Spartak Pleven vs CSKA 1948: result 1-4 and analysis
Second LeagueRegular Season - 2Kick-off on July 27, 2019 at 05:00 PM (UTC)Gradski stadion, Lovech
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What was the result of Spartak Pleven vs CSKA 1948?
CSKA 1948 won 1-4 on July 27, 2019.
Goalscorers
- 12′A. GushterovCSKA 1948
- 43′C. IvaylovCSKA 1948
- 77′V. ShopovCSKA 1948
- 80′V. YoskovCSKA 1948
- 83′I. EmilovSpartak Pleven
What is the recent form of both teams?
Over their last 15 matches in all competitions, Spartak Pleven have 13 wins, 0 draws and 2 defeats; CSKA 1948 have 10, 4 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 20, 2019 | Hebar 1918(away) | 0-3 | Second League |
| Jun 2, 2019 | OFK Levski(home) | 3-0 | Third League - Northwest |
| May 24, 2019 | Sevlievo(away) | 2-0 | Third League - Northwest |
| May 19, 2019 | Pavlikeni(home) | 5-0 | Third League - Northwest |
| May 12, 2019 | Botev Lukovit(away) | 1-2 | Third League - Northwest |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 22, 2019 | Lokomotiv Sofia(home) | 2-0 | Second League |
| May 23, 2019 | Lokomotiv Sofia(home) | 3-1 | Second League |
| May 19, 2019 | Arda Kardzhali(away) | 0-1 | Second League |
| May 10, 2019 | Lokomotiv G. Oryahovitsa(home) | 4-0 | Second League |
| May 5, 2019 | Pomorie(away) | 2-1 | Second League |
How many goals should we expect?
Spartak Pleven score 2.4 and concede 0.5 goals per match over their last 15; CSKA 1948 score 1.6 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Spartak Pleven | 2.4 | 0.5 | 10 | 4/15 | 9/15 |
| CSKA 1948 | 1.6 | 0.5 | 9 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 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