Serie B

Serie B

Italy• Palermo
October 1, 23
Palermo

Palermo

2 - 1
FT
Sudtirol

Sudtirol

Main Tip
1 - 1or2 - 1
(38%)
clear sky24°Cclear sky
57% 2.99 m/s

Palermo vs Sudtirol - AI Football Prediction for October 1, 23

Our AI-powered preview for the Serie B clash between Palermo and Sudtirol on October 1, 23 in Italy delivers a comprehensive look at both teams' recent form and their head-to-head history. Palermo have managed 3 win(s), 0 draw(s), and 2 loss(es) in their last 5 matches, averaging 2.6 goals per game. Meanwhile, Sudtirol have recorded 1 win(s), 2 draw(s), and 2 loss(es) in the same period, with an average of 1.2 goals per match. Looking at their previous encounters, these teams have faced each other 0 time(s): Palermo have won 0, Sudtirol have won 0, and 0 match(es) ended in a draw. On average, their meetings have produced 0.0 goals per game. Factoring in current form, historical results, and advanced statistical models, our AI provides actionable insights to help you make smarter betting decisions for this match.

Team Performance Metrics

home team flag

Palermo

Average Goals per Game
2.20
Average of 2.20 goals scored per match
Formation
4-3-3
Most commonly used formation
Defensive Efficiency
6.8
Defensive Efficiency rated 6.8/10
Offensive Efficiency
7.3
Offensive Efficiency rated 7.3/10
Overall Team Performance
6.9
Overall team performance rated 6.9/10
Average Shots On Goal
4.6
Average shots on target per match
Goal Conversion Rate
51.2%
Shot-to-goal conversion rate
away team flag

Sudtirol

Average Goals per Game
1.50
Average of 1.50 goals scored per match
Formation
4-4-2
Most commonly used formation
Defensive Efficiency
6.9
Defensive Efficiency rated 6.9/10
Offensive Efficiency
7.0
Offensive Efficiency rated 7.0/10
Overall Team Performance
7.0
Overall team performance rated 7.0/10
Average Shots On Goal
3.9
Average shots on target per match
Goal Conversion Rate
54.5%
Shot-to-goal conversion rate

Prediction Insight

1 - 1
or2 - 1
38%

This prediction carries a speculative 38% probability rating. While our models identify some favorable patterns, underlying metrics show increased volatility and uncertainty. Historical data suggests occasional success in similar scenarios, but approach with caution. If considering this bet, we recommend reduced stake sizes and careful monitoring of pre-match developments.

Speculative Option
Confidence Level: Low
38%

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