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Ekstraklasa
Jagiellonia
U T T T S
0–1
Full-time
Slask Wroclaw
T S T U U

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

Jagiellonia Slask Wroclaw
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
0,8
1,0
Over 2.5 Ø 25%
33%
17%
Both score Ø 50%
50%
50%
Average goals
2,3
1,5
Scored
0,8
0,7
Conceded
1,5
0,8
Goal diff per game
-0,7
-0,2
This season — Ekstraklasa · 22/22 matches
Win Ø 36%
36%
36%
Points per game
1,3
1,4
Over 2.5 Ø 43%
50%
36%
Both score Ø 50%
55%
45%
Average goals
2,9
2,1
Scored
1,3
1,1
Conceded
1,6
1,0
Goal diff per game
-0,3
+0,1
🔒 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 Jagiellonia 13. · Slask Wroclaw 8.
# Team K V U T +/− P
1 Legia 23 16 3 4 +21 51
2 Pogon Szczecin 23 12 5 6 +11 41
3 Rakow 22 10 7 5 +10 37
4 Piast Gliwice 23 9 7 7 +6 34
5 Lechia Gdansk 22 10 3 9 +4 33
6 Gornik Zabrze 23 9 5 9 +2 32
7 Warta Poznan 23 10 2 11 +0 32
8 Slask Wroclaw 22 8 6 8 +3 30
9 Lech Poznan 23 7 8 8 +1 29
10 Zaglebie 22 8 5 9 -2 29
11 Wisla 23 7 7 9 +2 28
12 Cracovia 23 6 10 7 -4 28
13 Jagiellonia 22 8 4 10 -6 28
14 Wisla Plock 23 6 7 10 -8 25
15 Podbeskidzie 23 5 6 12 -25 21
16 Stal Mielec 22 4 7 11 -15 19

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.