Arendal vs Kjelsås: prediction and stats
2. Division - Group 2Group 2 - 25Kick-off on October 23, 2021 at 11:00 AM (UTC)Norac Stadion, Arendal
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Arendal have 5 wins, 8 draws and 2 defeats; Kjelsås have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2021 | Rosenborg II(home) | 9-2 | 2. Division - Group 2 |
| Oct 9, 2021 | Notodden(home) | 2-1 | 2. Division - Group 2 |
| Oct 2, 2021 | Fram(away) | 1-1 | 2. Division - Group 2 |
| Sep 25, 2021 | Skeid(home) | 2-2 | 2. Division - Group 2 |
| Sep 22, 2021 | Nardo(away) | 2-2 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2021 | Flekkerøy(away) | 2-2 | 2. Division - Group 2 |
| Oct 16, 2021 | Vard(home) | 3-1 | 2. Division - Group 2 |
| Oct 9, 2021 | Øygarden(away) | 2-3 | 2. Division - Group 2 |
| Oct 3, 2021 | Sotra(home) | 3-1 | 2. Division - Group 2 |
| Sep 30, 2021 | Nardo(home) | 0-1 | 2. Division - Group 2 |
What does the head-to-head say?
Across the last 2 meetings: 0 Arendal wins, 2 draws, 0 Kjelsås wins.
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2021 | Arendal 0-0 Kjelsås | 2. Division - Group 2 |
| Aug 18, 2021 | Kjelsås 2-2 Arendal | 2. Division - Group 2 |
How many goals should we expect?
Arendal score 2.5 and concede 1.8 goals per match over their last 15; Kjelsås score 1.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arendal | 2.5 | 1.8 | 2 | 13/15 | 12/15 |
| Kjelsås | 1.9 | 1.5 | 1 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Kjelsås | 23 | 16 | 2 | 5 | 53 | 32 | 50 |
A question about Arendal vs Kjelsås?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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