Football · Italy Serie B · 07/09, 20:30

Prediction: Palermo vs Sampdoria

Team pages: Palermo · Sampdoria

Prediction summary
Expected goals
2.35Total
Palermo1.47
Sampdoria0.88
1X2
50% 29% 21%
Palermo Draw Sampdoria
Markets
Under 2.5 goals 58% Both teams to score 50%
Most likely score
1-1 14%
Recent form · 10 last
Palermo 6-2-2 (W-D-L)
WDWDWLLWWW
Sampdoria 4-2-4 (W-D-L)
LWWWLDWLDL
Head-to-head
Palermo 2–4–0 Sampdoria (6 last)
  • Sampdoria3-3Palermo
  • Palermo1-0Sampdoria
  • Sampdoria1-1Palermo
  • Palermo1-1Sampdoria
  • Palermo2-0Sampdoria
  • Palermo2-2Sampdoria
Our model (Elo) vs Market Rating Elo · Palermo 1560 · Sampdoria 1482
PalermoDrawSampdoria
Our model50%29%21%
Market50%29%21%
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 · 58%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours Palermo (rating 1560 vs 1482).
  • H2H favours Palermo: 2-4-0.
  • Cards-heavy: 8.2 🟨 combined avg.

Statistics · 10/10 matches analysed

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

PalermoSampdoria
Goals for / against (FT)1.5 / 1.10.8 / 1.1
Goals for / against (HT)0.7 / 0.60.2 / 0.4
Half-time result (W/D/L)50/30/20%20/50/30%
Corners (HT / FT)2 / 4.22.8 / 5.4
Cards (🟨 / 🟥)3.9 / 0.44.3 / 0.1

Head-to-head (H2H) · Palermo 240 Sampdoria

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DateHomeScoreAway
10/02/26
Italy Serie B
Sampdoria3-3
HT 0-1
Palermo
12/12/25
Italy Serie B
Palermo1-0
HT 1-0
Sampdoria
08/03/25
Italy Serie B
Sampdoria1-1
HT 1-1
Palermo
24/11/24
Italy Serie B
Palermo1-1
HT 1-1
Sampdoria
17/05/24
Italy Serie B
Palermo2-0
HT 1-0
Sampdoria
06/04/24
Italy Serie B
Palermo2-2
HT 2-1
Sampdoria

Standings · Italy Serie B

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#Team PWDL GFGAPts
1 Modena 2200 516
2 Mantova 2200 526
3 Palermo 2200 426
4 Ascoli 2110 324
4 Cesena 2110 324
6 Padova 2110 214
6 Sudtirol 2110 214
8 Avellino 2101 423
9 Arezzo 2101 443
10 Pisa 2101 223
11 Empoli 2101 233
12 Vicenza 2101 353
13 Juve Stabia 2101 221
14 Benevento 2011 231
14 Carrarese 2011 231
14 Verona 2011 231
14 Sampdoria 2011 231
18 Catanzaro 2002 350
19 Virtus Entella 2002 130
20 Cremonese 2002 040

Common opponents 4 opponents

How each team fared against the same recent opponents

OpponentPalermoSampdoria
Juve Stabia 1-0 W 1-2 L
AC Reggiana 1-1 D 0-1 L
Cesena 2-0 W 1-1 D
Avellino 2-0 W 2-1 W
Record vs common 3 W 1 D 0 L 1 W 1 D 2 L

Better against common opponents: Palermo (4 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.

Palermo

WDWDWLLWWW

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Date Opponent HT FT Cor.Cards Res.
30/08 Arezzo
Italy Serie B
1-0 3-2 44 W
23/08 Juve Stabia
Italy Serie B
1-0 1-0 W
20/05 Catanzaro
Italy Serie B
1-0 2-0 58 W
17/05 Catanzaro
Italy Serie B
0-3 0-3 24 L
08/05 Venezia
Italy Serie B
0-0 0-2 24 L
01/05 Catanzaro
Italy Serie B
1-2 3-2 42 W
25/04 AC Reggiana
Italy Serie B
1-1 1-1 75 D
18/04 Cesena
Italy Serie B
1-0 2-0 61 W
10/04 Frosinone
Italy Serie B
0-0 1-1 76 D
05/04 Avellino
Italy Serie B
1-0 2-0 15 W

Sampdoria

LWWWLDWLDL

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Date Opponent HT FT Cor.Cards Res.
29/08 Juve Stabia
Italy Serie B
1-0 1-2 24 L
23/08 Cesena
Italy Serie B
0-1 1-1 D
08/05 AC Reggiana
Italy Serie B
0-0 0-1 93 L
01/05 Sudtirol
Italy Serie B
1-0 1-0 44 W
25/04 Cesena
Italy Serie B
0-0 0-0 54 D
17/04 Monza
Italy Serie B
0-2 0-3 83 L
11/04 Pescara
Italy Serie B
0-1 2-1 36 W
06/04 Empoli
Italy Serie B
0-0 1-0 74 W
22/03 Avellino
Italy Serie B
0-0 2-1 97 W
18/03 Carrarese
Italy Serie B
0-0 0-2 25 L

Frequently asked questions

Who is the favourite in Palermo vs Sampdoria?

According to our model, the most likely result is a Palermo win (50%). Probabilities: Palermo 50%, draw 29%, Sampdoria 21%.

How many goals are expected in Palermo vs Sampdoria?

The model expects 2.35 goals (Palermo 1.47 · Sampdoria 0.88), with a 51% chance of over 2.25 goals.

Will both teams score in Palermo vs Sampdoria?

The model gives a 50% chance that both teams score.

What is the most likely score?

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