.5 Shots allowed 14.5 · On target allowed 6.5

Recent defensive numbers are broadly balanced between the two teams.

Overall Performance Combined attack and defence
AZS UJ Krakow (W) Lech Poznan UAM (W)

The combined recent performance profile favours Lech Poznan UAM (W).

Based on the teams' four most recent matches in the available data.

Market Momentum

Normalized implied probability movement · percentage points · as of 2026-10-21 15:33:02

6h window

OutcomePinnacleBet365
HOME +0.00 pp -0.07 pp
DRAW +0.00 pp -0.75 pp
AWAY +0.00 pp +0.81 pp

No qualified strong agreement in this window.

24h window

OutcomePinnacleBet365
HOME — -1.69 pp
DRAW — +0.02 pp
AWAY — +1.67 pp

No qualified strong agreement in this window.

Based on available observation endpoints; continuous coverage is not verified. Unavailable values are not zero movements. Market movement is descriptive, not a prediction.

Explore recent match statisticsCharts and detailed data
RECENT FORM · LAST 6 MATCHES

Recent matches compared

These charts compare recent performance with the league average. The central line represents the benchmark: values to the right are higher and values to the left are lower. Higher values are not always better, particularly for defensive metrics.
Benchmark: Poland Ekstraliga Women · 78 matches with scores · 72 with shots · coverage 92.3%.
Historical window: 180 days before kickoff. Shooting benchmarks require at least 30 complete matches.

How have the teams performed recently?

Most recent first · W win · D draw · L loss

AZS UJ Krakow (W)6 matches · 3 home / 3 away
LWWLDL
Shot data available for 5/6 matches
Lech Poznan UAM (W)6 matches · 3 home / 3 away
LLDLLL
Shot data available for 6/6 matches

Shots taken

Shots per match · difference from league average

0 = league average
AZS UJ Krakow (W)Home team
−2.38.2 actual
Lech Poznan UAM (W)Away team
+5.616.0 actual
AZS UJ Krakow (W): 8.2 · league average 10.5 · 5 valid matchesLech Poznan UAM (W): 16.0 · league average 10.4 · 6 valid matches

Shots conceded

Opposition shots per match · difference from league average

0 = league average
AZS UJ Krakow (W)Home team
+3.513.8 actual
Lech Poznan UAM (W)Away team
+4.815.2 actual
AZS UJ Krakow (W): 13.8 · league average 10.3 · 5 valid matchesLech Poznan UAM (W): 15.2 · league average 10.4 · 6 valid matches

Shots on target

Shots on target per match · difference from league average

0 = league average
AZS UJ Krakow (W)Home team
−0.63.6 actual
Lech Poznan UAM (W)Away team
+1.35.5 actual
AZS UJ Krakow (W): 3.6 · league average 4.2 · 5 valid matchesLech Poznan UAM (W): 5.5 · league average 4.2 · 6 valid matches

Shots on target conceded

Opposition shots on target per match · difference from league average

0 = league average
AZS UJ Krakow (W)Home team
+2.56.6 actual
Lech Poznan UAM (W)Away team
+2.87.0 actual
AZS UJ Krakow (W): 6.6 · league average 4.1 · 5 valid matchesLech Poznan UAM (W): 7.0 · league average 4.2 · 6 valid matches

Goals scored

Goals per match · difference from league average

0 = league average
AZS UJ Krakow (W)Home team
−0.121.67 actual
Lech Poznan UAM (W)Away team
−0.621.17 actual
AZS UJ Krakow (W): 1.67 · league average 1.79 · 6 valid matchesLech Poznan UAM (W): 1.17 · league average 1.79 · 6 valid matches

Shot conversion

Goals per shot · difference from league average in percentage points

0 = league average
AZS UJ Krakow (W)Home team
+4.9 pp22.0% actual
Lech Poznan UAM (W)Away team
−9.9 pp7.3% actual
AZS UJ Krakow (W): 22.0% · league average 17.1% · 5 valid matchesLech Poznan UAM (W): 7.3% · league average 17.2% · 6 valid matches

Goals conceded per shots faced

Goals conceded per opposition shot · difference from league average in percentage points

0 = league average
AZS UJ Krakow (W)Home team
−1.3 pp15.9% actual
Lech Poznan UAM (W)Away team
+4.8 pp22.0% actual
AZS UJ Krakow (W): 15.9% · league average 17.2% · 5 valid matchesLech Poznan UAM (W): 22.0% · league average 17.2% · 6 valid matches

Individual match details

AZS UJ Krakow (W) · individual matches
DateVenueResultShots for/againstOn target for/against
18/10/2026Away0–31 / 90 / 5
04/10/2026Home4–110 / 206 / 8
04/10/2026Home4–19 / 186 / 8
27/09/2026Away0–25 / 51 / 5
22/08/2026Away1–1——
16/08/2026Home1–416 / 175 / 7
Lech Poznan UAM (W) · individual matches
DateVenueResultShots for/againstOn target for/against
17/10/2026Home1–315 / 134 / 4
03/10/2026Away1–319 / 144 / 7
27/09/2026Away2–224 / 1110 / 7
22/08/2026Home0–37 / 204 / 8
15/08/2026Away3–419 / 218 / 8
08/08/2026Home0–512 / 123 / 8

The recent matches are the latest available before kickoff within the historical window and may include other competitions. The benchmark refers to the event league and is weighted by the home/away composition of the recent sample. Goals and shots may have different data coverage; conversion rates use only matches with paired observations. Benchmarks are reconstructed from match dates rather than certified data-capture timestamps. Opponent strength and chance quality (xG) are not adjusted for. Some statistics may be incomplete or anomalous. These indicators are descriptive, not predictive.