SF Grei vs Kjelsås II: result 0-1 and analysis
3. Division - Girone 1Girone 1 - 13Kick-off on July 2, 2022 at 02:00 PM (UTC)Greibanen, Oslo
Full time
What was the result of SF Grei vs Kjelsås II?
Kjelsås II won 0-1 on July 2, 2022.
Goalscorers
- 59′?Kjelsås II
What is the recent form of both teams?
Over their last 13 matches in all competitions, SF Grei have 2 wins, 3 draws and 8 defeats; Kjelsås II have 1, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2022 | Frøya(away) | 0-5 | 3. Division - Girone 1 |
| Jun 20, 2022 | Stabæk II(home) | 2-1 | 3. Division - Girone 1 |
| Jun 12, 2022 | Fyllingsdalen(home) | 0-3 | 3. Division - Girone 1 |
| Jun 4, 2022 | Skeid II(away) | 1-1 | 3. Division - Girone 1 |
| May 28, 2022 | Nordstrand(home) | 0-3 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2022 | Fyllingsdalen(home) | 0-2 | 3. Division - Girone 1 |
| Jun 20, 2022 | Nordstrand(away) | 0-1 | 3. Division - Girone 1 |
| Jun 13, 2022 | Lokomotiv Oslo(home) | 1-2 | 3. Division - Girone 1 |
| Jun 7, 2022 | Lyn(away) | 0-2 | 3. Division - Girone 1 |
| May 31, 2022 | Skeid II(home) | 0-1 | 3. Division - Girone 1 |
How many goals should we expect?
SF Grei score 0.8 and concede 2.5 goals per match over their last 13; Kjelsås II score 0.7 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SF Grei | 0.8 | 2.5 | 1 | 6/13 | 9/13 |
| Kjelsås II | 0.7 | 1.6 | 0 | 6/12 | 4/12 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | SF Grei | 26 | 10 | 1 | 15 | 50 | 73 | 31 |
A question about SF Grei vs Kjelsås II?
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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