Gjelleråsen vs Senja: result 3-1 and analysis
3. Division - Girone 6Girone 6 - 20Kick-off on September 11, 2022 at 03:30 PM (UTC)Li kunstgress, Hagan
Full time
What was the result of Gjelleråsen vs Senja?
Gjelleråsen won 3-1 on September 11, 2022.
Goalscorers
- 39′?Gjelleråsen
- 60′?Gjelleråsen
- 79′Mustafa Ahmed HassanGjelleråsen
- 90′?Senja
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gjelleråsen have 10 wins, 0 draws and 5 defeats; Senja have 3, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2022 | Fløya(away) | 0-2 | 3. Division - Girone 6 |
| Aug 30, 2022 | Mjøndalen II(home) | 3-1 | 3. Division - Girone 6 |
| Aug 21, 2022 | Skjervøy(away) | 2-1 | 3. Division - Girone 6 |
| Aug 13, 2022 | Bossekop(home) | 5-1 | 3. Division - Girone 6 |
| Aug 6, 2022 | Skjetten(away) | 4-1 | 3. Division - Girone 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2022 | Harstad(home) | 1-4 | 3. Division - Girone 6 |
| Aug 28, 2022 | Strømsgodset II(away) | 1-7 | 3. Division - Girone 6 |
| Aug 18, 2022 | Mjølner(home) | 1-4 | 3. Division - Girone 6 |
| Aug 14, 2022 | Lørenskog(away) | 1-6 | 3. Division - Girone 6 |
| Aug 10, 2022 | Skjetten(home) | 3-1 | 3. Division - Girone 6 |
What does the head-to-head say?
Across the last 1 meetings: 1 Gjelleråsen win(s), 0 draw(s), 0 Senja win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 9, 2022 | Senja 1-5 Gjelleråsen | 3. Division - Girone 6 |
How many goals should we expect?
Gjelleråsen score 3.1 and concede 1.4 goals per match over their last 15; Senja score 1.1 and concede 3.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gjelleråsen | 3.1 | 1.4 | 3 | 11/15 | 13/15 |
| Senja | 1.1 | 3.7 | 1 | 11/15 | 15/15 |
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