Karlberg vs Gute: result 4-0 and analysis
Division 2 - Norra SvealandRegular Season - 9Kick-off on May 29, 2016 at 01:00 PM (UTC)Kristinebergs IP, Stockholm
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What was the result of Karlberg vs Gute?
Karlberg won 4-0 on May 29, 2016.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Karlberg have 3 wins, 2 draws and 3 defeats; Gute have 7, 1 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 21, 2016 | Sollentuna(away) | 2-3 | Division 2 - Norra Svealand |
| May 14, 2016 | Syrianska IF(home) | 1-3 | Division 2 - Norra Svealand |
| May 8, 2016 | Franke(home) | 4-0 | Division 2 - Norra Svealand |
| May 4, 2016 | Norrtälje(away) | 1-1 | Division 2 - Norra Svealand |
| Apr 30, 2016 | Gamla Upsala(home) | 2-4 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 22, 2016 | Franke(home) | 3-1 | Division 2 - Norra Svealand |
| May 14, 2016 | Norrtälje(away) | 4-0 | Division 2 - Norra Svealand |
| May 8, 2016 | Gamla Upsala(home) | 5-0 | Division 2 - Norra Svealand |
| May 5, 2016 | Västerås IK(away) | 3-0 | Division 2 - Norra Svealand |
| May 1, 2016 | Boo(home) | 2-0 | Division 2 - Norra Svealand |
How many goals should we expect?
Karlberg score 2.0 and concede 1.5 goals per match over their last 8; Gute score 3.0 and concede 0.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Karlberg | 2.0 | 1.5 | 3 | 5/8 | 5/8 |
| Gute | 3.0 | 0.4 | 6 | 2/8 | 6/8 |
Over the last 8 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 Karlberg vs Gute?
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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