Kjelsås vs Egersund: prediction and stats
2. Division - Group 2Group 2 - 13Kick-off on July 31, 2021 at 12:00 PM (UTC)Grefsen Stadion, Oslo
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Kjelsås have 5 wins, 3 draws and 7 defeats; Egersund have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2021 | Levanger(home) | 0-1 | 2. Division - Group 2 |
| Jul 24, 2021 | Lokomotiv Oslo(away) | 1-0 | NM Cupen |
| Jul 21, 2021 | Sotra(away) | 1-3 | 2. Division - Group 2 |
| Jul 17, 2021 | Egersund(home) | 1-0 | 2. Division - Group 2 |
| Jul 11, 2021 | Nardo(away) | 0-0 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 28, 2021 | Fram(away) | 2-3 | 2. Division - Group 2 |
| Jul 24, 2021 | Vidar(away) | 1-2 | NM Cupen |
| Jul 21, 2021 | Arendal(home) | 3-0 | 2. Division - Group 2 |
| Jul 17, 2021 | Kjelsås(away) | 0-1 | 2. Division - Group 2 |
| Jul 12, 2021 | Odd II(home) | 1-2 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 1 Kjelsås win, 0 draws, 0 Egersund wins.
| Date | Score | Competition |
|---|---|---|
| Jul 17, 2021 | Kjelsås 1-0 Egersund | 2. Division - Group 2 |
How many goals should we expect?
Kjelsås score 1.3 and concede 1.8 goals per match over their last 15; Egersund score 2.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Kjelsås | 1.3 | 1.8 | 3 | 9/15 | 10/15 |
| Egersund | 2.3 | 1.7 | 4 | 9/15 | 12/15 |
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 | 24 | 17 | 2 | 5 | 56 | 34 | 53 |
A question about Kjelsås vs Egersund?
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