06.09.26 10:00
Finished
2
:
2
(2:1, 0:1)

Goals

Reinero A.
0 : 1
2'
33'
1 : 1
Sinatra G.
45'
2 : 1
Sinatra G.
Kljajic D.
2 : 2
90'
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Italy. Serie D - Group I", up to 09/06/2026
To build a prediction for the USD Ragusa - Modica match, scheduled for 6 September 2026, several key factors could influence the outcome.

Pre-Match Facts

Main
Motivation
In 25 out of 34 last matches involving USD Ragusa, at least one team did not score.
USD Ragusa does not lose by more than 1 goal in 22 out of 24 last matches.
USD Ragusa does not score in 21 out of 34 last matches.
USD Ragusa does not concede in 6 out of 10 last matches.
USD Ragusa scores under 2 goals in 10 matches straight.
USD Ragusa concedes under 2 goals in 13 out of 16 last matches.
In 5 out of 6 last matches involving USD Ragusa, over under 2 goals were scored.
In 9 out of 10 last matches involving USD Ragusa, over under 3 goals were scored.
In 14 last matches involving USD Ragusa, over under 4 goals were scored.
In 6 last matches involving USD Ragusa, a draw was recorded in the first half.

Summary

*Click on a table cell to see a tooltip
Matches
50
Wins
28% (14)
0% (0)
Draws
30% (15)
0% (0)
Defeats
42% (21)
0% (0)
Match Total (Avg.)
1.9
- USD Ragusa value is better
- Modica value is better

Trends

*Click on a trend to see details
Win Or Draw
3 / 4
Draw Or Defeat
8 / 9
Both Teams To Score (No)
25 / 34

Streaks

*Matches in a row with a given outcome
Draw Or Defeat
5

Team outcomes

USD Ragusa
Modica
H2H
Based on number of matches: 50
1 X 2
Wins
28% (14)
Draws
30% (15)
Defeats
42% (21)
Double Chance
Wins Or Draws
58% (29)
Wins Or Defeats
70% (35)
Draws Or Defeats
72% (36)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

USD Ragusa - Modica - score, tip, statistics

View the match score for USD Ragusa - Modica. 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