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Ekstraklasa
Wisla
U T S S U
1–2
Full-time
Rakow
S S S S T

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 Rakow
Last 6 — all competitions · 6/6 matches
Win Ø 50%
33%
67%
Points per game
1,5
2,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 42%
50%
33%
Average goals
2,5
2,3
Scored
1,5
1,3
Conceded
1,0
1,0
Goal diff per game
+0,5
+0,3
This season — Ekstraklasa · 2/2 matches
Win Ø 50%
50%
50%
Points per game
2,0
1,5
Over 2.5 Ø 100%
100%
100%
Both score Ø 50%
50%
50%
Average goals
3,5
4,0
Scored
2,5
1,5
Conceded
1,0
2,5
Goal diff per game
+1,5
-1,0
🔒 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 5. · Rakow 12.
# Team K V U T +/− P
1 Jagiellonia 3 2 1 0 +4 7
2 Lech Poznan 3 2 1 0 +4 7
3 Pogon Szczecin 3 2 1 0 +3 7
4 Warta Poznan 3 1 2 0 +4 5
5 Wisla 2 1 1 0 +3 4
6 Radomiak Radom 2 1 1 0 +2 4
7 Slask Wroclaw 2 1 1 0 +1 4
8 Lechia Gdansk 2 1 1 0 +1 4
9 Piast Gliwice 3 1 0 2 +0 3
10 Zaglebie 2 1 0 1 -1 3
11 Legia 2 1 0 1 -1 3
12 Rakow 2 1 0 1 -2 3
13 Gornik Zabrze 3 1 0 2 -3 3
14 Nieciecza 3 0 2 1 -1 2
15 Cracovia 3 0 1 2 -3 1
16 Stal Mielec 3 0 1 2 -3 1
17 Leczna 3 0 1 2 -6 1
18 Wisla Plock 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.