Gute vs Täby: result 4-1 and analysis
Division 2 - Norra SvealandRegular Season - 6Kick-off on May 11, 2018 at 03:30 PM (UTC)Gutavallen, Gotland
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What was the result of Gute vs Täby?
Gute won 4-1 on May 11, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gute have 6 wins, 1 draws and 8 defeats; Täby have 1, 3 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Karlberg(away) | 0-1 | Division 2 - Norra Svealand |
| Apr 29, 2018 | Sundbyberg(home) | 2-3 | Division 2 - Norra Svealand |
| Apr 21, 2018 | Mora(away) | 3-2 | Division 2 - Norra Svealand |
| Apr 14, 2018 | Skiljebo(away) | 0-2 | Division 2 - Norra Svealand |
| Apr 8, 2018 | Vasalund(home) | 0-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 5, 2018 | Vasalund(home) | 1-3 | Division 2 - Norra Svealand |
| Apr 28, 2018 | Valbo(away) | 1-1 | Division 2 - Norra Svealand |
| Apr 21, 2018 | Stocksund(home) | 1-1 | Division 2 - Norra Svealand |
| Apr 15, 2018 | Gamla Upsala(away) | 5-0 | Division 2 - Norra Svealand |
| Apr 7, 2018 | Bollnäs(home) | 1-1 | Division 2 - Norra Svealand |
How many goals should we expect?
Gute score 1.4 and concede 1.5 goals per match over their last 15; Täby score 1.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gute | 1.4 | 1.5 | 5 | 6/15 | 9/15 |
| Täby | 1.8 | 1.2 | 1 | 4/5 | 2/5 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Gute sit 8th in Division 2 - Norra Svealand (17 points from 13 matches) and Täby sit 6th (21 points from 12 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Täby | 12 | 6 | 3 | 3 | 20 | 12 | 21 |
| 6 | Täby | 18 | 9 | 3 | 6 | 32 | 19 | 30 |
| 8 | Gute | 13 | 4 | 5 | 4 | 16 | 20 | 17 |
| 8 | Gute | 18 | 6 | 5 | 7 | 27 | 28 | 23 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy