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#8 · 13 pts
0 – 0
Final score
#3 · 18 pts
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The ForzaPitch pre-match prediction gave Ascoli a 36% win probability (draw 30%, Sudtirol 33%). The final result was Sudtirol 0–0 Ascoli.

Match statistics
16
Total shots
9
4
Shots on target
2
1.17
Actual xG
0.70
2
Saves
4
42%
Possession
58%
5
Corners
5
21
Tackles
15
4
🟨 Yellow cards
1
Match Events
Salvatore Molina
37'
↕ Alvin Okoro / Kenny Meddy Mixtur
45'
Giacomo Stabile
48'
Vasco Rafael Fortes Lopes
60'
↕ Vasco Rafael Fortes Lopes / Rares Burnete
66'
Rares Burnete
67'
73'
Giacomo De Pieri / Andrea·Silipo ↕
73'
amine chakir / Matteo Brunori ↕
73'
Gennao Acampora / Tommaso Milanese ↕
75'
Nicholas Rizzo
↕ Aljosa Vasic / Lorenzo Anghele
75'
↕ Giacomo Stabile / Davide Veroli
80'
↕ Fabio Rispoli / Dhirar Brik
80'
87'
Don Bolsius / Simone D'Uffizi ↕
Pre-match prediction
33.02%
Sudtirol
30.08%
X ←
36.91%
Ascoli
we assigned to the actual result (Draw) 30.08% (low confidence)
Expected vs actual xG
Exp.
Actual
Δ
Sudtirol
1.02
1.17
+0.15
Ascoli
1.58
0.70
-0.88
Sudtirol dominated by xG (1.17 vs 0.70). The final result does not reflect the playing dominance. The model's xG estimates diverged from reality.
League Table
#Team GPts
1 Palermo Palermo 8 22
2 Modena Modena 9 19
3 Ascoli Ascoli 9 18
4 Mantova Mantova 9 17
5 Benevento Benevento 9 15
6 Pisa Pisa 8 14
7 Padova Padova 9 13
8 Sudtirol Sudtirol 9 13
9 Avellino Avellino 9 12
10 Cesena Cesena 9 11
11 Virtus Entella Virtus Entella 9 10
12 Arezzo Arezzo 8 10
13 Hellas Verona Hellas Verona 8 9
14 Cremonese Cremonese 9 9
15 Vicenza Virtus Vicenza Virtus 9 9
16 Juve Stabia Juve Stabia 8 8
17 Empoli Empoli 9 7
18 Carrarese Carrarese 8 7
19 Sampdoria Sampdoria 9 5
20 Catanzaro Catanzaro 9 5
Lineups
Sudtirol Sudtirol 5-4-1
22 A. Plizzari A. Plizzari G 6.94
24 S. Davì S. Davì D 7.27
27 G. Stabile G. Stabile 80' D 6.69
55 A. Giorgini A. Giorgini D 6.99
4 R. Stivanello R. Stivanello D 6.80
79 S. Molina S. Molina D 6.94
14 A. Vasic A. Vasic 75' M 6.36
10 Fabio Rispoli Fabio Rispoli 80' M 6.84
5 S. Tronchin S. Tronchin M 6.13
11 Vasco Lopes Vasco Lopes 66' M 6.31
90 A. Okoro A. Okoro 45' F 6.63
Bench
46 D. Brik D. Brik 10' M 6.49
3 D. Veroli D. Veroli 10' D 6.41
80 Elias Schroot Elias Schroot M 0.00
21 F. Tait F. Tait M 0.00
25 K. Mixtur K. Mixtur 45' F 7.20
17 L. Anghelè L. Anghelè 15' F 6.48
19 M. Pellini M. Pellini D 0.00
9 R. Burnete R. Burnete 24' F 6.66
12 Rok Vadjunec Rok Vadjunec G 0.00
Ascoli Ascoli 4-2-3-1
1 S. Vitale S. Vitale G 7.35
19 A. Guiébré A. Guiébré D 6.79
33 N. Rizzo N. Rizzo D 6.50
30 M. Curado M. Curado D 7.07
14 A. Oliveri A. Oliveri D 7.22
8 G. Corradini G. Corradini M 6.58
4 S. Damiani S. Damiani M 6.93
15 S. D'Uffizi S. D'Uffizi 87' M 6.67
62 T. Milanese T. Milanese 73' M 6.54
7 A. Silipo A. Silipo 73' M 6.22
99
73' F 6.38
Bench
9 A. Chakir A. Chakir 17' F 6.44
77 D. Bolsius D. Bolsius 3' F 6.86
32 F. Gattoni F. Gattoni D 0.00
13 G. Acampora G. Acampora 17' M 6.66
45 G. Crespi G. Crespi G 0.00
21 G. De Pieri G. De Pieri 17' M 6.62
35 G. Gori G. Gori F 0.00
18 L. Lo Scalzo L. Lo Scalzo M 0.00
5 L. Venuti L. Venuti D 0.00
3 M. Nicoletti M. Nicoletti D 0.00
27 M. Ricci M. Ricci M 0.00
11 S. Perciun S. Perciun M 0.00
Best on the pitch
S. Vitale
S. Vitale
G · Ascoli
7.35
· 48 pass
S. Davì
S. Davì
D · Sudtirol
7.27
· 31 pass
A. Oliveri
A. Oliveri
D · Ascoli
7.22
2 shots · 50 pass
K. Mixtur
K. Mixtur
F · Sudtirol
7.20
3 shots · 12 pass
M. Curado
M. Curado
D · Ascoli
7.07
· 106 pass
A. Giorgini
A. Giorgini
D · Sudtirol
6.99
· 48 pass
Sudtirol Sudtirol — Player statistics
Team PosMinRating ⚽👟 ShotsPassAcc% TckYCRC
A. Plizzari G 90 6.94 — — 0 36 27% 0 — —
S. Davì D 90 7.27 — — 0 31 27% 1 — —
G. Stabile D 80 6.69 — — 0 37 34% 3 1 —
A. Giorgini D 90 6.99 — — 0 48 43% 2 — —
R. Stivanello D 90 6.80 — — 3 33 30% 3 — —
S. Molina D 90 6.94 — — 0 35 30% 4 1 —
A. Vasic M 75 6.36 — — 2 14 10% 1 — —
Fabio Rispoli M 80 6.84 — — 1 34 29% 0 — —
S. Tronchin M 90 6.13 — — 4 48 37% 2 — —
Vasco Lopes M 66 6.31 — — 3 20 15% 2 1 —
A. Okoro F 45 6.63 — — 0 9 8% 0 — —
D. Brik M 10 6.49 — — 0 5 4% 0 — —
D. Veroli D 10 6.41 — — 0 7 2% 0 — —
K. Mixtur F 45 7.20 — — 3 12 11% 0 — —
L. Anghelè F 15 6.48 — — 0 5 5% 0 — —
R. Burnete F 24 6.66 — — 0 12 7% 3 1 —
Ascoli Ascoli — Player statistics
Team PosMinRating ⚽👟 ShotsPassAcc% TckYCRC
S. Vitale G 90 7.35 — — 0 48 41% 0 — —
A. Guiébré D 90 6.79 — — 1 30 27% 2 — —
N. Rizzo D 90 6.50 — — 0 73 68% 1 1 —
M. Curado D 90 7.07 — — 0 106 96% 4 — —
A. Oliveri D 90 7.22 — — 2 50 48% 1 — —
G. Corradini M 90 6.58 — — 1 49 43% 2 — —
S. Damiani M 90 6.93 — — 1 75 70% 1 — —
S. D'Uffizi M 87 6.67 — — 0 25 21% 1 — —
T. Milanese M 73 6.54 — — 0 28 25% 1 — —
A. Silipo M 73 6.22 — — 1 24 22% 0 — —
F 73 6.38 — — 1 12 11% 0 — —
A. Chakir F 17 6.44 — — 1 3 2% 0 — —
D. Bolsius F 3 6.86 — — 0 1 1% 0 — —
G. Acampora M 17 6.66 — — 0 12 11% 2 — —
G. De Pieri M 17 6.62 — — 1 6 3% 0 — —
Frequently Asked Questions
What was the final score of Sudtirol vs Ascoli?
The final score was Sudtirol 0–0 Ascoli.
What did the model predict before Sudtirol vs Ascoli?
The model assigned 33% probability to a Sudtirol win, 30% to a draw, and 36% to an Ascoli win.