Floro vs Oppsal: result 4-3 and analysis
2. Division - Group 2Regular Season - 26Kick-off on October 26, 2019 at 11:00 AM (UTC)Florø stadion, Florø
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What was the result of Floro vs Oppsal?
Floro won 4-3 on October 26, 2019.
Goalscorers
- 19′M. DyerFloro
- 26′W. AdraOppsal
- 43′L. CallakuFloro
- 50′W. AdraOppsal
- 57′O. RotihaugFloro
- 84′L. CallakuFloro
- 89′K. HagenOppsal
What is the recent form of both teams?
Over their last 15 matches in all competitions, Floro have 4 wins, 4 draws and 7 defeats; Oppsal have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Asker(away) | 0-2 | 2. Division - Group 2 |
| Oct 12, 2019 | Asane(home) | 1-0 | 2. Division - Group 2 |
| Oct 5, 2019 | Fram(away) | 1-1 | 2. Division - Group 2 |
| Sep 28, 2019 | Alta(home) | 1-0 | 2. Division - Group 2 |
| Sep 23, 2019 | Odd II(away) | 2-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 19, 2019 | Elverum(home) | 4-1 | 2. Division - Group 2 |
| Oct 12, 2019 | Kjelsås(away) | 0-3 | 2. Division - Group 2 |
| Oct 6, 2019 | Mjølner(home) | 2-0 | 2. Division - Group 2 |
| Sep 28, 2019 | Sotra(away) | 1-0 | 2. Division - Group 2 |
| Sep 21, 2019 | Fram(away) | 0-4 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 1 Floro win, 0 draws, 0 Oppsal wins.
| Date | Score | Competition |
|---|---|---|
| Apr 13, 2019 | Oppsal 1-2 Floro | 2. Division - Group 2 |
How many goals should we expect?
Floro score 1.3 and concede 1.9 goals per match over their last 15; Oppsal score 1.4 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Floro | 1.3 | 1.9 | 3 | 9/15 | 9/15 |
| Oppsal | 1.4 | 2.1 | 4 | 7/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Floro vs Oppsal?
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