31.10.26 07:00
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Additional Information

Stadium:Alberto Braglia (Modena)
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Summary
Matches
Trends
Standings
To build a prediction for the Modena - Mantova match, scheduled for 31 October 2026, several key factors could influence the outcome. In the current season of the Italy. Serie B, Modena have played 8 matches, in which they won 5 of them, drew 1 time and lost 2 matches. Mantova, having played 8 matches, won 5 times, drew 2 matches and lost 1 defeat. In the league, Modena average 1.9 goals scored per game and 1 conceded. Mantova average 1.8 scored and 1 conceded. These sides last met on 20 March 2026 at Modena's ground, where the home side came out on top.

Pre-Match Facts

Main
Motivation
In 6 out of 8 last matches, Modena scores in the second half.
In 6 out of 8 last matches, Modena concedes in the first half.
In 6 out of 8 last matches, Modena lost the first half.
In 6 out of 8 last matches, Mantova concedes in the second half.
In 4 last away matches, Mantova won the first half.
In 4 out of 5 last matches, Modena won the first half against Mantova.

Summary

*Click on a table cell to see a tooltip
Matches
8
8
Wins
63% (5)
63% (5)
Draws
13% (1)
25% (2)
Defeats
25% (2)
13% (1)
Match Total (Avg.)
2.9
2.8
- Modena value is better
- Mantova value is better

Trends

*Click on a trend to see details
Wins
3 / 4
—
Win Or Draw
—
7 / 8
Win Or Defeat
7 / 8
—
Both Teams To Score (Yes)
4 / 5
—

Streaks

*Matches in a row with a given outcome
Win Or Defeat
4
3

Team outcomes

Modena
Mantova
H2H
Based on number of matches: 8
1 X 2
Wins
63% (5)
bookie-logobookie-logo1.73
Draws
13% (1)
bookie-logobookie-logo3.6
Defeats
25% (2)
bookie-logobookie-logo4.58
Double Chance
Wins Or Draws
75% (6)
Wins Or Defeats
88% (7)
Draws Or Defeats
38% (3)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Modena - Mantova - score, tip, statistics

View the match score for Modena - Mantova. We've compiled statistics that will help you conduct mathematical analysis and make a prediction.

Other useful information:
  1. Instant match results
  2. Referee statistics and cards
  3. Mathematical analysis tools for matches
  4. Individual statistics of teams and players
  5. Football statistics