Kjelsås II vs Sandviken: result 1-2 and analysis
3. Division - Girone 1Girone 1 - 20Kick-off on September 10, 2022 at 12:00 PM (UTC)Grefsen Stadion, Oslo
Full time
What was the result of Kjelsås II vs Sandviken?
Sandviken won 1-2 on September 10, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjelsås II have 3 wins, 5 draws and 7 defeats; Sandviken have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 6, 2022 | Grorud II(away) | 2-1 | 3. Division - Girone 1 |
| Aug 28, 2022 | Nordstrand(home) | 0-2 | 3. Division - Girone 1 |
| Aug 22, 2022 | Stabæk II(away) | 1-2 | 3. Division - Girone 1 |
| Aug 15, 2022 | Lyn(home) | 2-2 | 3. Division - Girone 1 |
| Jul 19, 2022 | Skeid II(away) | 1-1 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 3, 2022 | Os(home) | 2-1 | 3. Division - Girone 1 |
| Aug 27, 2022 | Oppsal(home) | 2-1 | 3. Division - Girone 1 |
| Aug 20, 2022 | Nordstrand(away) | 0-2 | 3. Division - Girone 1 |
| Aug 14, 2022 | IF Ready(home) | 3-2 | 3. Division - Girone 1 |
| Jul 16, 2022 | Grorud II(away) | 2-2 | 3. Division - Girone 1 |
What does the head-to-head say?
In the last meeting: 0 Kjelsås II wins, 1 draw, 0 Sandviken wins.
| Date | Score | Competition |
|---|---|---|
| May 22, 2022 | Sandviken 1-1 Kjelsås II | 3. Division - Girone 1 |
Last archived meeting: Sandviken vs Kjelsås II on May 22, 2022
How many goals should we expect?
Kjelsås II score 0.9 and concede 1.3 goals per match over their last 15; Sandviken score 1.7 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås II | 0.9 | 1.3 | 1 | 9/15 | 5/15 |
| Sandviken | 1.7 | 2.1 | 2 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Kjelsås II vs Sandviken?
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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