Smedby vs Aspudden-Tellus: result 2-2 and analysis
Division 2 - Södra SvealandRegular Season - 13Kick-off on June 22, 2016 at 05:30 PM (UTC)PreZero Arena, Norrköping
Full time
What was the result of Smedby vs Aspudden-Tellus?
Smedby and Aspudden-Tellus drew 2-2 on June 22, 2016.
What is the recent form of both teams?
Over their last 12 matches in all competitions, Smedby have 3 wins, 3 draws and 6 defeats; Aspudden-Tellus have 6, 1 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2016 | Eskilstuna City(away) | 1-3 | Division 2 - Södra Svealand |
| Jun 11, 2016 | Arameiska / Syrianska(home) | 1-3 | Division 2 - Södra Svealand |
| Jun 5, 2016 | Sylvia(away) | 4-2 | Division 2 - Södra Svealand |
| May 28, 2016 | Vimmerby(home) | 1-1 | Division 2 - Södra Svealand |
| May 21, 2016 | Södertälje(home) | 4-2 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Södertälje(home) | 3-2 | Division 2 - Södra Svealand |
| Jun 12, 2016 | Konyaspor(away) | 6-1 | Division 2 - Södra Svealand |
| Jun 4, 2016 | Karlslund(home) | 4-0 | Division 2 - Södra Svealand |
| May 28, 2016 | Linköping City(away) | 1-2 | Division 2 - Södra Svealand |
| May 20, 2016 | Huddinge(home) | 1-2 | Division 2 - Södra Svealand |
How many goals should we expect?
Smedby score 2.0 and concede 2.0 goals per match over their last 12; Aspudden-Tellus score 2.2 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Smedby | 2.0 | 2.0 | 0 | 11/12 | 9/12 |
| Aspudden-Tellus | 2.2 | 1.5 | 4 | 6/12 | 9/12 |
Over the last 12 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Smedby | 25 | 10 | 6 | 9 | 44 | 37 | 36 |
A question about Smedby vs Aspudden-Tellus?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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