KFUM II vs Skeid II: result 3-0 and analysis
3. Division - Girone 3Group 3 - 4Kick-off on April 29, 2024 at 05:15 PM (UTC)KFUM Arena, Oslo
Full time
What was the result of KFUM II vs Skeid II?
KFUM II won 3-0 on April 29, 2024.
Goalscorers
- 2′?KFUM II
- 20′?KFUM II
- 88′?KFUM II
What is the recent form of both teams?
Over their last 15 matches in all competitions, KFUM II have 9 wins, 1 draws and 5 defeats; Skeid II have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2024 | Ullern(away) | 2-2 | 3. Division - Girone 3 |
| Apr 13, 2024 | Oppsal(home) | 5-1 | 3. Division - Girone 3 |
| Apr 8, 2024 | Bærum(away) | 1-4 | 3. Division - Girone 3 |
| Oct 29, 2023 | Sarpsborg 08 II(home) | 5-0 | 3. Division - Girone 6 |
| Oct 22, 2023 | Hammerfest IF Stein(away) | 4-0 | 3. Division - Girone 6 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 20, 2024 | Flint(home) | 1-4 | 3. Division - Girone 3 |
| Apr 15, 2024 | Åssiden IF(away) | 2-2 | 3. Division - Girone 3 |
| Apr 7, 2024 | Mjøndalen II(home) | 3-0 | 3. Division - Girone 3 |
| Oct 29, 2023 | Tromsø II(away) | 2-2 | 3. Division - Girone 6 |
| Oct 22, 2023 | Fløya(home) | 4-0 | 3. Division - Girone 6 |
What does the head-to-head say?
Across the last 2 meetings: 1 KFUM II win(s), 0 draw(s), 1 Skeid II win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 14, 2023 | KFUM II 3-2 Skeid II | 3. Division - Girone 6 |
| Jun 17, 2023 | Skeid II 1-0 KFUM II | 3. Division - Girone 6 |
How many goals should we expect?
KFUM II score 2.7 and concede 1.9 goals per match over their last 15; Skeid II score 2.3 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| KFUM II | 2.7 | 1.9 | 4 | 9/15 | 14/15 |
| Skeid II | 2.3 | 2.1 | 3 | 10/15 | 13/15 |
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