Nesebar vs Ludogorets II: result 1-4 and analysis
Second LeagueRegular Season - 7Kick-off on September 25, 2016 at 02:00 PM (UTC)Gradski stadion, Nesebar
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What was the result of Nesebar vs Ludogorets II?
Ludogorets II won 1-4 on September 25, 2016.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Nesebar have 3 wins, 2 draws and 1 defeat; Ludogorets II have 1, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Tsarsko Selo(away) | 2-0 | Second League |
| Sep 10, 2016 | Sozopol(home) | 0-0 | Second League |
| Aug 27, 2016 | Vitosha Bistritsa(away) | 1-0 | Second League |
| Aug 21, 2016 | CSKA Sofia II(home) | 0-0 | Second League |
| Aug 13, 2016 | Botev Galabovo(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2016 | Lokomotiv Sofia(home) | 0-0 | Second League |
| Sep 10, 2016 | Tsarsko Selo(away) | 0-1 | Second League |
| Aug 26, 2016 | Pomorie(home) | 4-0 | Second League |
| Aug 21, 2016 | Sozopol(away) | 0-2 | Second League |
| Aug 14, 2016 | Septemvri Sofia(home) | 1-3 | Second League |
How many goals should we expect?
Nesebar score 0.8 and concede 0.2 goals per match over their last 6; Ludogorets II score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nesebar | 0.8 | 0.2 | 5 | 0/6 | 0/6 |
| Ludogorets II | 0.8 | 1.0 | 3 | 1/6 | 2/6 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Nesebar sit 7th in Second League (18 points from 12 matches) and Ludogorets II sit 13th (15 points from 11 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Nesebar | 12 | 5 | 3 | 4 | 20 | 17 | 18 |
| 13 | Ludogorets II | 11 | 4 | 3 | 4 | 12 | 12 | 15 |
A question about Nesebar vs Ludogorets II?
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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