Bansko vs Nesebar: result 2-0 and analysis
Second LeagueRegular Season - 23Kick-off on April 10, 2017 at 02:00 PM (UTC)Stadion Sveti Petar, Bansko
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What was the result of Bansko vs Nesebar?
Bansko won 2-0 on April 10, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bansko have 3 wins, 2 draws and 10 defeats; Nesebar have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 1, 2017 | Tsarsko Selo(away) | 0-4 | Second League |
| Mar 20, 2017 | Sozopol(home) | 0-2 | Second League |
| Mar 11, 2017 | Vitosha Bistritsa(away) | 1-4 | Second League |
| Mar 5, 2017 | CSKA Sofia II(home) | 2-1 | Second League |
| Feb 25, 2017 | Botev Galabovo(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 3, 2017 | Ludogorets II(away) | 0-3 | Second League |
| Mar 18, 2017 | Tsarsko Selo(home) | 2-1 | Second League |
| Mar 11, 2017 | Sozopol(away) | 3-3 | Second League |
| Mar 3, 2017 | Vitosha Bistritsa(home) | 1-0 | Second League |
| Feb 26, 2017 | CSKA Sofia II(away) | 0-2 | Second League |
What does the head-to-head say?
In the last meeting: 0 Bansko wins, 0 draws, 1 Nesebar win.
| Date | Score | Competition |
|---|---|---|
| Oct 1, 2016 | Nesebar 4-1 Bansko | Second League |
How many goals should we expect?
Bansko score 0.9 and concede 2.1 goals per match over their last 15; Nesebar score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bansko | 0.9 | 2.1 | 1 | 8/15 | 8/15 |
| Nesebar | 1.5 | 1.9 | 2 | 9/15 | 11/15 |
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 | Nesebar | 12 | 5 | 3 | 4 | 20 | 17 | 18 |
A question about Bansko vs Nesebar?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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