Dynamo Kyiv vs Manchester City: result 1-3 and analysis
UEFA Champions League8th FinalsKick-off on February 24, 2016 at 07:45 PM (UTC)NSK Olimpijs'kyj (old), Kiev
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What was the result of Dynamo Kyiv vs Manchester City?
Manchester City won 1-3 on February 24, 2016.
Goalscorers
- 15′S. AgüeroManchester City
- 40′David SilvaManchester City
- 58′V. BuyalskyiDynamo Kyiv
- 90′Yaya TouréManchester City
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dynamo Kyiv have 12 wins, 1 draws and 2 defeats; Manchester City have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 9, 2015 | Maccabi Tel Aviv(home) | 1-0 | UEFA Champions League |
| Dec 4, 2015 | Metalurh Zaporizhya(away) | 6-0 | Premier League |
| Nov 29, 2015 | Chornomorets(home) | 2-1 | Premier League |
| Nov 24, 2015 | FC Porto(away) | 2-0 | UEFA Champions League |
| Nov 20, 2015 | Olimpik Donetsk(away) | 3-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 21, 2016 | Chelsea(away) | 1-5 | FA Cup |
| Feb 14, 2016 | Tottenham(home) | 1-2 | Premier League |
| Feb 6, 2016 | Leicester(home) | 1-3 | Premier League |
| Feb 2, 2016 | Sunderland(away) | 1-0 | Premier League |
| Jan 30, 2016 | Aston Villa(away) | 4-0 | FA Cup |
How many goals should we expect?
Dynamo Kyiv score 2.3 and concede 0.4 goals per match over their last 15; Manchester City score 1.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dynamo Kyiv | 2.3 | 0.4 | 12 | 2/15 | 7/15 |
| Manchester City | 1.9 | 1.3 | 6 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Manchester City | 8 | 5 | 1 | 2 | 15 | 9 | 16 |
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