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Ekstraklasa
Wisla
S U T T U
1–3
Full-time
Slask Wroclaw
T U T T S

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

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

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Team trends

Wisla Slask Wroclaw
Last 6 — all competitions · 6/6 matches
Win Ø 25%
33%
17%
Points per game
1,3
0,8
Over 2.5 Ø 50%
33%
67%
Both score Ø 67%
67%
67%
Average goals
2,2
2,8
Scored
1,0
1,3
Conceded
1,2
1,5
Goal diff per game
-0,2
-0,2
This season — Ekstraklasa · 1/1 matches
Win Ø 50%
0%
100%
Points per game
1,0
3,0
Over 2.5 Ø 0%
0%
0%
Both score Ø 50%
100%
0%
Average goals
2,0
2,0
Scored
1,0
2,0
Conceded
1,0
0,0
Goal diff per game
+0,0
+2,0
🔒 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 9. · Slask Wroclaw 3.
# Team K V U T +/− P
1 Gornik Zabrze 2 2 0 0 +4 6
2 Zaglebie 2 2 0 0 +2 6
3 Slask Wroclaw 1 1 0 0 +2 3
4 Rakow 2 1 0 1 +1 3
5 Legia 1 1 0 0 +1 3
6 Cracovia 1 1 0 0 +1 3
7 Lechia Gdansk 2 1 0 1 -1 3
8 Jagiellonia 1 0 1 0 +0 1
9 Wisla 1 0 1 0 +0 1
10 Wisla Plock 1 0 1 0 +0 1
11 Stal Mielec 2 0 1 1 -2 1
12 Lech Poznan 1 0 0 1 -1 0
13 Pogon Szczecin 1 0 0 1 -1 0
14 Podbeskidzie 1 0 0 1 -2 0
15 Piast Gliwice 1 0 0 1 -2 0
16 Warta Poznan 2 0 0 2 -2 0

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.