Floro vs Kjelsås: result 1-2 and analysis
2. Division - Group 2Regular Season - 15Kick-off on August 10, 2019 at 02:00 PM (UTC)Florø stadion, Florø
Full time
What was the result of Floro vs Kjelsås?
Kjelsås won 1-2 on August 10, 2019.
Goalscorers
- 52′Y. PaintsilKjelsås
- 65′S. OttesenKjelsås
- 71′M. DyerFloro
What is the recent form of both teams?
Over their last 15 matches in all competitions, Floro have 5 wins, 4 draws and 6 defeats; Kjelsås have 7, 7 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 3, 2019 | Sotra(away) | 0-1 | 2. Division - Group 2 |
| Jul 27, 2019 | Fram(home) | 2-0 | 2. Division - Group 2 |
| Jul 20, 2019 | Alta(away) | 0-3 | 2. Division - Group 2 |
| Jun 22, 2019 | Grorud(home) | 1-2 | 2. Division - Group 2 |
| Jun 17, 2019 | Odd II(home) | 3-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 4, 2019 | Mjølner(home) | 3-1 | 2. Division - Group 2 |
| Jul 27, 2019 | Odd II(away) | 2-1 | 2. Division - Group 2 |
| Jul 20, 2019 | Elverum(home) | 1-1 | 2. Division - Group 2 |
| Jun 22, 2019 | Senja(away) | 2-2 | 2. Division - Group 2 |
| Jun 15, 2019 | Sotra(away) | 0-2 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Floro win(s), 0 draw(s), 1 Kjelsås win(s).
| Date | Score | Competition |
|---|---|---|
| May 26, 2019 | Kjelsås 3-1 Floro | 2. Division - Group 2 |
How many goals should we expect?
Floro score 0.9 and concede 1.0 goals per match over their last 15; Kjelsås score 1.6 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Floro | 0.9 | 1.0 | 7 | 5/15 | 5/15 |
| Kjelsås | 1.6 | 1.0 | 2 | 12/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kjelsås | 16 | 12 | 1 | 3 | 36 | 21 | 37 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy