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Ekstraklasa
Wisla
T U T U S
3–0
Full-time
Podbeskidzie
U T T S T

Retrospective analysis — the model is trained only on matches played before this one.

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
🔒 Who wins? Pro

The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Wisla Podbeskidzie
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,0
0,8
Over 2.5 Ø 75%
67%
83%
Both score Ø 59%
50%
67%
Average goals
3,2
3,5
Scored
1,7
1,2
Conceded
1,5
2,3
Goal diff per game
+0,2
-1,2
This season — Ekstraklasa · 6/7 matches
Win Ø 16%
17%
14%
Points per game
1,0
0,7
Over 2.5 Ø 77%
67%
86%
Both score Ø 61%
50%
71%
Average goals
3,2
3,9
Scored
1,7
1,3
Conceded
1,5
2,6
Goal diff per game
+0,2
-1,3
🔒 Goal markets Pro

Expected goals, over/under and both teams to score — priced by the model before kick-off.

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🔒 Most likely result Pro

The model's top final scores with the best bookmaker odds.

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The table before the match Wisla 13. · Podbeskidzie 14.
# Team K V U T +/− P
1 Rakow 7 5 1 1 +10 16
2 Zaglebie 8 4 2 2 +3 14
3 Gornik Zabrze 7 4 1 2 +5 13
4 Legia 6 4 0 2 +1 12
5 Jagiellonia 6 3 2 1 +2 11
6 Slask Wroclaw 7 3 1 3 +3 10
7 Pogon Szczecin 5 3 1 1 +2 10
8 Lechia Gdansk 7 3 1 3 +1 10
9 Cracovia 7 2 4 1 +0 10
10 Wisla Plock 8 2 3 3 -2 9
11 Lech Poznan 6 2 2 2 +2 8
12 Warta Poznan 6 2 1 3 +0 7
13 Wisla 6 1 3 2 +1 6
14 Podbeskidzie 7 1 2 4 -9 5
15 Stal Mielec 7 1 2 4 -10 5
16 Piast Gliwice 8 0 2 6 -9 2

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.