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Super League
Referee: Angelos Evangelou
Atromitos
U U T U S
1–2
Full-time
Kifisia
T S T U U

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

Atromitos Kifisia
Last 6 — all competitions · 6/6 matches
Win Ø 17%
17%
17%
Points per game
1,0
0,8
Over 2.5 Ø 50%
50%
50%
Both score Ø 75%
83%
67%
Average goals
2,7
2,8
Scored
1,3
1,3
Conceded
1,3
1,5
Goal diff per game
+0,0
-0,2
This season — Super League · 9/9 matches
Win Ø 22%
22%
22%
Points per game
1,0
1,0
Over 2.5 Ø 50%
44%
56%
Both score Ø 73%
67%
78%
Average goals
2,4
3,2
Scored
1,2
1,6
Conceded
1,2
1,7
Goal diff per game
+0,0
-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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Match stats

Half-time score: 0–0

57% Possession 43%
20 Shots 23
3 Shots on target 8
7 Blocked shots 7
6 Goalkeeper saves 2
3 Corners 9
5 Offside 0
5 Free kicks against 18
1 Yellow cards 4
0 Red cards 0
The table before the match Atromitos 10. · Kifisia 11.
# Team K V U T +/− P
1 PAOK 8 6 2 0 +9 20
2 Olympiakos 8 6 1 1 +13 19
3 AEK 8 5 1 2 +2 16
4 Volos NFC 10 5 0 5 -3 15
5 Levadeiakos 9 3 4 2 +9 13
6 Panathinaikos 9 3 4 2 +2 13
7 Aris Thessalonikis 8 3 3 2 -1 12
8 Aris 8 3 3 2 -1 12
9 Panetolikos 9 3 2 4 -4 11
10 Atromitos 9 2 3 4 +0 9
11 Kifisia 9 2 3 4 -1 9
12 OFI Crete 8 3 0 5 -4 9
13 Larisa 8 1 4 3 -4 7
14 Panserraikos 9 1 3 5 -10 6
15 Asteras Tripolis 8 0 3 5 -7 3

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
2,20
U
3,12
B ✓
3,16
Over/under goals
O1,5 ✓
O2,5 ✓
2,15
U2,5
1,64
U3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

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