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Coppa Italia
Referee: G Collu
Cosenza
U U T S U
2–5
Full-time
Sassuolo
U T T U T

Retrospective analysis — the model is trained only on matches played before this one.

⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
🔒 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

Cosenza Sassuolo
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
1,0
0,3
Over 2.5 Ø 42%
17%
67%
Both score Ø 75%
67%
83%
Average goals
1,8
3,5
Scored
0,8
1,2
Conceded
1,0
2,3
Goal diff per game
-0,2
-1,2
xG created Pro
xG conceded Pro
xG diff Pro
🔒 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: 1–1

63% Possession 37%
21 Shots 9
11 Shots on target 2
6 Blocked shots 1
0 Goalkeeper saves 6
12 Corners 3
0 Offside 2
11 Free kicks against 18
6 Yellow cards 4
0 Red cards 1
The table before the match
# Team K V U T +/− P
1 Reggiana 1 1 0 0 +4 3
2 Udinese 1 1 0 0 +3 3
3 Parma 1 1 0 0 +3 3
4 Verona 1 1 0 0 +2 3
5 Bologna 1 1 0 0 +2 3
6 Genoa 1 1 0 0 +1 3
7 Cagliari 1 1 0 0 +1 3
8 Cittadella 1 1 0 0 +1 3
9 FeralpiSalo 1 1 0 0 +1 3
10 Salernitana 1 1 0 0 +1 3
11 Frosinone 1 1 0 0 +1 3
12 Catanzaro 2 1 0 1 -2 3
13 Virtus Entella 1 0 1 0 +0 1
14 Cesena 2 0 1 1 -2 1
15 Modena 1 0 0 1 -1 0
16 Palermo 1 0 0 1 -1 0
17 Empoli 1 0 0 1 -1 0
18 Vicenza 1 0 0 1 -1 0
19 Ternana 1 0 0 1 -1 0
20 Pisa 1 0 0 1 -1 0
21 Foggia 1 0 0 1 -1 0
22 Ascoli 1 0 0 1 -2 0
23 Bari 1 0 0 1 -3 0
24 Pescara 1 0 0 1 -4 0

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.

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