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Serie A
Referee: Paolo Tagliavento
Empoli
T T T T T
1–1
Full-time
Pescara
T T T T U

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

Empoli Pescara
Last 6 — all competitions · 6/6 matches
Win Ø 9%
0%
17%
Points per game
0,0
0,7
Over 2.5 Ø 59%
50%
67%
Both score Ø 42%
33%
50%
Average goals
3,0
3,3
Scored
0,5
1,3
Conceded
2,5
2,0
Goal diff per game
-2,0
-0,7
This season — Serie A · 30/30 matches
Win Ø 12%
17%
7%
Points per game
0,7
0,4
Over 2.5 Ø 52%
37%
67%
Both score Ø 40%
23%
57%
Average goals
2,2
3,2
Scored
0,6
1,0
Conceded
1,6
2,2
Goal diff per game
-1,0
-1,2
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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: 1–1

59% Possession 41%
14 Shots 14
4 Shots on target 4
5 Blocked shots 2
3 Goalkeeper saves 3
7 Corners 5
0 Offside 3
15 Free kicks against 15
2 Yellow cards 3
0 Red cards 0
The table before the match Empoli 17. · Pescara 20.
# Team K V U T +/− P
1 Juventus 30 24 2 4 +40 74
2 Roma 30 22 2 6 +40 68
3 Napoli 30 19 7 4 +36 64
4 Lazio 30 18 6 6 +21 60
5 Atalanta 30 18 4 8 +18 58
6 Inter 30 17 4 9 +23 55
7 Milan 30 16 6 8 +10 54
8 Fiorentina 30 14 9 7 +10 51
9 Sampdoria 30 12 8 10 +2 44
10 Torino 30 10 11 9 +6 41
11 Chievo 30 11 5 14 -8 38
12 Udinese 30 10 7 13 -2 37
13 Cagliari 30 10 5 15 -20 35
14 Bologna 30 9 7 14 -14 34
15 Sassuolo 30 9 4 17 -11 31
16 Genoa 30 7 8 15 -18 29
17 Empoli 30 5 7 18 -31 22
18 Crotone 30 4 5 21 -27 17
19 Palermo 30 3 6 21 -38 15
20 Pescara 30 2 7 21 -37 13

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

6. Nov -16 Pescara – Empoli 0–4

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