Arendal vs Floro: result 2-0 and analysis
1. DivisionRegular Season - 4Kick-off on April 23, 2017 at 01:00 PM (UTC)Norac Stadion, Arendal
Full time
What was the result of Arendal vs Floro?
Arendal won 2-0 on April 23, 2017.
Goalscorers
- 7′Petar RnkovicArendal
- 35′Petar RnkovicArendal
Official lineup for Arendal vs Floro
The starting elevens fielded at kick-off.
Arendal
- 7Petar Rnkovic
- 11Y. Ibrahimaj
- 17Adnan Mohammad
- 10Jakob Rasmussen
- 14T. Olsvik
- 2M. Olsen
- 3Dejan Corovic
- 4M. Andersen
- 13S. Kiilerich
- 21Viktor Lövgren
- 12Anders Gundersen
Floro
- 7R. Muhammed
- 12Kristoffer Ryland
- 17M. Benmoussa
- 14S. Aase
- 23H. Solheim-Olsen
- 25P. Aase
- 6Runar Ullaland Hove
- 15Andre Frøyen Reksten
- 37Vegar Heggenes Gjermundstad
- 77C. Lindquist
- 92N. Frenderup
What is the recent form of both teams?
Over their last 3 matches in all competitions, Arendal have 0 wins, 0 draws and 3 defeats; Floro have 0, 3 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2017 | Ranheim(away) | 1-2 | 1. Division |
| Apr 9, 2017 | Ull/Kisa(home) | 1-2 | 1. Division |
| Apr 2, 2017 | Mjondalen(away) | 1-2 | 1. Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 17, 2017 | Levanger(home) | 0-0 | 1. Division |
| Apr 9, 2017 | Strommen(away) | 1-1 | 1. Division |
| Apr 2, 2017 | jerv(home) | 1-1 | 1. Division |
How many goals should we expect?
Arendal score 1.0 and concede 2.0 goals per match over their last 3; Floro score 0.7 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Arendal | 1.0 | 2.0 | 0 | 3/3 | 3/3 |
| Floro | 0.7 | 0.7 | 1 | 2/3 | 0/3 |
Over the last 3 matches in all competitions.
A question about Arendal vs Floro?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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