Mjølner vs Kjelsås: result 1-3 and analysis
2. Division - Group 2Regular Season - 6Kick-off on May 19, 2019 at 02:00 PM (UTC)Narvik Stadion, Narvik
Full time
What was the result of Mjølner vs Kjelsås?
Kjelsås won 1-3 on May 19, 2019.
Goalscorers
- 7′Akinbola Olajide AkinyemiKjelsås
- 66′M. JohnsenMjølner
- 84′J. TaajeKjelsås
- 88′151246Kjelsås
What is the recent form of both teams?
Over their last 5 matches in all competitions, Mjølner have 1 win, 0 draws and 4 defeats; Kjelsås have 4, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 12, 2019 | Elverum(away) | 1-2 | 2. Division - Group 2 |
| May 5, 2019 | Asane(home) | 1-5 | 2. Division - Group 2 |
| May 1, 2019 | Melbo IL(away) | 0-1 | NM Cupen |
| Apr 22, 2019 | Oppsal(home) | 1-0 | 2. Division - Group 2 |
| Apr 13, 2019 | Alta(away) | 0-3 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2019 | Bærum(home) | 1-1 | 2. Division - Group 2 |
| May 5, 2019 | Alta(home) | 2-0 | 2. Division - Group 2 |
| May 1, 2019 | Åssiden IF(away) | 2-1 | NM Cupen |
| Apr 27, 2019 | Oppsal(away) | 1-1 | 2. Division - Group 2 |
| Apr 22, 2019 | Asane(home) | 2-1 | 2. Division - Group 2 |
How many goals should we expect?
Mjølner score 0.6 and concede 2.2 goals per match over their last 5; Kjelsås score 1.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Mjølner | 0.6 | 2.2 | 1 | 2/5 | 3/5 |
| Kjelsås | 1.8 | 0.8 | 1 | 5/6 | 3/6 |
Over the last 5 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 Mjølner 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