Dnipro-1 vs Inhulets: result 3-3 and analysis
Persha LigaRegular Season - 27Kick-off on May 5, 2019 at 02:00 PM (UTC)Dnipro Arena, Dnipro
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What was the result of Dnipro-1 vs Inhulets?
Dnipro-1 and Inhulets drew 3-3 on May 5, 2019.
Goalscorers
- 26′Nika SichinavaInhulets
- 48′M. PyskoInhulets
- 50′Oleksii ChychykovDnipro-1
- 56′O. MishurenkoInhulets
- 85′I. KogutDnipro-1
- 90′V. YavorskyiDnipro-1
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dnipro-1 have 12 wins, 2 draws and 1 defeats; Inhulets have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2019 | Balkany Zorya(away) | 2-0 | Persha Liga |
| Apr 22, 2019 | Kramatorsk(home) | 1-0 | Persha Liga |
| Apr 17, 2019 | Shakhtar Donetsk(home) | 0-2 | Cup |
| Apr 12, 2019 | Sumy(home) | 7-0 | Persha Liga |
| Apr 7, 2019 | Vorskla Poltava(home) | 2-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2019 | Sumy(home) | 6-0 | Persha Liga |
| Apr 25, 2019 | Volyn(away) | 1-2 | Persha Liga |
| Apr 17, 2019 | Zorya Luhansk(home) | 2-1 | Cup |
| Apr 7, 2019 | Karpaty(home) | 2-2 | Cup |
| Apr 3, 2019 | Hirnyk-Sport(away) | 1-1 | Persha Liga |
What does the head-to-head say?
Across the last 1 meetings: 1 Dnipro-1 win(s), 0 draw(s), 0 Inhulets win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 7, 2018 | Inhulets 1-2 Dnipro-1 | Persha Liga |
How many goals should we expect?
Dnipro-1 score 2.6 and concede 0.4 goals per match over their last 15; Inhulets score 1.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dnipro-1 | 2.6 | 0.4 | 10 | 4/15 | 9/15 |
| Inhulets | 1.5 | 1.3 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Inhulets | 4 | 1 | 1 | 2 | 5 | 8 | 4 |
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