Dnipro-1 vs Karpaty: prediction and stats
Premier LeagueRelegation Round - 9Kick-off on July 15, 2020 at 12:00 AM (UTC)Dnipro Arena, Dnipropetrovs'k
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dnipro-1 have 8 wins, 1 draw and 6 defeats; Karpaty have 0, 7 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 11, 2020 | Lviv(home) | 3-2 | Premier League |
| Jul 5, 2020 | Olimpik Donetsk(away) | 2-0 | Premier League |
| Jun 28, 2020 | FC Mariupol(away) | 1-2 | Premier League |
| Jun 19, 2020 | Vorskla Poltava(away) | 0-2 | Premier League |
| Jun 13, 2020 | Inhulets(home) | 0-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2020 | Lviv(home) | 1-1 | Premier League |
| Mar 14, 2020 | Lviv(away) | 1-1 | Premier League |
| Mar 8, 2020 | Lviv(away) | 0-0 | Premier League |
| Mar 4, 2020 | Oleksandria(home) | 0-4 | Premier League |
| Feb 29, 2020 | Kolos Kovalivka(away) | 1-2 | Premier League |
What does the head-to-head say?
Across the last 2 meetings: 1 Dnipro-1 win, 1 draw, 0 Karpaty wins.
| Date | Score | Competition |
|---|---|---|
| Feb 23, 2020 | Karpaty 1-1 Dnipro-1 | Premier League |
| Sep 20, 2019 | Dnipro-1 2-0 Karpaty | Premier League |
How many goals should we expect?
Dnipro-1 score 1.6 and concede 1.5 goals per match over their last 15; Karpaty score 0.8 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dnipro-1 | 1.6 | 1.5 | 4 | 8/15 | 9/15 |
| Karpaty | 0.8 | 1.9 | 2 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Karpaty | 8 | 4 | 2 | 2 | 15 | 6 | 14 |
A question about Dnipro-1 vs Karpaty?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy