Catanzaro vs Padova — Serie B forecast, Saturday, 31 October 2026

Serie B·Saturday, 31 October 2026·16:15
Catanzaro

vs

16:15

20th vs 10th

Padova

Metis Forecast

Market-anchored distribution

Model updated

Catanzaro

46%

Draw

26%

Padova

28%

Expected goals

1.60–1.17

Catanzaro · Padova

Catanzaro win 46% of the current Metis Forecast. Most likely scores: 1–1 (12.3%), 2–1 (9.1%), 1–0 (8.9%).More forecast detail +

Both teams score in 56% of simulations.

Those three cover 30% of outcomes; the other 70% is spread across every remaining scoreline.

The most likely Catanzaro win is 2–1 (9.1%).

Catanzaro score at least twice in 47%; Padova in 33%.

Scoreline distribution

Match outcomes

Both teams score56%
Over 1.5 goals77%
Over 2.5 goals53%
Over 3.5 goals30%
Over 4.5 goals15%
Team scoring & clean sheets
Catanzaro clean sheet31%
Padova clean sheet20%
Catanzaro score 2+47%
Padova score 2+33%
Catanzaro score 3+22%
Padova score 3+11%

Model vs market

SourceHomeDrawAway
Raw Metis model48%26%25%
Market reference46%26%28%
Metis Forecast46%26%28%

Market reference: pinnacle, de-vigged (shin) · price snapshot .

The forecast combines the model’s scoreline structure with market information where a fresh price exists. The raw model is kept separate and benchmarked independently against the Pinnacle opening price.

Most likely scores

1–112.3%
2–19.1%
1–08.9%
2–08.0%
1–27.2%
0–07.0%

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Recent form

Catanzaro

21 AugAvs Vicenza2–3L
30 AugAvs Pisa1–2L
5 SeptAvs Sudtirol0–2L
12 SeptHvs Carrarese1–0W
19 SeptAvs Sampdoria1–2L

Padova

23 AugAvs Pisa1–0W
29 AugHvs Verona1–1D
6 SeptAvs Cremonese1–3L
12 SeptHvs Ascoli1–0W
19 SeptAvs Palermo1–2L

Head to head

No previous meetings in the Metis results archive for this competition.

Model context

StatCatanzaro
(Home · 3 matches)
Padova
(Away · 4 matches)
BTTS rate66.7%50.0%
Over 2.5 rate66.7%50.0%
Clean sheet33.3%50.0%
Avg goals4.002.25

Home stats use Catanzaro's home record; away stats use Padova's away record this season. These are completed-match rates over the samples shown above, not model probabilities — early in a season a handful of matches produces 0% and 100% readings.