SF Grei vs Lyn: result 2-2 and analysis
3. Division - Girone 1Girone 1 - 6Kick-off on May 14, 2022 at 02:00 PM (UTC)Greibanen, Oslo
Full time
What was the result of SF Grei vs Lyn?
SF Grei and Lyn drew 2-2 on May 14, 2022.
Goalscorers
- 21′D. TavakoliLyn
- 41′?SF Grei
- 56′I. LövlundSF Grei
- 85′D. TavakoliLyn
What is the recent form of both teams?
Over their last 6 matches in all competitions, SF Grei have 1 win, 0 draws and 5 defeats; Lyn have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 9, 2022 | Grorud II(away) | 0-3 | 3. Division - Girone 1 |
| Apr 30, 2022 | Os(home) | 2-4 | 3. Division - Girone 1 |
| Apr 23, 2022 | Oppsal(away) | 2-4 | 3. Division - Girone 1 |
| Apr 18, 2022 | IF Ready(home) | 1-0 | 3. Division - Girone 1 |
| Apr 9, 2022 | Sandviken(away) | 0-2 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2022 | IF Ready(away) | 2-1 | 3. Division - Girone 1 |
| May 1, 2022 | Sandviken(home) | 4-1 | 3. Division - Girone 1 |
| Apr 26, 2022 | Skeid II(away) | 0-0 | 3. Division - Girone 1 |
| Apr 18, 2022 | Nordstrand(home) | 3-1 | 3. Division - Girone 1 |
| Apr 9, 2022 | Oppsal(away) | 3-1 | 3. Division - Girone 1 |
How many goals should we expect?
SF Grei score 0.8 and concede 2.8 goals per match over their last 6; Lyn score 2.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SF Grei | 0.8 | 2.8 | 1 | 2/6 | 4/6 |
| Lyn | 2.6 | 1.4 | 5 | 9/15 | 12/15 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | SF Grei | 23 | 7 | 1 | 15 | 42 | 72 | 22 |
A question about SF Grei vs Lyn?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy