Chernihiv vs Yarud Mariupol': result 2-1 and analysis
Persha LigaRelegation Round - 1Kick-off on April 8, 2023 at 09:00 AM (UTC)Stadion Yunist, Chernihiv
Full time
What was the result of Chernihiv vs Yarud Mariupol'?
Chernihiv won 2-1 on April 8, 2023.
Goalscorers
- 25′M. SerdyukChernihiv
- 86′Y. DobrokhotovYarud Mariupol' (pen.)
- 90′M. SerdyukChernihiv
What is the recent form of both teams?
Over their last 15 matches in all competitions, Chernihiv have 5 wins, 4 draws and 6 defeats; Yarud Mariupol' have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 27, 2022 | Kremin'(away) | 0-3 | Persha Liga |
| Nov 24, 2022 | Hirnyk-Sport(away) | 2-0 | Persha Liga |
| Nov 20, 2022 | SK Poltava(home) | 0-1 | Persha Liga |
| Nov 12, 2022 | LNZ Cherkasy(away) | 2-2 | Persha Liga |
| Nov 5, 2022 | Metalurh Zaporizhya(home) | 0-0 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 26, 2022 | Dinaz Vyshhorod(away) | 4-1 | Persha Liga |
| Nov 20, 2022 | Bukovyna(home) | 0-1 | Persha Liga |
| Nov 12, 2022 | Nyva Ternopil(away) | 1-1 | Persha Liga |
| Nov 5, 2022 | Epitsentr Dunayivtsi(home) | 0-1 | Persha Liga |
| Oct 29, 2022 | Polessya(home) | 0-2 | Persha Liga |
How many goals should we expect?
Chernihiv score 1.1 and concede 1.2 goals per match over their last 15; Yarud Mariupol' score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Chernihiv | 1.1 | 1.2 | 4 | 6/15 | 5/15 |
| Yarud Mariupol' | 0.9 | 1.8 | 0 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Chernihiv sit 10th in Persha Liga (4 points from 4 matches) and Yarud Mariupol' sit 13th (3 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Chernihiv | 4 | 0 | 4 | 0 | 5 | 5 | 4 |
| 13 | Yarud Mariupol' | 4 | 1 | 0 | 3 | 3 | 7 | 3 |
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