Aspudden-Tellus vs Haninge: result 1-1 and analysis
Division 2 - Södra SvealandRegular Season - 13Kick-off on June 27, 2018 at 05:30 PM (UTC)Aspuddens IP, Stockholm
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What was the result of Aspudden-Tellus vs Haninge?
Aspudden-Tellus and Haninge drew 1-1 on June 27, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Aspudden-Tellus have 8 wins, 3 draws and 4 defeats; Haninge have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 20, 2018 | Huddinge(away) | 0-1 | Division 2 - Södra Svealand |
| Jun 16, 2018 | Newroz(home) | 2-1 | Division 2 - Södra Svealand |
| Jun 9, 2018 | Södertälje(away) | 2-0 | Division 2 - Södra Svealand |
| Jun 2, 2018 | Sylvia(home) | 1-3 | Division 2 - Södra Svealand |
| May 26, 2018 | Värmdö(away) | 2-1 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 21, 2018 | Nora(home) | 3-2 | Division 2 - Södra Svealand |
| Jun 16, 2018 | Värmbols(away) | 1-0 | Division 2 - Södra Svealand |
| Jun 9, 2018 | Enskede(home) | 1-1 | Division 2 - Södra Svealand |
| Jun 3, 2018 | Eskilstuna City(away) | 4-0 | Division 2 - Södra Svealand |
| May 26, 2018 | Sleipner(home) | 3-1 | Division 2 - Södra Svealand |
How many goals should we expect?
Aspudden-Tellus score 1.7 and concede 1.3 goals per match over their last 15; Haninge score 2.4 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Aspudden-Tellus | 1.7 | 1.3 | 2 | 12/15 | 10/15 |
| Haninge | 2.4 | 1.1 | 7 | 8/15 | 11/15 |
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 | Haninge | 25 | 13 | 4 | 8 | 62 | 50 | 43 |
A question about Aspudden-Tellus vs Haninge?
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