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Ekstraklasa
Referee: P Lasyk
Jagiellonia
S S U S S
3–1
Full-time
Korona Kielce
T U T S T

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.

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Team trends

Jagiellonia Korona Kielce
Last 6 — all competitions · 6/6 matches
Win Ø 58%
83%
33%
Points per game
2,7
1,2
Over 2.5 Ø 33%
33%
33%
Both score Ø 42%
50%
33%
Average goals
2,3
2,7
Scored
1,8
1,0
Conceded
0,5
1,7
Goal diff per game
+1,3
-0,7
xG created Pro
xG conceded Pro
xG diff Pro
This season — Ekstraklasa · 12/12 matches
Win Ø 46%
67%
25%
Points per game
2,1
1,0
Over 2.5 Ø 42%
50%
33%
Both score Ø 42%
50%
33%
Average goals
3,3
2,3
Scored
1,8
0,8
Conceded
1,5
1,5
Goal diff per game
+0,3
-0,8
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.

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🔒 Most likely result Pro

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

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Match stats

Half-time score: 1–0

58% Possession 42%
8 Shots 17
5 Shots on target 8
0 Blocked shots 2
7 Goalkeeper saves 2
3 Corners 5
2 Offside 1
18 Free kicks against 14
1 Yellow cards 2
0 Red cards 0
The table before the match Jagiellonia 4. · Korona Kielce 15.
# Team K V U T +/− xG +/− P
1 Lech Poznan 13 10 1 2 +17 +7.7 31
2 Rakow 13 8 3 2 +12 +9.3 27
3 Cracovia 13 8 2 3 +9 +0.3 26
4 Jagiellonia 12 8 1 3 +3 -1.4 25
5 Pogon Szczecin 13 7 1 5 +4 +3.7 22
6 Legia 12 5 4 3 +8 +7.8 19
7 Widzew Lodz 12 5 4 3 +2 -1.1 19
8 Piast Gliwice 13 5 4 4 +2 +0.2 19
9 GKS Katowice 12 4 4 4 +5 +1.5 16
10 Gornik Zabrze 12 4 3 5 +1 +2.1 15
11 Motor Lublin 13 4 3 6 -8 -4.0 15
12 Zaglebie 13 4 3 6 -8 -3.4 15
13 Radomiak Radom 12 4 0 8 -3 +0.3 12
14 Stal Mielec 13 3 3 7 -6 +0.7 12
15 Korona Kielce 12 3 3 6 -9 -5.0 12
16 Lechia Gdansk 13 2 4 7 -10 -9.7 10
17 Slask Wroclaw 12 1 6 5 -7 -0.3 9
18 Puszcza 13 1 5 7 -12 -8.7 8

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H ✓
U
B
Over/under goals
O1,5 ✓
O2,5 ✓
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

P Lasyk · 88 kamper i vår database

🟨 Yellow cards
3,9 / match
Average
⚽ Free kicks
24,4 / match
Average

🟥 Red cards: 0,13 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.