Gute vs Syrianska IF: result 2-3 and analysis
Division 2 - Norra SvealandRegular Season - 11Kick-off on August 15, 2016 at 05:45 PM (UTC)Gutavallen, Gotland
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What was the result of Gute vs Syrianska IF?
Syrianska IF won 2-3 on August 15, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gute have 8 wins, 3 draws and 4 defeats; Syrianska IF have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2016 | Boo(away) | 0-3 | Division 2 - Norra Svealand |
| Aug 7, 2016 | Sundbyberg(home) | 3-0 | Division 2 - Norra Svealand |
| Jul 31, 2016 | Värmdö(home) | 2-1 | Division 2 - Norra Svealand |
| Jul 23, 2016 | Skiljebo(away) | 3-3 | Division 2 - Norra Svealand |
| Jun 26, 2016 | Håbo(home) | 3-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 12, 2016 | Värmdö(away) | 0-0 | Division 2 - Norra Svealand |
| Aug 7, 2016 | Norrtälje(home) | 7-3 | Division 2 - Norra Svealand |
| Aug 1, 2016 | Gamla Upsala(home) | 3-0 | Division 2 - Norra Svealand |
| Jul 24, 2016 | Håbo(away) | 3-4 | Division 2 - Norra Svealand |
| Jul 20, 2016 | Kvarnsveden(away) | 0-8 | Division 2 - Norra Svealand |
How many goals should we expect?
Gute score 2.3 and concede 1.4 goals per match over their last 15; Syrianska IF score 2.2 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gute | 2.3 | 1.4 | 6 | 7/15 | 13/15 |
| Syrianska IF | 2.2 | 1.8 | 5 | 8/15 | 9/15 |
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 Syrianska IF?
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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