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Serie A
Referee: Gianluca Rocchi
Frosinone
U T T S T
0–2
Full-time
Palermo
U 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

Frosinone Palermo
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
0,7
0,3
Over 2.5 Ø 67%
67%
67%
Both score Ø 42%
50%
33%
Average goals
2,8
2,7
Scored
0,7
0,5
Conceded
2,2
2,2
Goal diff per game
-1,5
-1,7
This season — Serie A · 34/34 matches
Win Ø 23%
24%
21%
Points per game
0,9
0,9
Over 2.5 Ø 52%
50%
53%
Both score Ø 46%
47%
44%
Average goals
2,9
2,8
Scored
0,9
0,9
Conceded
1,9
1,9
Goal diff per game
-1,0
-0,9
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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: 0–0

53% Possession 47%
16 Shots 7
4 Shots on target 2
4 Blocked shots 2
0 Goalkeeper saves 4
9 Corners 4
4 Offside 3
0 Free kicks against 0
3 Yellow cards 3
0 Red cards 0
The table before the match Frosinone 18. · Palermo 19.
# Team K V U T +/− P
1 Juventus 34 26 4 4 +48 82
2 Napoli 34 22 7 5 +43 73
3 Roma 34 19 11 4 +35 68
4 Inter 35 19 7 9 +15 64
5 Fiorentina 34 17 8 9 +17 59
6 Milan 34 14 11 9 +8 53
7 Sassuolo 34 12 13 9 +3 49
8 Chievo 34 13 9 12 +2 48
9 Lazio 34 13 9 12 -1 48
10 Genoa 34 12 7 15 -2 43
11 Torino 34 11 9 14 -3 42
12 Empoli 34 11 9 14 -8 42
13 Atalanta 34 9 11 14 -7 38
14 Udinese 35 10 8 17 -20 38
15 Sampdoria 34 9 10 15 -4 37
16 Bologna 34 10 7 17 -13 37
17 Carpi 34 7 11 16 -18 32
18 Frosinone 34 8 6 20 -34 30
19 Palermo 34 7 8 19 -32 29
20 Verona 34 3 13 18 -29 22

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

12. Dec -15 Palermo – Frosinone 4–1

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