Results and statistics of the match Rukh Lviv - Nyva Ternopil (5 July 2025 10:00)

Match statistics and team analysis

Detailed analysis of the match Rukh Lviv - Nyva Ternopil (Club Friendly).

Championship: Club Friendly (World). Championship statistics: average goals per match: 1.40 , average goals conceded: 1.33.

Teams: Rukh Lviv vs Nyva Ternopil.

Team form: Rukh Lviv: 10% , Nyva Ternopil: 30%. Team form reflects recent performance and is one of the key factors in our predictions.

Match statistics: Rukh Lviv: wins 20% , draws 70% , losses 10%. , Nyva Ternopil: , draws 60% , losses 40%.

Goals statistics (average in recent matches): Rukh Lviv: 0.80 goals scored, 0.60 goals conceded , Nyva Ternopil: 1.00 goals scored, 0.80 goals conceded.

This page contains detailed match results and statistics, including goals, cards, corners, possession, shots on target, and other advanced metrics. Use this data to analyze team performance and improve your understanding of football statistics.

5 July 2025 10:00
1 - 2
Finished

Fixtures Rukh Lviv

25 April 2026 15:00
Home win (1)
6%
Draw (X)
20%
Away win (2)
74%
Most likely score
0-1 (16%)
Total over 2.5
45%
Total under 2.5
55%
2 May 2026 15:00
Home win (1)
22%
Draw (X)
23%
Away win (2)
55%
Most likely score
1-1 (10%)
Total over 2.5
59%
Total under 2.5
41%
9 May 2026 15:00
Home win (1)
31%
Draw (X)
28%
Away win (2)
41%
Most likely score
1-1 (13%)
Total over 2.5
43%
Total under 2.5
57%

Fixtures Nyva Ternopil

25 April 2026 14:00
Home win (1)
68%
Draw (X)
25%
Away win (2)
7%
Most likely score
1-0 (22%)
Total over 2.5
31%
Total under 2.5
69%
2 May 2026 14:00
Home win (1)
15%
Draw (X)
30%
Away win (2)
55%
Most likely score
0-1 (21%)
Total over 2.5
27%
Total under 2.5
73%
9 May 2026 14:00
Home win (1)
30%
Draw (X)
33%
Away win (2)
37%
Most likely score
0-0 (16%)
Total over 2.5
28%
Total under 2.5
72%
Cookie Policy

By continuing to use our site, you agree to the processing of cookies: language and time zone of the operating system and browser. The data is processed to provide correct data.