Metalurh Zaporizhya vs Khust City: result 1-4 and analysis
Persha LigaRelegation Round - 1Kick-off on March 23, 2024 at 11:00 AM (UTC)Slavutych-Arena, Zaporizhzhia
Full time
What was the result of Metalurh Zaporizhya vs Khust City?
Khust City won 1-4 on March 23, 2024.
Goalscorers
- 19′V. VasylchenkoMetalurh Zaporizhya
- 20′V. ShevchukKhust City
- 48′Serhii NovikovKhust City
- 73′V. ChabanKhust City
- 75′V. GarnagaKhust City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Metalurh Zaporizhya have 6 wins, 5 draws and 4 defeats; Khust City have 3, 1 and 11.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2023 | Dinaz Vyshhorod(away) | 0-1 | Persha Liga |
| Nov 19, 2023 | Yarud Mariupol'(home) | 0-0 | Persha Liga |
| Nov 12, 2023 | Livyi Bereh(away) | 0-1 | Persha Liga |
| Nov 5, 2023 | Inhulets(home) | 0-0 | Persha Liga |
| Oct 29, 2023 | Chernihiv(away) | 3-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 10, 2024 | Prykarpattia(home) | 0-3 | Friendlies Clubs |
| Jan 31, 2024 | Minai(away) | 2-3 | Friendlies Clubs |
| Nov 24, 2023 | Metal Kharkiv(home) | 1-2 | Persha Liga |
| Nov 18, 2023 | Nyva Ternopil(away) | 1-4 | Persha Liga |
| Nov 12, 2023 | Nyva Buzova(home) | 0-1 | Persha Liga |
How many goals should we expect?
Metalurh Zaporizhya score 1.5 and concede 1.1 goals per match over their last 15; Khust City score 1.1 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Metalurh Zaporizhya | 1.5 | 1.1 | 3 | 9/15 | 7/15 |
| Khust City | 1.1 | 2.2 | 2 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 16 | Metalurh Zaporizhya | 30 | 4 | 7 | 19 | 16 | 61 | 19 |
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