Kryvbas KR vs Veres Rivne: result 0-1 and analysis
Premier LeagueRegular Season - 4Kick-off on September 10, 2022 at 12:00 PM (UTC)NSK Olimpijs'kyj (old), Kiev
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What was the result of Kryvbas KR vs Veres Rivne?
Veres Rivne won 0-1 on September 10, 2022.
Goalscorers
- 28′V. DakhnovskyiVeres Rivne
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kryvbas KR have 6 wins, 6 draws and 3 defeats; Veres Rivne have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 4, 2022 | Lviv(home) | 0-0 | Premier League |
| Aug 28, 2022 | Shakhtar Donetsk(away) | 0-1 | Premier League |
| Aug 23, 2022 | Kolos Kovalivka(away) | 0-1 | Premier League |
| Jul 17, 2022 | Inhulets(home) | 0-1 | Friendlies Clubs |
| Jul 12, 2022 | Oleksandria(home) | 1-1 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2022 | Dnipro-1(away) | 0-2 | Premier League |
| Aug 27, 2022 | Vorskla Poltava(away) | 2-1 | Premier League |
| Aug 23, 2022 | Chornomorets(away) | 1-0 | Premier League |
| Aug 13, 2022 | Ruh Lviv(away) | 0-2 | Friendlies Clubs |
| Aug 6, 2022 | Kolos Kovalivka(away) | 1-0 | Friendlies Clubs |
How many goals should we expect?
Kryvbas KR score 1.2 and concede 0.5 goals per match over their last 15; Veres Rivne score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kryvbas KR | 1.2 | 0.5 | 7 | 5/15 | 5/15 |
| Veres Rivne | 1.1 | 1.3 | 4 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Kryvbas KR sit 7th in Premier League (4 points from 3 matches) and Veres Rivne sit 14th (1 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Kryvbas KR | 3 | 1 | 1 | 1 | 5 | 6 | 4 |
| 14 | Veres Rivne | 3 | 0 | 1 | 2 | 1 | 3 | 1 |
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy