Rubin Yalta vs Kyzyltash: result 4-0 and analysis
Premier LeagueRegular Season - 13Kick-off on November 20, 2021 at 11:00 AM (UTC)Stadion Avanhard, Yalta
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What was the result of Rubin Yalta vs Kyzyltash?
Rubin Yalta won 4-0 on November 20, 2021.
Goalscorers
- 48′?Rubin Yalta
- 59′?Rubin Yalta
- 61′?Rubin Yalta
- 90′R. SuanovRubin Yalta
What is the recent form of both teams?
Over their last 9 matches in all competitions, Rubin Yalta have 2 wins, 1 draws and 6 defeats; Kyzyltash have 4, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2021 | Ocean Kerch(home) | 1-1 | Premier League |
| Oct 23, 2021 | SKCHF Sevastopol(home) | 3-1 | Premier League |
| Oct 17, 2021 | Yevpatoriya(home) | 0-2 | Premier League |
| Oct 2, 2021 | TSK Simferopol(home) | 0-1 | Premier League |
| Sep 26, 2021 | Kyzyltash(away) | 0-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2021 | TSK Simferopol(away) | 1-2 | Premier League |
| Oct 30, 2021 | SKCHF Sevastopol(away) | 1-2 | Premier League |
| 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 |
What does the head-to-head say?
Across the last 1 meetings: 0 Rubin Yalta win(s), 0 draw(s), 1 Kyzyltash win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 26, 2021 | Kyzyltash 1-0 Rubin Yalta | Premier League |
Last archived meeting: Kyzyltash vs Rubin Yalta on Sep 26, 2021
How many goals should we expect?
Rubin Yalta score 0.8 and concede 1.6 goals per match over their last 9; Kyzyltash score 1.3 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rubin Yalta | 0.8 | 1.6 | 0 | 4/9 | 3/9 |
| Kyzyltash | 1.3 | 1.4 | 2 | 6/11 | 5/11 |
Over the last 9 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