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Includes matches from past seasons. You can enable "current season" in filters.
To build a prediction for the Kurim - Bystrc match, scheduled for 24 October 2026, several key factors could influence the outcome. In the current season of the Czech Republic. 4. liga - Group D, Kurim have played 30 matches, in which they won 17 of them, drew 6 times and lost 7 matches. Bystrc, having played 1 match, lost it. In the league, Kurim average 2.2 goals scored per game and 1 conceded. Bystrc average 2 scored and 3 conceded. These sides last met on 5 April 2024 at Bystrc's ground, where the home side came out on top.

Pre-Match Facts

Main
Motivation
Kurim won in 5 out of 7 last matches.
Kurim does not lose by more than 1 goal in 22 out of 23 last matches.
Kurim wins by more than 1 goal in 13 out of 20 last matches.
Kurim concedes under 2 goals in 20 out of 23 last matches.
Kurim scores over 2 goals in 10 out of 20 last matches.
In 6 out of 7 last matches, Kurim scores in the second half.
In 5 out of 7 last matches, Kurim won the second half.
Kurim won in 10 out of last 12 home matches.
Kurim does not lose at home over last 12 matches.
In 6 out of 7 last matches where Kurim played at home, both teams scored.

Summary

*Click on a table cell to see a tooltip
Matches
30
1
Wins
57% (17)
0% (0)
Draws
20% (6)
0% (0)
Defeats
23% (7)
100% (1)
Match Total (Avg.)
3.2
5
- Kurim value is better
- Bystrc value is better

Trends

*Click on a trend to see details
Win Or Defeat
7 / 7
Both Teams To Score (Yes)
9 / 12

Streaks

*Matches in a row with a given outcome
Win Or Defeat
7
1

Team outcomes

Kurim
Bystrc
H2H
Based on number of matches: 30
1 X 2
Wins
57% (17)
Draws
20% (6)
Defeats
23% (7)
Double Chance
Wins Or Draws
77% (23)
Wins Or Defeats
80% (24)
Draws Or Defeats
43% (13)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Kurim - Bystrc - score, tip, statistics

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

Other useful information:
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  3. Mathematical analysis tools for matches
  4. Individual statistics of teams and players
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