jerv vs Stjørdals-Blink: result 2-1 and analysis
1. DivisionRegular Season - 3Kick-off on May 25, 2021 at 04:00 PM (UTC)J.J. Ugland Stadion, Grimstad
Full time
What was the result of jerv vs Stjørdals-Blink?
jerv won 2-1 on May 25, 2021.
Goalscorers
- 6′J. Norheimjerv
- 12′M. AugdalStjørdals-Blink
- 41′P. Pereirajerv
What is the recent form of both teams?
Over their last 15 matches in all competitions, jerv have 4 wins, 3 draws and 8 defeats; Stjørdals-Blink have 3, 4 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2021 | Start(away) | 4-2 | 1. Division |
| May 15, 2021 | KFUM Oslo(home) | 1-1 | 1. Division |
| May 1, 2021 | Bryne(away) | 0-1 | Friendlies Clubs |
| Apr 21, 2021 | ODD Ballklubb(away) | 1-1 | Friendlies Clubs |
| Apr 17, 2021 | Sandnes ULF(home) | 3-2 | Friendlies Clubs |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2021 | Sogndal(home) | 2-1 | 1. Division |
| May 15, 2021 | Ham-Kam(away) | 0-3 | 1. Division |
| May 8, 2021 | Ranheim(away) | 2-1 | Friendlies Clubs |
| Apr 17, 2021 | Molde(away) | 1-2 | Friendlies Clubs |
| Dec 13, 2020 | jerv(away) | 1-1 | 1. Division |
What does the head-to-head say?
Across the last 2 meetings: 0 jerv win(s), 2 draw(s), 0 Stjørdals-Blink win(s).
| Date | Score | Competition |
|---|---|---|
| Dec 13, 2020 | jerv 1-1 Stjørdals-Blink | 1. Division |
| Aug 3, 2020 | Stjørdals-Blink 2-2 jerv | 1. Division |
Last archived meeting: jerv vs Stjørdals-Blink on Dec 13, 2020
How many goals should we expect?
jerv score 1.1 and concede 1.6 goals per match over their last 15; Stjørdals-Blink score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| jerv | 1.1 | 1.6 | 1 | 7/15 | 5/15 |
| Stjørdals-Blink | 1.3 | 1.9 | 1 | 12/15 | 11/15 |
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