Aspudden-Tellus vs Sleipner: result 3-2 and analysis
Division 2 - Södra SvealandRegular Season - 2Kick-off on April 14, 2018 at 02:00 PM (UTC)Aspuddens IP, Stockholm
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What was the result of Aspudden-Tellus vs Sleipner?
Aspudden-Tellus won 3-2 on April 14, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aspudden-Tellus have 4 wins, 4 draws and 7 defeats; Sleipner have 8, 3 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2018 | AFK Linköping(away) | 1-1 | Division 2 - Södra Svealand |
| Oct 15, 2017 | Eskilstuna City(home) | 1-1 | Division 2 - Norra Svealand |
| Oct 7, 2017 | Strömsberg(away) | 3-0 | Division 2 - Norra Svealand |
| Sep 30, 2017 | Karlslund(home) | 1-2 | Division 2 - Norra Svealand |
| Sep 23, 2017 | Forward(home) | 0-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2018 | Nora(home) | 1-2 | Division 2 - Södra Svealand |
| Oct 14, 2017 | Kumla(away) | 2-2 | Division 2 - Södra Svealand |
| Oct 8, 2017 | Motala(home) | 2-4 | Division 2 - Södra Svealand |
| Oct 2, 2017 | Sylvia(away) | 1-0 | Division 2 - Södra Svealand |
| Sep 23, 2017 | Haninge(away) | 0-4 | Division 2 - Södra Svealand |
How many goals should we expect?
Aspudden-Tellus score 1.4 and concede 2.0 goals per match over their last 15; Sleipner score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aspudden-Tellus | 1.4 | 2.0 | 1 | 10/15 | 11/15 |
| Sleipner | 1.7 | 1.4 | 4 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Sleipner | 25 | 14 | 6 | 5 | 51 | 36 | 48 |
A question about Aspudden-Tellus vs Sleipner?
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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