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Ekstraklasa
Rakow
S S S U S
1–1
Full-time
Slask Wroclaw
U T U 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

Rakow Slask Wroclaw
Last 6 — all competitions · 6/6 matches
Win Ø 42%
67%
17%
Points per game
2,3
0,8
Over 2.5 Ø 25%
17%
33%
Both score Ø 42%
50%
33%
Average goals
2,0
1,5
Scored
1,5
0,5
Conceded
0,5
1,0
Goal diff per game
+1,0
-0,5
This season — Ekstraklasa · 27/27 matches
Win Ø 43%
59%
26%
Points per game
2,0
1,1
Over 2.5 Ø 56%
56%
56%
Both score Ø 56%
48%
63%
Average goals
2,7
2,7
Scored
1,8
1,3
Conceded
0,9
1,4
Goal diff per game
+0,9
-0,2
🔒 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 Rakow 3. · Slask Wroclaw 15.
# Team K V U T +/− P
1 Lech Poznan 28 16 8 4 +34 56
2 Pogon Szczecin 28 16 8 4 +30 56
3 Rakow 27 16 7 4 +23 55
4 Lechia Gdansk 28 13 7 8 +11 46
5 Radomiak Radom 27 10 12 5 +7 42
6 Wisla Plock 28 13 3 12 +1 42
7 Piast Gliwice 28 11 8 9 +5 41
8 Gornik Zabrze 28 10 7 11 -1 37
9 Legia 28 11 3 14 -3 36
10 Cracovia 28 9 8 11 -4 35
11 Warta Poznan 28 8 9 11 -4 33
12 Stal Mielec 28 8 9 11 -7 33
13 Jagiellonia 27 8 9 10 -10 33
14 Zaglebie 28 9 4 15 -18 31
15 Slask Wroclaw 27 7 9 11 -5 30
16 Wisla 28 7 7 14 -13 28
17 Nieciecza 28 5 9 14 -21 24
18 Leczna 28 5 9 14 -25 24

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.