Mykolaiv vs Sevastopol: result 0-3 and analysis
Persha LigaMatchday 20Kick-off on November 17, 2012 at 12:00 PM (UTC)Tsentralnyi miskyi Stadion, Mykolajiv
Full time
What was the result of Mykolaiv vs Sevastopol?
Sevastopol won 0-3 on November 17, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Mykolaiv have 7 wins, 3 draws and 5 defeats; Sevastopol have 11, 2 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 10, 2012 | Krymteplitsia(away) | 0-2 | Persha Liga |
| Nov 3, 2012 | Kobra(away) | 2-2 | Persha Liga |
| Oct 27, 2012 | Arsenal Bila Tserkva(away) | 3-1 | Persha Liga |
| Oct 20, 2012 | Naftovyk-Ukrnafta(home) | 0-2 | Persha Liga |
| Oct 15, 2012 | Dynamo Kyiv II(away) | 2-1 | Persha Liga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 9, 2012 | Arsenal Bila Tserkva(home) | 3-0 | Persha Liga |
| Nov 4, 2012 | Naftovyk-Ukrnafta(away) | 1-2 | Persha Liga |
| Oct 31, 2012 | Nyva Ternopil(away) | 2-0 | Cup |
| Oct 26, 2012 | Dynamo Kyiv II(away) | 4-2 | Persha Liga |
| Oct 21, 2012 | Odesa(home) | 6-0 | Persha Liga |
What does the head-to-head say?
Across the last 3 meetings: 0 Mykolaiv wins, 1 draw, 2 Sevastopol wins.
| Date | Score | Competition |
|---|---|---|
| Jul 27, 2012 | Sevastopol 0-0 Mykolaiv | Persha Liga |
| Apr 28, 2012 | Mykolaiv 0-1 Sevastopol | Persha Liga |
| Sep 16, 2011 | Sevastopol 3-0 Mykolaiv | Persha Liga |
Last archived meeting: Sevastopol vs Mykolaiv on Jul 27, 2012
How many goals should we expect?
Mykolaiv score 1.3 and concede 1.3 goals per match over their last 15; Sevastopol score 2.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mykolaiv | 1.3 | 1.3 | 5 | 6/15 | 6/15 |
| Sevastopol | 2.3 | 0.8 | 6 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
A question about Mykolaiv vs Sevastopol?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy