Inhulets vs Kobra: prediction and stats
Persha LigaRegular Season - 14Kick-off on October 20, 2018 at 12:00 AM (UTC)Stadion Inhulets, Petrove
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Inhulets have 8 wins, 3 draws and 4 defeats; Kobra have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2018 | Obolon'-Brovar(away) | 1-1 | Persha Liga |
| Oct 7, 2018 | Dnipro-1(home) | 1-2 | Persha Liga |
| Sep 30, 2018 | Sumy(away) | 1-0 | Persha Liga |
| Sep 26, 2018 | Myr(away) | 3-0 | Cup |
| Sep 23, 2018 | Volyn(home) | 1-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2018 | Desna(away) | 0-5 | Persha Liga |
| May 12, 2018 | Hirnyk-Sport(home) | 1-3 | Persha Liga |
| May 6, 2018 | Ruh Lviv(away) | 0-3 | Persha Liga |
| May 2, 2018 | Poltava(home) | 0-2 | Persha Liga |
| Apr 27, 2018 | Volyn(away) | 0-2 | Persha Liga |
What does the head-to-head say?
Across the last 4 meetings: 2 Inhulets wins, 1 draw, 1 Kobra win.
| Date | Score | Competition |
|---|---|---|
| Apr 18, 2018 | Kobra 0-2 Inhulets | Persha Liga |
| Sep 10, 2017 | Inhulets 4-0 Kobra | Persha Liga |
| Apr 7, 2017 | Inhulets 0-0 Kobra | Persha Liga |
| Sep 2, 2016 | Kobra 1-0 Inhulets | Persha Liga |
How many goals should we expect?
Inhulets score 1.3 and concede 0.9 goals per match over their last 15; Kobra score 0.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Inhulets | 1.3 | 0.9 | 7 | 6/15 | 5/15 |
| Kobra | 0.7 | 2.1 | 3 | 5/15 | 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 | 10 | 4 | 2 | 4 | 10 | 12 | 14 |
A question about Inhulets vs Kobra?
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