Täby vs Kvarnsveden: result 2-1 and analysis
Division 2 - Norra SvealandRegular Season - 8Kick-off on May 25, 2019 at 02:00 PM (UTC)Vikingavallen, Täby
Full time
What was the result of Täby vs Kvarnsveden?
Täby won 2-1 on May 25, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Täby have 7 wins, 4 draws and 4 defeats; Kvarnsveden have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Kungsängen(away) | 2-1 | Division 2 - Norra Svealand |
| May 11, 2019 | Gamla Upsala(home) | 2-1 | Division 2 - Norra Svealand |
| May 4, 2019 | Karlberg(away) | 1-2 | Division 2 - Norra Svealand |
| Apr 28, 2019 | Valbo(away) | 2-0 | Division 2 - Norra Svealand |
| Apr 19, 2019 | Enköping(home) | 5-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 18, 2019 | Enköping(home) | 2-2 | Division 2 - Norra Svealand |
| May 11, 2019 | Skiljebo(away) | 0-0 | Division 2 - Norra Svealand |
| May 4, 2019 | Gute(home) | 2-2 | Division 2 - Norra Svealand |
| Apr 27, 2019 | Hudiksvall(away) | 0-5 | Division 2 - Norra Svealand |
| Apr 19, 2019 | Stocksund(home) | 2-4 | Division 2 - Norra Svealand |
How many goals should we expect?
Täby score 2.1 and concede 1.7 goals per match over their last 15; Kvarnsveden score 1.7 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Täby | 2.1 | 1.7 | 3 | 11/15 | 11/15 |
| Kvarnsveden | 1.7 | 2.5 | 2 | 9/15 | 13/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Täby | 25 | 12 | 5 | 8 | 44 | 28 | 41 |
A question about Täby vs Kvarnsveden?
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