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Super League
Larisa
U T T S T
0–0
Full-time
Aris
U T S U S

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

Larisa Aris
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,2
1,5
Over 2.5 Ø 67%
67%
67%
Both score Ø 75%
83%
67%
Average goals
3,0
3,3
Scored
1,3
2,0
Conceded
1,7
1,3
Goal diff per game
-0,3
+0,7
This season — Super League · 18/17 matches
Win Ø 37%
39%
35%
Points per game
1,4
1,5
Over 2.5 Ø 57%
61%
53%
Both score Ø 63%
61%
65%
Average goals
2,8
2,9
Scored
1,4
1,7
Conceded
1,4
1,2
Goal diff per game
-0,1
+0,5
🔒 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

7 Shots 5
4 Shots on target 0
6 Corners 4
16 Free kicks against 18
2 Yellow cards 3
0 Red cards 0
The table before the match Larisa 8. · Aris 6.
# Team K V U T +/− P
1 Olympiakos 18 13 5 0 +28 44
2 PAOK 19 12 5 2 +18 41
3 AEK 18 9 5 4 +10 32
4 OFI Crete 19 8 3 8 +7 27
5 Xanthi 19 8 2 9 -7 26
6 Aris 17 6 7 4 +9 25
7 Aris Thessalonikis 17 6 7 4 +9 25
8 Larisa 18 7 4 7 -1 25
9 Volos NFC 20 7 3 10 -16 24
10 Atromitos 18 6 5 7 -1 23
11 Lamia 18 5 8 5 -5 23
12 Panathinaikos 19 5 8 6 -7 23
13 Asteras Tripolis 18 4 3 11 -6 15
14 Panionios 18 3 4 11 -17 13
15 Panetolikos 18 1 5 12 -21 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.

Recent head-to-head meetings

28. Sep -19 Aris – Larisa 2–3

Odds comparison

Green columns are the outcomes that came in.

1X2
H
3,02
U ✓
3,10
B
2,37
Over/under goals
U1,5 ✓
O2,5
2,26
U2,5 ✓
1,59
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.