Follo vs Eidsvold: result 0-2 and analysis
2. Division - Group 2Group 2 - 7Kick-off on May 20, 2024 at 01:00 PM (UTC)Ski stadion, Ski
Full time
What was the result of Follo vs Eidsvold?
Eidsvold won 0-2 on May 20, 2024.
Goalscorers
- 36′F. DelaverisEidsvold
- 85′F. DelaverisEidsvold
What is the recent form of both teams?
Over their last 15 matches in all competitions, Follo have 4 wins, 1 draws and 10 defeats; Eidsvold have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2024 | Ull/Kisa(away) | 2-1 | 2. Division - Group 2 |
| May 4, 2024 | Kjelsås(away) | 0-2 | 2. Division - Group 2 |
| Apr 27, 2024 | Skeid(home) | 0-1 | 2. Division - Group 2 |
| Apr 20, 2024 | Stjørdals-Blink(away) | 2-4 | 2. Division - Group 2 |
| Apr 14, 2024 | Alta(home) | 4-0 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2024 | Strindheim(home) | 3-1 | 2. Division - Group 2 |
| May 8, 2024 | Sandnes ULF(home) | 3-5 | NM Cupen |
| May 4, 2024 | Grorud(away) | 2-2 | 2. Division - Group 2 |
| May 1, 2024 | Asane(home) | 2-1 | NM Cupen |
| Apr 27, 2024 | Gjøvik-Lyn(home) | 2-0 | 2. Division - Group 2 |
How many goals should we expect?
Follo score 1.2 and concede 1.7 goals per match over their last 15; Eidsvold score 2.4 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Follo | 1.2 | 1.7 | 2 | 6/15 | 10/15 |
| Eidsvold | 2.4 | 1.5 | 5 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Follo sit 13th in 2. Division - Group 2 (9 points from 15 matches) and Eidsvold sit 1st (38 points from 16 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Eidsvold | 16 | 12 | 2 | 2 | 41 | 14 | 38 |
| 13 | Follo | 15 | 2 | 3 | 10 | 16 | 32 | 9 |
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