Kungsängen vs Sundbyberg: result 2-2 and analysis
Division 2 - Norra SvealandRegular Season - 12Kick-off on June 15, 2019 at 02:00 PM (UTC)Kungsängens IP 1, Kungsängen
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What was the result of Kungsängen vs Sundbyberg?
Kungsängen and Sundbyberg drew 2-2 on June 15, 2019.
What is the recent form of both teams?
Over their last 11 matches in all competitions, Kungsängen have 4 wins, 2 draws and 5 defeats; Sundbyberg have 2, 6 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 6, 2019 | Kvarnsveden(away) | 0-2 | Division 2 - Norra Svealand |
| Jun 2, 2019 | Valbo(away) | 0-0 | Division 2 - Norra Svealand |
| May 29, 2019 | Gamla Upsala(home) | 2-5 | Division 2 - Norra Svealand |
| May 25, 2019 | Karlberg(away) | 1-2 | Division 2 - Norra Svealand |
| May 18, 2019 | Täby(home) | 1-2 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2019 | Gamla Upsala(home) | 0-3 | Division 2 - Norra Svealand |
| Jun 2, 2019 | Karlberg(away) | 1-2 | Division 2 - Norra Svealand |
| May 30, 2019 | Täby(home) | 2-7 | Division 2 - Norra Svealand |
| May 26, 2019 | Enköping(away) | 1-5 | Division 2 - Norra Svealand |
| May 18, 2019 | Skiljebo(home) | 0-0 | Division 2 - Norra Svealand |
How many goals should we expect?
Kungsängen score 1.5 and concede 1.5 goals per match over their last 11; Sundbyberg score 1.4 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kungsängen | 1.5 | 1.5 | 3 | 7/11 | 8/11 |
| Sundbyberg | 1.4 | 2.5 | 1 | 13/15 | 12/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Kungsängen | 26 | 5 | 11 | 10 | 32 | 41 | 26 |
A question about Kungsängen vs Sundbyberg?
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