Football · Italy Serie B · 21/11, 17:15

Prediction: Catanzaro vs Palermo

Team pages: Catanzaro · Palermo

Prediction summary
Expected goals
3.41Total
Catanzaro1.38
Palermo2.04
1X2
24% 25% 51%
Catanzaro Draw Palermo
Markets
Under 3.5 goals 56% Both teams to score 58%
Most likely score
1-1 10%
Recent form · 10 last
Catanzaro 1-3-6 (W-D-L)
LLWLLDLDDL
Palermo 7-3-0 (W-D-L)
WWDWWWWDWD
Head-to-head
Catanzaro 3–3 Palermo (6 last)
  • Palermo2-0Catanzaro
  • Catanzaro3-0Palermo
  • Palermo3-2Catanzaro
  • Catanzaro1-0Palermo
  • Catanzaro1-3Palermo
  • Palermo1-2Catanzaro
Our model (Elo) vs Market Rating Elo · Catanzaro 1432 · Palermo 1603
CatanzaroDrawPalermo
Our model25%23%52%
Market24%26%51%
Estimated total (ours) 3.41 goals · Bet365 line 3 · +0.4

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 goalsOver 1.5 · 63%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours Palermo (rating 1432 vs 1603).
  • Cards-heavy: 6.4 🟨 combined avg.

Statistics · 10/10 matches analysed

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

CatanzaroPalermo
Goals for / against (FT)0.9 / 22.4 / 1.3
Goals for / against (HT)0.5 / 0.90.6 / 0.5
Half-time result (W/D/L)20/50/30%30/50/20%
Corners (HT / FT)1.9 / 5.51.7 / 3.8
Cards (🟨 / 🟥)3.9 / 0.12.5 / 0.1

Head-to-head (H2H) · Catanzaro 3–0–3 Palermo

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DateHomeScoreAway
20/05/26
Italy Serie B
Palermo2-0
HT 1-0
Catanzaro
17/05/26
Italy Serie B
Catanzaro3-0
HT 3-0
Palermo
01/05/26
Italy Serie B
Palermo3-2
HT 1-2
Catanzaro
25/10/25
Italy Serie B
Catanzaro1-0
HT 1-0
Palermo
27/04/25
Italy Serie B
Catanzaro1-3
HT 0-2
Palermo
15/12/24
Italy Serie B
Palermo1-2
HT 1-1
Catanzaro

Standings · Italy Serie B

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#Team PWDL GFGAPts
1 Palermo 11830 251327
2 Modena 11722 201023
3 Ascoli 11551 17720
4 Mantova 11542 151119
5 Verona 11443 191316
6 Avellino 11443 161116
7 Benevento 11443 151116
8 Pisa 11443 201716
9 Cremonese 11434 141215
10 Sudtirol 11362 131215
11 Padova 11434 121315
12 Cesena 11362 121415
13 Juve Stabia 11443 121112
14 Sampdoria 11326 111811
15 Arezzo 11326 92011
16 Virtus Entella 11245 111410
17 Carrarese 11317 91410
18 Empoli 11236 12199
19 Vicenza 11236 14249
20 Catanzaro 11137 11236

Common opponents 6 opponents

How each team fared against the same recent opponents

OpponentCatanzaroPalermo
Padova 1-1 D 2-1 W
Ascoli 1-6 L 1-1 D
Mantova 1-3 L 2-0 W
Sampdoria 1-2 L 3-1 W
Carrarese 1-0 W 2-1 W
Pisa 1-2 L 3-3 D
Record vs common 1 W 1 D 4 L 4 W 2 D 0 L

Better against common opponents: Palermo (5 of 6 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.

Catanzaro

LLWLLDLDDL

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Date Opponent HT FT Cor.Cards Res.
07/11 Cesena
Italy Serie B
0-0 0-1 91 L
31/10 Padova
Italy Serie B
1-0 1-1 114 D
27/10 Benevento
Italy Serie B
0-0 1-1 56 D
24/10 Ascoli
Italy Serie B
1-4 1-6 53 L
16/10 Verona
Italy Serie B
1-1 2-2 03 D
11/10 Mantova
Italy Serie B
0-2 1-3 54 L
19/09 Sampdoria
Italy Serie B
1-0 1-2 58 L
12/09 Carrarese
Italy Serie B
0-0 1-0 24 W
05/09 Sudtirol
Italy Serie B
0-0 0-2 52 L
30/08 Pisa
Italy Serie B
1-2 1-2 85 L

Palermo

WWDWWWWDWD

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Date Opponent HT FT Cor.Cards Res.
06/11 Ascoli
Italy Serie B
0-1 1-1 21 D
01/11 Vicenza
Italy Serie B
1-1 3-1 43 W
28/10 Pisa
Italy Serie B
0-2 3-3 31 D
25/10 Carrarese
Italy Serie B
1-0 2-1 52 W
17/10 Mantova
Italy Serie B
0-0 2-0 31 W
10/10 Empoli
Italy Serie B
0-0 4-2 52 W
19/09 Padova
Italy Serie B
1-1 2-1 74 W
13/09 Avellino
Italy Serie B
0-0 1-1 33 D
07/09 Sampdoria
Italy Serie B
2-0 3-1 25 W
30/08 Arezzo
Italy Serie B
1-0 3-2 44 W

Frequently asked questions

Who is the favourite in Catanzaro vs Palermo?

According to our model, the most likely result is an Palermo win (51%). Probabilities: Catanzaro 24%, draw 25%, Palermo 51%.

How many goals are expected in Catanzaro vs Palermo?

The model expects 3.41 goals (Catanzaro 1.38 · Palermo 2.04), with a 52% chance of over 3 goals.

Will both teams score in Catanzaro vs Palermo?

The model gives a 58% chance that both teams score.

What is the most likely score?

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