Nosaby vs Eslov: result 0-2 and analysis
Division 2 - Södra GötalandÖstra Götaland - 10Kick-off on June 28, 2021 at 05:15 PM (UTC)Nya Vallbjörka, Kristianstad
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What was the result of Nosaby vs Eslov?
Eslov won 0-2 on June 28, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nosaby have 8 wins, 3 draws and 4 defeats; Eslov have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 14, 2021 | IFK Hässleholm(away) | 0-0 | Division 2 - Södra Götaland |
| Jun 9, 2021 | Asarum(home) | 1-1 | Division 2 - Södra Götaland |
| Jun 5, 2021 | Prespa Birlik(home) | 3-0 | Division 2 - Södra Götaland |
| Oct 18, 2020 | Syrianska FC(away) | 2-0 | Division 2 - Södra Götaland |
| Oct 10, 2020 | Kristianstad(home) | 3-1 | Division 2 - Södra Götaland |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2021 | Balkan(away) | 3-0 | Division 2 - Södra Götaland |
| Jun 18, 2021 | IFK Hässleholm(home) | 1-4 | Division 2 - Södra Götaland |
| Jun 13, 2021 | Berga(away) | 1-2 | Division 2 - Södra Götaland |
| Jun 9, 2021 | Sölvesborg(home) | 4-3 | Division 2 - Södra Götaland |
| Jun 5, 2021 | Rosengård(away) | 1-2 | Division 2 - Södra Götaland |
How many goals should we expect?
Nosaby score 2.1 and concede 1.3 goals per match over their last 15; Eslov score 1.7 and concede 2.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nosaby | 2.1 | 1.3 | 5 | 10/15 | 10/15 |
| Eslov | 1.7 | 2.3 | 1 | 12/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Nosaby | 25 | 12 | 6 | 7 | 47 | 40 | 42 |
A question about Nosaby vs Eslov?
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