SKCHF Sevastopol vs Kyzyltash: result 2-1 and analysis
Premier LeagueRegular Season - 10Kick-off on October 30, 2021 at 12:00 PM (UTC)SK Sevastopol', Sevastopol'
Full time
What was the result of SKCHF Sevastopol vs Kyzyltash?
SKCHF Sevastopol won 2-1 on October 30, 2021.
Goalscorers
- 10′?SKCHF Sevastopol
- 26′?SKCHF Sevastopol
- 53′?Kyzyltash
What is the recent form of both teams?
Over their last 8 matches in all competitions, SKCHF Sevastopol have 6 wins, 1 draws and 1 defeats; Kyzyltash have 4, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Rubin Yalta(away) | 1-3 | Premier League |
| Oct 17, 2021 | Gvardeyets(home) | 1-0 | Premier League |
| Oct 2, 2021 | Yevpatoriya(away) | 2-1 | Premier League |
| Sep 26, 2021 | Ocean Kerch(home) | 4-1 | Premier League |
| Sep 20, 2021 | TSK Simferopol(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 24, 2021 | Gvardeyets(home) | 3-3 | Premier League |
| Oct 17, 2021 | Ocean Kerch(away) | 3-1 | Premier League |
| Oct 3, 2021 | Alushta(home) | 1-0 | Premier League |
| Sep 26, 2021 | Rubin Yalta(home) | 1-0 | Premier League |
| Sep 20, 2021 | Yevpatoriya(away) | 3-2 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 1 SKCHF Sevastopol win(s), 0 draw(s), 0 Kyzyltash win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 4, 2021 | Kyzyltash 0-2 SKCHF Sevastopol | Premier League |
Last archived meeting: Kyzyltash vs SKCHF Sevastopol on Sep 4, 2021
How many goals should we expect?
SKCHF Sevastopol score 2.0 and concede 0.9 goals per match over their last 8; Kyzyltash score 1.3 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SKCHF Sevastopol | 2.0 | 0.9 | 3 | 5/8 | 4/8 |
| Kyzyltash | 1.3 | 1.2 | 2 | 4/9 | 3/9 |
Over the last 8 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