Kryvbas KR vs Metalurh Zaporizhya: result 3-1 and analysis
Druha Liga - Group BRegular Season - 3Kick-off on August 4, 2018 at 02:00 PM (UTC)Stadion Hirnyk, Kryvyi Rih
Full time
What was the result of Kryvbas KR vs Metalurh Zaporizhya?
Kryvbas KR won 3-1 on August 4, 2018.
Goalscorers
- 49′Serhii GvozdevychKryvbas KR
- 51′S. DyachenkoMetalurh Zaporizhya
- 71′Ihor BukaKryvbas KR
- 75′Ihor BukaKryvbas KR
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kryvbas KR have 5 wins, 5 draws and 5 defeats; Metalurh Zaporizhya have 2, 0 and 13.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2018 | Real Pharm(away) | 1-3 | Druha Liga - Group B |
| Jul 22, 2018 | Tavriya(home) | 3-3 | Druha Liga - Group B |
| Jul 17, 2018 | Naftovyk-Ukrnafta(away) | 3-0 | Cup |
| Jun 1, 2016 | Zirka(away) | 1-2 | Persha Liga |
| May 26, 2016 | Nyva Ternopil(home) | 0-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2018 | Mykolaiv II(home) | 4-0 | Druha Liga - Group B |
| Jul 22, 2018 | Real Pharm(away) | 0-1 | Druha Liga - Group B |
| Jul 18, 2018 | Podillya Khmelnytskyi(away) | 2-0 | Cup |
| Jun 2, 2018 | Tavriya(away) | 0-9 | Druha Liga - Group B |
| May 26, 2018 | Inhulets II(home) | 2-4 | Druha Liga - Group B |
How many goals should we expect?
Kryvbas KR score 1.4 and concede 1.1 goals per match over their last 15; Metalurh Zaporizhya score 0.7 and concede 3.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kryvbas KR | 1.4 | 1.1 | 8 | 6/15 | 10/15 |
| Metalurh Zaporizhya | 0.7 | 3.5 | 2 | 4/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Metalurh Zaporizhya | 19 | 13 | 6 | 0 | 34 | 7 | 45 |
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