Gute vs Forward: result 2-0 and analysis
Division 2 - Norra SvealandRegular Season - 10Kick-off on June 3, 2017 at 03:00 PM (UTC)Gutavallen, Gotland
Full time
What was the result of Gute vs Forward?
Gute won 2-0 on June 3, 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; Forward have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 27, 2017 | Lidingö(away) | 2-0 | Division 2 - Norra Svealand |
| May 25, 2017 | Aspudden-Tellus(home) | 4-1 | Division 2 - Norra Svealand |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 28, 2017 | Aspudden-Tellus(home) | 7-0 | Division 2 - Norra Svealand |
| May 23, 2017 | Syrianska IF(away) | 3-0 | Division 2 - Norra Svealand |
| May 19, 2017 | Håbo(home) | 2-1 | Division 2 - Norra Svealand |
| May 13, 2017 | Gamla Upsala(away) | 4-2 | Division 2 - Norra Svealand |
| May 7, 2017 | Karlberg(home) | 3-0 | Division 2 - Norra Svealand |
How many goals should we expect?
Gute score 1.9 and concede 1.5 goals per match over their last 15; Forward score 2.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gute | 1.9 | 1.5 | 5 | 8/15 | 9/15 |
| Forward | 2.3 | 1.1 | 7 | 6/15 | 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 Forward?
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