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Serie A
Referee: P Valeri
Cremonese
U U U S T
1–5
Full-time
Bologna
T U T U 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

Cremonese Bologna
Last 6 — all competitions · 6/6 matches
Win Ø 9%
17%
0%
Points per game
1,0
0,7
Over 2.5 Ø 25%
17%
33%
Both score Ø 58%
33%
83%
Average goals
1,8
2,2
Scored
0,7
0,8
Conceded
1,2
1,3
Goal diff per game
-0,5
-0,5
xG created Pro
xG conceded Pro
xG diff Pro
This season — Serie A · 35/35 matches
Win Ø 23%
11%
34%
Points per game
0,7
1,3
Over 2.5 Ø 48%
46%
49%
Both score Ø 57%
54%
60%
Average goals
2,6
2,5
Scored
0,9
1,2
Conceded
1,7
1,3
Goal diff per game
-0,9
+0,0
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: 0–3

1,26 xG 2,70
37% Possession 63%
13 Shots 19
2 Shots on target 9
6 Blocked shots 2
4 Goalkeeper saves 1
3 Corners 9
1 Offside 1
7 Free kicks against 13
1 Yellow cards 2
0 Red cards 1
The table before the match Cremonese 19. · Bologna 11.
# Team K V U T +/− xG +/− P
1 Napoli 35 26 5 4 +45 +11.3 83
2 Juventus 35 21 6 8 +26 +8.3 69
3 Inter 35 21 3 11 +29 +17.9 66
4 Lazio 35 19 8 8 +26 +2.4 65
5 Milan 35 17 10 8 +14 +2.6 61
6 Roma 35 17 8 10 +12 +7.6 59
7 Atalanta 35 17 7 11 +14 +3.7 58
8 Monza 36 14 10 12 +0 -3.0 52
9 Fiorentina 35 13 10 12 +7 +7.4 49
10 Torino 35 13 10 12 -2 +4.2 49
11 Bologna 35 12 11 12 -1 -2.6 47
12 Udinese 35 11 13 11 +2 -4.7 46
13 Sassuolo 36 12 8 16 -12 +3.9 44
14 Empoli 35 9 12 14 -13 -7.3 39
15 Salernitana 35 8 14 13 -13 -13.0 38
16 Lecce 35 7 11 17 -13 +0.5 32
17 Verona 34 7 8 19 -24 -7.5 29
18 Spezia 34 6 11 17 -26 -6.0 29
19 Cremonese 35 4 12 19 -30 -11.7 24
20 Sampdoria 35 3 9 23 -41 -14.0 18

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

23. Jan -23 Bologna – Cremonese 1–1

Match report

Cremonese Bologna
14′
M. Arnautović 0–1
M. Barrow
27′
L. Ferguson 0–2
29′
🟨 Riccardo Orsolini
Half-time 0–3
46′
S. Posch 0–3
R. Orsolini
C. Buonaiuto 🔁
↦ P. Galdames
46′
D. Ciofani 🔁
↦ F. Tsadjout
46′
L. Lochoshvili 🔁
↦ V. Chiricheș
59′
59′
🔁 M. Aebischer
↦ L. Ferguson
59′
🔁 N. Moro
↦ N. Domínguez
Cristian Buonaiuto ℹ️
VAR: Penalty cancelled
61′
62′
R. Orsolini 0–4
N. Moro
65′
🔁 G. Medel
↦ J. Schouten
65′
🔁 L. De Silvestri
↦ S. Posch
G. Quagliata 🔁
↦ M. Castagnetti
70′
73′
🟨 Riccardo Orsolini
73′
🟥 Riccardo Orsolini
F. Afena-Gyan 🔁
↦ L. Sernicola
76′
77′
🔁 N. Sansone
↦ M. Arnautović
80′
N. Sansone 0–5
M. Barrow
Cristian Buonaiuto 🟨
86′
1–5 D. Ciofani
L. Lochoshvili
91′
Full-time 1–5

Line-ups

Cremonese

4-2-3-1
12 M. Carnesecchi G
17 L. Sernicola D
21 V. Chiricheș D
5 J. Vásquez D
3 E. Valeri D
19 M. Castagnetti M
28 S. Meïté M
6 C. Pickel M
27 P. Galdames M
77 D. Okereke M
74 F. Tsadjout F
Bench (12)
10 C. Buonaiuto
9 D. Ciofani
44 L. Lochoshvili
33 G. Quagliata
20 F. Afena-Gyan
23 C. Acella
15 M. Bianchetti
4 E. Aiwu
18 P. Ghiglione
13 G. Saro
24 A. Ferrari
45 M. Sarr

Coach: D. Ballardini

Bologna

4-2-3-1
28 Ł. Skorupski G
3 S. Posch D
14 K. Bonifazi D
26 J. Lucumí D
50 A. Cambiaso D
30 J. Schouten M
8 N. Domínguez M
7 R. Orsolini M
19 L. Ferguson M
99 M. Barrow M
9 M. Arnautović F
Bench (11)
20 M. Aebischer
6 N. Moro
17 G. Medel
29 L. De Silvestri
10 N. Sansone
11 J. Zirkzee
1 F. Bardi
22 C. Lykogiannis
25 N. Pyyhtiä
34 F. Ravaglia
4 J. Sosa

Coach: T. Motta

Odds comparison

Green columns are the outcomes that came in.

1X2
H
2,96
U
3,41
B ✓
2,43
Over/under goals
O1,5 ✓
O2,5 ✓
2,03
U2,5
1,81
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

P Valeri · 55 kamper i vår database

🟨 Yellow cards
5,1 / match
Above average
⚽ Free kicks
28,6 / match
Above average

🟥 Red cards: 0,22 per match

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