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Serie A
Referee: Michael Fabbri
Atalanta
T U U U T
0–0
Full-time
Empoli
S U U T 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

Atalanta Empoli
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,5
1,0
Over 2.5 Ø 33%
33%
33%
Both score Ø 67%
67%
67%
Average goals
2,0
2,7
Scored
0,7
1,0
Conceded
1,3
1,7
Goal diff per game
-0,7
-0,7
This season — Serie A · 23/23 matches
Win Ø 35%
30%
39%
Points per game
1,2
1,4
Over 2.5 Ø 46%
43%
48%
Both score Ø 48%
39%
57%
Average goals
2,2
2,7
Scored
1,0
1,3
Conceded
1,2
1,4
Goal diff per game
-0,2
-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

40% Possession 60%
11 Shots 9
2 Shots on target 3
3 Blocked shots 1
3 Goalkeeper saves 2
5 Corners 3
4 Offside 4
0 Free kicks against 0
3 Yellow cards 4
0 Red cards 0
The table before the match Atalanta 13. · Empoli 9.
# Team K V U T +/− P
1 Napoli 24 17 5 2 +34 56
2 Juventus 24 17 3 4 +30 54
3 Fiorentina 24 14 4 6 +19 46
4 Inter 24 13 6 5 +10 45
5 Roma 23 11 8 4 +17 41
6 Milan 24 11 7 6 +9 40
7 Sassuolo 24 8 10 6 +0 34
8 Lazio 24 9 6 9 -3 33
9 Empoli 23 9 6 8 -3 33
10 Chievo 24 8 6 10 -3 30
11 Bologna 24 9 3 12 -3 30
12 Torino 24 7 7 10 -2 28
13 Atalanta 23 7 6 10 -4 27
14 Udinese 24 7 6 11 -16 27
15 Palermo 24 7 5 12 -13 26
16 Genoa 24 6 7 11 -4 25
17 Sampdoria 23 6 6 11 -6 24
18 Carpi 24 4 7 13 -18 19
19 Frosinone 24 5 4 15 -26 19
20 Verona 24 1 12 11 -18 15

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

24. Sep -15 Empoli – Atalanta 0–1

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