Gute vs Aspudden-Tellus: result 4-1 and analysis
Division 2 - Norra SvealandRegular Season - 8Kick-off on May 25, 2017 at 11:00 AM (UTC)Gutavallen, Gotland
Full time
What was the result of Gute vs Aspudden-Tellus?
Gute won 4-1 on May 25, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gute have 7 wins, 5 draws and 3 defeats; Aspudden-Tellus have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2017 | Norrtälje(away) | 2-2 | Division 2 - Norra Svealand |
| May 14, 2017 | Syrianska IF(home) | 5-2 | Division 2 - Norra Svealand |
| May 6, 2017 | Karlslund(away) | 0-2 | Division 2 - Norra Svealand |
| Apr 30, 2017 | Håbo(home) | 4-2 | Division 2 - Norra Svealand |
| Apr 22, 2017 | Strömsberg(away) | 1-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2017 | Syrianska IF(home) | 3-2 | Division 2 - Norra Svealand |
| May 14, 2017 | Håbo(away) | 0-0 | Division 2 - Norra Svealand |
| May 6, 2017 | Gamla Upsala(home) | 3-1 | Division 2 - Norra Svealand |
| Apr 29, 2017 | Karlberg(away) | 1-1 | Division 2 - Norra Svealand |
| Apr 22, 2017 | Skiljebo(home) | 0-2 | Division 2 - Norra Svealand |
How many goals should we expect?
Gute score 1.7 and concede 1.6 goals per match over their last 15; Aspudden-Tellus score 1.8 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gute | 1.7 | 1.6 | 4 | 9/15 | 10/15 |
| Aspudden-Tellus | 1.8 | 2.5 | 3 | 10/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 8 | Gute | 25 | 9 | 5 | 11 | 38 | 38 | 32 |
A question about Gute vs Aspudden-Tellus?
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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