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Pisa

Serie A

Last updated Jun 6, 2026

Last 17 matches

1W · 2D · 14L

Form (recent → older)

LLLLLLLWLL

Model accuracy on Pisa's matches

V1 model

Recommended

82.3%

n = 17

V3 (Sharp Intelligence)

60.0%

n = 5

Recommended badge appears when one model leads by ≥5 percentage points over a minimum of 10 settled matches. How models work →

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Goal patterns

Avg goals scored

0.65

Avg goals conceded

2.24

BTTS

41%

7/17

Over 2.5

65%

11/17

At home (avg scored)

0.63

Away (avg scored)

0.67

Head-to-head — top opponents

vs Cagliari

·

2 meetings

1W 1D 0L
WD

vs Juventus

·

2 meetings

0W 0D 2L
LL

vs Lazio

·

1 meetings

0W 0D 1L
L

vs Napoli

·

1 meetings

0W 0D 1L
L

vs Cremonese

·

1 meetings

0W 0D 1L
L

About Pisa

Updated May 17, 2026

Pisa has struggled significantly in the past year, recording only 1 win, 2 draws, and 12 losses over their last 15 matches. They have managed to score just 10 goals while conceding 33, indicating defensive vulnerabilities. The team has experienced a challenging run of form with a sequence of losses, interrupted only by a solitary win. Pisa's matches have seen both teams score in 6 out of 15 games, while 9 of these matches have ended with over 2.5 goals, suggesting a tendency for high-scoring encounters.

The V1 model has demonstrated a high level of accuracy in predicting outcomes for Pisa's matches, with an 86.7% success rate over 15 matches. In contrast, the V3 model, known for its Sharp Intelligence, has been less reliable with a 33.3% accuracy rate, albeit from a smaller sample size of 3 matches. Given these figures, the V1 model is recommended for analyzing Pisa's performances.

In head-to-head matchups, Pisa has had some success against Cagliari, securing 1 win and 1 draw in their meetings. However, they have struggled against stronger opponents like Juventus, against whom they have lost both encounters. Pisa has also faced defeats against Cremonese, Lecce, and Parma, with no wins or draws recorded. The team's pattern of matches often involves high scoring, as evidenced by the frequency of over 2.5 goal outcomes.

This analysis is based on data and statistical models. For more insights into model performance, visit /performance.

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Stats are rolled up from finished matches in the last 365 days.Methodology · Bet responsibly