Tsarsko Selo vs Lokomotiv Sofia: result 3-0 and analysis
Second LeagueRegular Season - 28Kick-off on May 13, 2017 at 03:00 PM (UTC)Tsarsko selo Complex, Sofia
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What was the result of Tsarsko Selo vs Lokomotiv Sofia?
Tsarsko Selo won 3-0 on May 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tsarsko Selo have 8 wins, 2 draws and 5 defeats; Lokomotiv Sofia have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Pomorie(away) | 1-1 | Second League |
| Apr 30, 2017 | Septemvri Sofia(home) | 1-1 | Second League |
| Apr 22, 2017 | Spartak Pleven(away) | 3-1 | Second League |
| Apr 14, 2017 | Oborishte(home) | 3-0 | Second League |
| Apr 9, 2017 | Levski Karlovo(away) | 3-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Sozopol(home) | 3-1 | Second League |
| Apr 30, 2017 | Vitosha Bistritsa(away) | 2-0 | Second League |
| Apr 24, 2017 | CSKA Sofia II(home) | 2-2 | Second League |
| Apr 14, 2017 | Botev Galabovo(away) | 1-2 | Second League |
| Apr 10, 2017 | Botev Vratsa(home) | 2-0 | Second League |
What does the head-to-head say?
In the last meeting: 0 Tsarsko Selo wins, 0 draws, 1 Lokomotiv Sofia win.
| Date | Score | Competition |
|---|---|---|
| Nov 20, 2016 | Lokomotiv Sofia 2-1 Tsarsko Selo | Second League |
Last archived meeting: Lokomotiv Sofia vs Tsarsko Selo on Nov 20, 2016
How many goals should we expect?
Tsarsko Selo score 1.9 and concede 1.1 goals per match over their last 15; Lokomotiv Sofia score 1.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tsarsko Selo | 1.9 | 1.1 | 4 | 11/15 | 11/15 |
| Lokomotiv Sofia | 1.9 | 0.9 | 7 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Tsarsko Selo vs Lokomotiv Sofia?
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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