Kremin' vs Mykolaiv: result 2-2 and analysis
Persha LigaRegular Season - 23Kick-off on March 17, 2018 at 01:00 PM (UTC)Kremin'-Arena im. Olega Babaeva, Kremenchuk
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What was the result of Kremin' vs Mykolaiv?
Kremin' and Mykolaiv drew 2-2 on March 17, 2018.
Goalscorers
- 10′Ivan YanakovKremin'
- 39′Ihor SikorskyiMykolaiv
- 56′Y. KovalenkoKremin'
- 79′Vladislav AvramenkoMykolaiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kremin' have 5 wins, 3 draws and 7 defeats; Mykolaiv have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | Obolon'-Brovar(away) | 2-1 | Persha Liga |
| Nov 11, 2017 | Kolos Kovalivka(home) | 0-1 | Persha Liga |
| Nov 4, 2017 | Sumy(home) | 0-2 | Persha Liga |
| Oct 29, 2017 | Naftovyk-Ukrnafta(away) | 2-1 | Persha Liga |
| Oct 21, 2017 | Cherkaskyi Dnipro(home) | 1-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 18, 2017 | Sumy(home) | 0-0 | Persha Liga |
| Nov 11, 2017 | Naftovyk-Ukrnafta(away) | 0-1 | Persha Liga |
| Nov 5, 2017 | Cherkaskyi Dnipro(home) | 3-0 | Persha Liga |
| Oct 30, 2017 | Arsenal Kyiv(away) | 0-3 | Persha Liga |
| Oct 21, 2017 | Zhemchuzhyna Odesa(home) | 4-1 | Persha Liga |
What does the head-to-head say?
Across the last 2 meetings: 1 Kremin' win(s), 0 draw(s), 1 Mykolaiv win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2017 | Mykolaiv 2-0 Kremin' | Persha Liga |
| Aug 22, 2012 | Kremin' 2-1 Mykolaiv | Cup |
How many goals should we expect?
Kremin' score 0.9 and concede 1.3 goals per match over their last 15; Mykolaiv score 1.1 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kremin' | 0.9 | 1.3 | 2 | 7/15 | 5/15 |
| Mykolaiv | 1.1 | 1.8 | 3 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
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