Kjelsås vs Alta: result 2-3 and analysis
2. Division - Group 1Group 1 - 2Kick-off on July 18, 2020 at 02:00 PM (UTC)Grefsen Stadion, Oslo
Full time
What was the result of Kjelsås vs Alta?
Alta won 2-3 on July 18, 2020.
Goalscorers
- 36′C. ReginiussenAlta
- 52′M. PedersenAlta (pen.)
- 54′C. ReginiussenAlta
- 76′J. SolliKjelsås
- 81′Y. PaintsilKjelsås
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjelsås have 7 wins, 3 draws and 5 defeats; Alta have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 12, 2020 | Senja(away) | 2-1 | 2. Division - Group 1 |
| Mar 10, 2020 | KFUM Oslo(away) | 0-0 | Friendlies Clubs |
| Feb 20, 2020 | Strommen(away) | 2-3 | Friendlies Clubs |
| Oct 26, 2019 | Sotra(home) | 2-1 | 2. Division - Group 2 |
| Oct 19, 2019 | Fram(away) | 1-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 10, 2020 | Tromsdalen Uil(home) | 1-0 | 2. Division - Group 1 |
| Oct 26, 2019 | Senja(away) | 2-1 | 2. Division - Group 2 |
| Oct 19, 2019 | Grorud(home) | 2-3 | 2. Division - Group 2 |
| Oct 13, 2019 | Elverum(away) | 2-2 | 2. Division - Group 2 |
| Oct 6, 2019 | Odd II(home) | 4-1 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 1 Kjelsås win(s), 0 draw(s), 1 Alta win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 22, 2019 | Alta 2-1 Kjelsås | 2. Division - Group 2 |
| May 5, 2019 | Kjelsås 2-0 Alta | 2. Division - Group 2 |
How many goals should we expect?
Kjelsås score 1.9 and concede 1.3 goals per match over their last 15; Alta score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås | 1.9 | 1.3 | 4 | 10/15 | 12/15 |
| Alta | 1.7 | 1.5 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
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