Football · Italy Serie D · 11/10, 15:00

Prediction: Pavia vs ASD Varesina

Team pages: Pavia · ASD Varesina

Prediction summary
Expected goals
2.35Total
Pavia1.36
ASD Varesina0.98
1X2
45% 29% 26%
Pavia Draw ASD Varesina
Markets
Under 2.5 goals 58% Both teams to score 51%
Most likely score
1-1 14%
Recent form · 10 last
Pavia 2-4-4 (W-D-L)
LWLWLDDDDL
ASD Varesina 2-4-4 (W-D-L)
LWDDWDLLLD
Head-to-head
Pavia 1–3–0 ASD Varesina (4 last)
  • Pavia1-1ASD Varesina
  • ASD Varesina2-2Pavia
  • ASD Varesina2-2Pavia
  • Pavia2-0ASD Varesina
Our model (Elo) vs Market Rating Elo · Pavia 1448 · ASD Varesina 1482
PaviaDrawASD Varesina
Our model44%30%26%
Market45%29%26%
Estimated total (ours) 2.35 goals · Bet365 line 2.25

The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.

Model analysis
1st-half goalsUnder 1.5 · 61%model estimate

Match keys

  • Cards-heavy: 8.8 🟨 combined avg.

Statistics · 10/10 matches analysed

F = for · A = against · HT = half-time · FT = full-time

PaviaASD Varesina
Goals for / against (FT)0.8 / 0.91.2 / 1.5
Goals for / against (HT)0.3 / 0.70.2 / 0.4
Half-time result (W/D/L)14/43/43%0/80/20%
Corners (HT / FT)2.9 / 4.13.3 / 4.8
Cards (🟨 / 🟥)4.4 / 0.14.4 / 0

Head-to-head (H2H) · Pavia 1–3–0 ASD Varesina

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DateHomeScoreAway
01/03/26
Italy Serie D
Pavia1-1
HT 1-0
ASD Varesina
26/10/25
Italy Serie D
ASD Varesina2-2
HT 2-0
Pavia
04/02/18
Italy Serie D
ASD Varesina2-2Pavia
01/10/17
Italy Serie D
Pavia2-0ASD Varesina

Standings · Italy Serie D

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#Team PWDL GFGAPts
1 Reggina 6501 15115
2 Vibonese 6411 15513
3 Sambiase 6411 10513
4 Calcio Avola 1949 6402 91012
5 Igea Virtus 6321 141111
6 ASD Licata 6321 8811
7 ASD Digiesse PraiaTortora 6231 849
8 Milazzo 6303 589
9 SSD Athletic Club Palermo 6222 988
10 Nissa FC 6222 998
11 Modica 6213 657
12 Vigor Lamezia 6123 7135
13 Siracusa 6321 854
14 Città di Gela 6123 464
15 ASD CastrumFavara 6114 574
16 ASD Ragusa 6024 492
17 Trapani 6204 3101
18 Enna Calcio 6015 0151

Common opponents 4 opponents

How each team fared against the same recent opponents

OpponentPaviaASD Varesina
Correggese 1-2 L 1-2 L
A.C.D. Sant'Angelo 0-0 D 1-1 D
AC Chievo Verona 1-2 L 0-1 L
USD Casatese 0-1 L 2-4 L
Record vs common 0 W 1 D 3 L 0 W 1 D 3 L

Better against common opponents: Pavia (1 of 4 head-to-heads won)

Last 10 matches played

The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.

Pavia

LWLWLDDDDL

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Date Opponent HT FT Cor.Cards Res.
04/10 Correggese
Italy Serie D
0-2 1-2 64 L
27/09 Arconatese
Italy Serie D
0-1 1-1 65 D
20/09 A.C.D. Sant'Angelo
Italy Serie D
– 0-0 –– D
16/09 Solbiatese Calcio 1911
Italy Serie D
0-0 0-0 46 D
06/09 A.C. Crema 1908
Italy Serie D
0-0 0-0 47 D
03/05 AC Chievo Verona
Italy Serie D
– 1-2 –– L
26/04 Virtus Ciserano Bergamo
Italy Serie D
– 3-0 –– W
19/04 USD Casatese
Italy Serie D
0-1 0-1 12 L
12/04 Scanzorosciate
Italy Serie D
1-0 1-0 23 W
02/04 AC Leon Monza Brianza
Italy Serie D
1-1 1-3 65 L

ASD Varesina

LWDDWDLLLD

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Date Opponent HT FT Cor.Cards Res.
04/10 Pro Patria
Italy Serie D
0-0 0-0 35 D
27/09 USD Casatese
Italy Serie D
– 2-4 –– L
20/09 Pistoiese
Italy Serie D
– 0-1 –– L
16/09 Correggese
Italy Serie D
1-1 1-2 64 L
13/09 A.C.D. Sant'Angelo
Italy Serie D
0-0 1-1 65 D
06/09 Cittadella Vis Modena
Italy Serie D
– 3-2 –– W
03/05 ASD Caldiero Terme
Italy Serie D
– 2-2 –– D
26/04 US Breno
Italy Serie D
0-1 2-2 25 D
19/04 AC Milan U23
Italy Serie D
0-0 1-0 73 W
12/04 AC Chievo Verona
Italy Serie D
– 0-1 –– L

Frequently asked questions

Who is the favourite in Pavia vs ASD Varesina?

According to our model, the most likely result is a Pavia win (45%). Probabilities: Pavia 45%, draw 29%, ASD Varesina 26%.

How many goals are expected in Pavia vs ASD Varesina?

The model expects 2.35 goals (Pavia 1.36 · ASD Varesina 0.98), with a 52% chance of under 2.25 goals.

Will both teams score in Pavia vs ASD Varesina?

The model gives a 51% chance that both teams score.

What is the most likely score?

The most likely score according to our model is 1-1.