Bærum vs Floro: prediction and stats
2. Division - Group 1Group 1 - 6Kick-off on May 24, 2021 at 11:00 AM (UTC)AJ Arena, Sandvika
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bærum have 2 wins, 8 draws and 5 defeats; Floro 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 |
|---|---|---|---|
| Oct 3, 2020 | Arendal(away) | 0-3 | 2. Division - Group 2 |
| Sep 26, 2020 | Bryne(home) | 1-1 | 2. Division - Group 2 |
| Sep 19, 2020 | Sotra(away) | 1-1 | 2. Division - Group 2 |
| Sep 12, 2020 | Egersund(home) | 1-1 | 2. Division - Group 2 |
| Sep 5, 2020 | Fram(home) | 1-1 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 3, 2020 | hodd(away) | 1-3 | 2. Division - Group 1 |
| Sep 26, 2020 | Kjelsås(home) | 2-2 | 2. Division - Group 1 |
| Sep 19, 2020 | Brattvåg(away) | 0-0 | 2. Division - Group 1 |
| Sep 13, 2020 | Senja(home) | 3-0 | 2. Division - Group 1 |
| Sep 6, 2020 | Vålerenga II(away) | 1-3 | 2. Division - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 0 Bærum wins, 2 draws, 0 Floro wins.
| Date | Score | Competition |
|---|---|---|
| Sep 14, 2019 | Floro 3-3 Bærum | 2. Division - Group 2 |
| Apr 27, 2019 | Bærum 0-0 Floro | 2. Division - Group 2 |
How many goals should we expect?
Bærum score 1.1 and concede 1.3 goals per match over their last 15; Floro score 2.2 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bærum | 1.1 | 1.3 | 3 | 11/15 | 6/15 |
| Floro | 2.2 | 2.0 | 3 | 12/15 | 13/15 |
Over the last 15 matches in all competitions.
A question about Bærum vs Floro?
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