16.09.23 09:00
Finished
0
:
1
(0:1, 0:0)
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Slovakia. 4. liga - Bratislava", up to 09/16/2023
To build a prediction for the Domino - Modra match, scheduled for 16 September 2023, several key factors could influence the outcome. Domino have played 36 matches, in which they won 10 of them, drew 10 times and lost 16 matches. Modra, having played 6 matches, won 1 time and lost 5 defeats. In the league, Domino average 1.1 goals scored per game and 1.6 conceded. Modra average 0.7 scored and 2.8 conceded. These sides last met on 30 July 2022 at Modra's ground, where the match ended in a draw.

Pre-Match Facts

Main
Motivation
Domino concedes in 9 matches straight.
In 6 out of 7 last matches, Domino concedes in the first half.
Modra lost in 5 out of 6 last matches.
Modra concedes over 2 goals in 4 out of 6 last matches.
In 5 out of 6 last matches, Modra concedes in the second half.
In 4 out of 5 last matches, Modra lost the first half.

Head-to-Head

Corners
Yellows
Reds

Summary

*Click on a table cell to see a tooltip
Matches
36
6
Wins
28% (10)
17% (1)
Draws
28% (10)
0% (0)
Defeats
44% (16)
83% (5)
Match Total (Avg.)
2.7
3.5
- Domino value is better
- Modra value is better

Trends

*Click on a trend to see details
Defeats
4 / 5
5 / 6
Win Or Defeat
6 / 7
6 / 6
Draw Or Defeat
5 / 6
Both Teams To Score (No)
12 / 22
4 / 6
Loss Without Scoring (Yes)
3 / 5
4 / 6

Streaks

*Matches in a row with a given outcome
Defeats
3
Win Or Defeat
5
6
Draw Or Defeat
3

Team outcomes

Domino
Modra
H2H
Based on number of matches: 36
1 X 2
Wins
28% (10)
Draws
28% (10)
Defeats
44% (16)
Double Chance
Wins Or Draws
56% (20)
Wins Or Defeats
72% (26)
Draws Or Defeats
72% (26)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Domino - Modra - score, tip, statistics

View the match score for Domino - Modra. 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