Nesebar vs Pomorie: result 0-1 and analysis
Second LeagueRegular Season - 28Kick-off on May 13, 2017 at 03:00 PM (UTC)Gradski stadion, Nesebar
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What was the result of Nesebar vs Pomorie?
Pomorie won 0-1 on May 13, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nesebar have 5 wins, 4 draws and 6 defeats; Pomorie 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 | Septemvri Sofia(away) | 0-4 | Second League |
| Apr 30, 2017 | Spartak Pleven(home) | 3-1 | Second League |
| Apr 22, 2017 | Oborishte(away) | 0-0 | Second League |
| Apr 14, 2017 | Levski Karlovo(home) | 4-0 | Second League |
| Apr 10, 2017 | Bansko(away) | 0-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 6, 2017 | Tsarsko Selo(home) | 1-1 | Second League |
| Apr 30, 2017 | Sozopol(away) | 0-0 | Second League |
| Apr 22, 2017 | Vitosha Bistritsa(home) | 1-0 | Second League |
| Apr 14, 2017 | CSKA Sofia II(away) | 1-0 | Second League |
| Apr 8, 2017 | Botev Galabovo(home) | 1-0 | Second League |
What does the head-to-head say?
In the last meeting: 0 Nesebar wins, 0 draws, 1 Pomorie win.
| Date | Score | Competition |
|---|---|---|
| Nov 19, 2016 | Pomorie 3-1 Nesebar | Second League |
How many goals should we expect?
Nesebar score 1.3 and concede 1.9 goals per match over their last 15; Pomorie score 1.3 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nesebar | 1.3 | 1.9 | 3 | 7/15 | 10/15 |
| Pomorie | 1.3 | 0.8 | 7 | 6/15 | 6/15 |
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 Nesebar vs Pomorie?
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