Spartak Pleven vs CSKA Sofia II: result 3-4 and analysis
Second LeagueRegular Season - 7Kick-off on September 26, 2016 at 02:00 PM (UTC)Pleven Stadium, Pleven
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What was the result of Spartak Pleven vs CSKA Sofia II?
CSKA Sofia II won 3-4 on September 26, 2016.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Spartak Pleven have 2 wins, 2 draws and 2 defeats; CSKA Sofia II have 4, 1 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Botev Galabovo(away) | 1-0 | Second League |
| Sep 10, 2016 | Botev Vratsa(home) | 1-1 | Second League |
| Aug 28, 2016 | Etar Veliko Tarnovo(away) | 0-3 | Second League |
| Aug 22, 2016 | Lokomotiv Sofia(home) | 2-0 | Second League |
| Aug 13, 2016 | Pomorie(away) | 2-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 16, 2016 | Oborishte(home) | 1-0 | Second League |
| Sep 12, 2016 | Levski Karlovo(away) | 3-0 | Second League |
| Aug 28, 2016 | Bansko(home) | 3-2 | Second League |
| Aug 21, 2016 | Nesebar(away) | 0-0 | Second League |
| Aug 15, 2016 | Tsarsko Selo(home) | 1-2 | Second League |
How many goals should we expect?
Spartak Pleven score 1.0 and concede 1.7 goals per match over their last 6; CSKA Sofia II score 1.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Pleven | 1.0 | 1.7 | 2 | 2/6 | 3/6 |
| CSKA Sofia II | 1.7 | 0.7 | 4 | 2/6 | 3/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Spartak Pleven sit 7th in Second League (7 points from 4 matches) and CSKA Sofia II sit 2nd (10 points from 4 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | CSKA Sofia II | 4 | 3 | 1 | 0 | 9 | 4 | 10 |
| 7 | Spartak Pleven | 4 | 2 | 1 | 1 | 6 | 4 | 7 |
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