Sundbyberg vs Boo: result 1-3 and analysis
Division 2 - Norra SvealandRegular Season - 23Kick-off on September 24, 2016 at 12:00 PM (UTC)
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What was the result of Sundbyberg vs Boo?
Boo won 1-3 on September 24, 2016.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sundbyberg have 6 wins, 2 draws and 7 defeats; Boo have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Västerås IK(away) | 4-3 | Division 2 - Norra Svealand |
| Sep 10, 2016 | Syrianska IF(home) | 2-0 | Division 2 - Norra Svealand |
| Sep 3, 2016 | Skiljebo(away) | 1-2 | Division 2 - Norra Svealand |
| Aug 27, 2016 | Värmdö(home) | 1-0 | Division 2 - Norra Svealand |
| Aug 20, 2016 | Håbo(away) | 1-0 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 17, 2016 | Syrianska IF(home) | 4-1 | Division 2 - Norra Svealand |
| Sep 10, 2016 | Skiljebo(home) | 2-1 | Division 2 - Norra Svealand |
| Sep 3, 2016 | Värmdö(away) | 0-1 | Division 2 - Norra Svealand |
| Aug 27, 2016 | Håbo(home) | 4-1 | Division 2 - Norra Svealand |
| Aug 20, 2016 | Kvarnsveden(away) | 3-1 | Division 2 - Norra Svealand |
What does the head-to-head say?
In the last meeting: 1 Sundbyberg win, 0 draws, 0 Boo wins.
| Date | Score | Competition |
|---|---|---|
| May 28, 2016 | Boo 2-3 Sundbyberg | Division 2 - Norra Svealand |
How many goals should we expect?
Sundbyberg score 1.6 and concede 1.9 goals per match over their last 15; Boo score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sundbyberg | 1.6 | 1.9 | 4 | 9/15 | 9/15 |
| Boo | 1.7 | 1.5 | 3 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Sundbyberg vs Boo?
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