Floro vs Bærum: result 3-3 and analysis
2. Division - Group 2Regular Season - 20Kick-off on September 14, 2019 at 02:00 PM (UTC)Florø stadion, Florø
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What was the result of Floro vs Bærum?
Floro and Bærum drew 3-3 on September 14, 2019.
Goalscorers
- 14′Jon Tveit RønningBærum
- 32′L. CallakuFloro
- 57′Jon Tveit RønningBærum
- 76′B. BreivikBærum
- 79′S. PedersenFloro
- 89′C. HusaFloro
What is the recent form of both teams?
Over their last 15 matches in all competitions, Floro have 5 wins, 2 draws and 8 defeats; Bærum 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 8, 2019 | Senja(away) | 3-2 | 2. Division - Group 2 |
| Aug 31, 2019 | Elverum(away) | 2-3 | 2. Division - Group 2 |
| Aug 24, 2019 | Mjølner(home) | 2-2 | 2. Division - Group 2 |
| Aug 17, 2019 | Grorud(away) | 1-5 | 2. Division - Group 2 |
| Aug 10, 2019 | Kjelsås(home) | 1-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Kjelsås(home) | 1-4 | 2. Division - Group 2 |
| Aug 31, 2019 | Oppsal(away) | 2-2 | 2. Division - Group 2 |
| Aug 24, 2019 | Fram(home) | 2-1 | 2. Division - Group 2 |
| Aug 17, 2019 | Sotra(away) | 2-3 | 2. Division - Group 2 |
| Aug 11, 2019 | Asker(home) | 0-1 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Floro wins, 1 draw, 0 Bærum wins.
| Date | Score | Competition |
|---|---|---|
| Apr 27, 2019 | Bærum 0-0 Floro | 2. Division - Group 2 |
How many goals should we expect?
Floro score 1.3 and concede 1.7 goals per match over their last 15; Bærum score 2.0 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Floro | 1.3 | 1.7 | 3 | 9/15 | 9/15 |
| Bærum | 2.0 | 2.2 | 1 | 11/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Floro vs Bærum?
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