← Match Finder
Ekstraklasa
Referee: L Kuźma
Slask Wroclaw
T U T U T
1–2
Full-time

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

🔒 Who wins? Pro

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

Unlock with Pro

Already have an account? Log in

Team trends

Slask Wroclaw Radomiak Radom
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,3
0,8
Over 2.5 Ø 33%
33%
33%
Both score Ø 42%
33%
50%
Average goals
2,0
2,0
Scored
0,5
0,7
Conceded
1,5
1,3
Goal diff per game
-1,0
-0,7
xG created Pro
xG conceded Pro
xG diff Pro
This season — Ekstraklasa · 17/17 matches
Win Ø 18%
6%
29%
Points per game
0,6
1,0
Over 2.5 Ø 44%
35%
53%
Both score Ø 53%
47%
59%
Average goals
2,3
2,7
Scored
0,8
1,2
Conceded
1,5
1,5
Goal diff per game
-0,8
-0,2
xG created Pro
xG conceded Pro
xG diff Pro
🔒 Goal markets Pro

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

Unlock with Pro

Already have an account? Log in

🔒 Most likely result Pro

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

Unlock with Pro

Already have an account? Log in

Match stats

Half-time score: 1–0

0,54 xG 2,50
50% Possession 50%
8 Shots 10
2 Shots on target 3
3 Blocked shots 3
1 Goalkeeper saves 2
5 Corners 6
4 Offside 1
15 Free kicks against 18
4 Yellow cards 5
1 Red cards 0
The table before the match Slask Wroclaw 18. · Radomiak Radom 16.
# Team K V U T +/− xG +/− P
1 Lech Poznan 18 12 2 4 +19 +11.1 38
2 Rakow 18 10 6 2 +14 +10.4 36
3 Jagiellonia 18 10 5 3 +7 -1.1 35
4 Legia 18 9 5 4 +13 +8.9 32
5 Cracovia 18 9 4 5 +8 -0.6 31
6 Gornik Zabrze 18 9 3 6 +6 +4.4 30
7 Motor Lublin 18 8 4 6 -3 -1.6 28
8 Pogon Szczecin 18 8 3 7 +4 +7.3 27
9 Widzew Lodz 18 7 4 7 -1 -2.6 25
10 GKS Katowice 18 6 5 7 +2 +0.2 23
11 Piast Gliwice 18 5 7 6 +0 -2.6 22
12 Stal Mielec 18 5 4 9 -5 +5.3 19
13 Zaglebie 18 5 4 9 -11 -5.3 19
14 Puszcza 18 4 6 8 -9 -11.0 18
15 Korona Kielce 18 4 6 8 -12 -3.1 18
16 Radomiak Radom 17 5 2 10 -4 -1.5 17
17 Lechia Gdansk 18 3 5 10 -15 -16.1 14
18 Slask Wroclaw 17 1 7 9 -13 -2.1 10

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.

Match report

Slask Wroclaw Radomiak Radom
Yegor Matsenko 🟨
7′
7′
🟨 Damian Jakubik
Peter Pokorný 🟨
15′
31′
🟨 Raphael Rossi
0–1 Bruno Jordão
own goal
32′
Serafin Szota 🟨
36′
40′
🟨 Rafał Wolski
Simeon Petrov ℹ️
VAR: Penalty confirmed
42′
Half-time 0–1
46′
🔁 Chico Ramos
↦ Guilherme Zimovski
47′
J. Grzesik 0–2
M. Bartolewski 🔁
↦ Y. Matsenko
52′
Arnau Ortiz 🔁
↦ S. Szota
61′
J. Jezierski 🔁
↦ S. Jasper
61′
61′
🔁 M. Kaput
↦ Bruno Jordão
62′
J. Grzesik 0–3
R. Wolski
69′
🟨 Christos Donis
Y. Sharabura 🔁
↦ M. Żukowski
75′
S. Musiolik 🔁
↦ B. Ince
76′
77′
🔁 R. Cielemęcki
↦ D. Jakubik
93′
🔁 D. Banach
↦ R. Wolski
Peter Pokorný 🟨
94′
Peter Pokorný 🟥
94′
96′
🟨 Francisco Ramos
Full-time 0–3

Line-ups

Slask Wroclaw

4-1-4-1
1 T. Loska G
3 S. Szota D
2 A. Paluszek D
87 S. Petrov D
33 Y. Matsenko D
16 P. Pokorný M
26 B. Ince M
17 P. Schwarz M
23 S. Jasper M
22 M. Żukowski M
10 J. Świerczok F
Bench (9)
14 M. Bartolewski
19 Arnau Ortiz
29 J. Jezierski
24 Y. Sharabura
11 S. Musiolik
12 R. Leszczyński
6 Ł. Gerstenstein
28 H. Muszyński
21 T. Băluță

Coach: M. Hetel

Radomiak Radom

4-1-4-1
1 M. Kikolski G
14 D. Jakubik D
29 Raphael Rossi D
8 Luizão D
23 Paulo Henrique D
77 C. Donis M
13 J. Grzesik M
10 R. Alves M
6 Bruno Jordão M
99 Guilherme Zimovski M
27 R. Wolski F
Bench (9)
88 Chico Ramos
28 M. Kaput
20 R. Cielemęcki
15 D. Banach
9 Leândro
44 W. Koptas
3 Wu Shaocong
19 J. Sarmiento
5 D. Pawłowski

Coach: Bruno Baltazar

Odds comparison

Green columns are the outcomes that came in.

1X2
H
U
B ✓
Over/under goals
O1,5 ✓
O2,5 ✓
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

L Kuźma · 72 kamper i vår database

🟨 Yellow cards
4,4 / match
Average
⚽ Free kicks
25,7 / match
Average

🟥 Red cards: 0,22 per match

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