Alta vs Odd II: result 4-1 and analysis
2. Division - Group 2Regular Season - 23Kick-off on October 6, 2019 at 01:00 PM (UTC)SmartDok Arena, Alta
Full time
What was the result of Alta vs Odd II?
Alta won 4-1 on October 6, 2019.
Goalscorers
- 15′H. NomeAlta
- 45′C. ReginiussenAlta
- 55′191807Odd II
- 71′G. PhilipsAlta
- 85′G. PhilipsAlta
What is the recent form of both teams?
Over their last 15 matches in all competitions, Alta have 6 wins, 3 draws and 6 defeats; Odd II have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 28, 2019 | Floro(away) | 0-1 | 2. Division - Group 2 |
| Sep 22, 2019 | Kjelsås(home) | 2-1 | 2. Division - Group 2 |
| Sep 15, 2019 | Mjølner(away) | 0-0 | 2. Division - Group 2 |
| Sep 8, 2019 | Asane(home) | 2-2 | 2. Division - Group 2 |
| Sep 1, 2019 | Sotra(away) | 3-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2019 | Senja(home) | 6-1 | 2. Division - Group 2 |
| Sep 23, 2019 | Floro(home) | 2-2 | 2. Division - Group 2 |
| Sep 16, 2019 | Asane(away) | 0-2 | 2. Division - Group 2 |
| Sep 7, 2019 | Elverum(home) | 2-1 | 2. Division - Group 2 |
| Sep 2, 2019 | Kjelsås(away) | 1-1 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 1 meetings: 0 Alta win(s), 0 draw(s), 1 Odd II win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 24, 2019 | Odd II 5-0 Alta | 2. Division - Group 2 |
How many goals should we expect?
Alta score 1.5 and concede 1.8 goals per match over their last 15; Odd II score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Alta | 1.5 | 1.8 | 3 | 9/15 | 11/15 |
| Odd II | 1.9 | 1.5 | 1 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Alta | 26 | 5 | 4 | 17 | 49 | 68 | 19 |
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