Floro vs Tromsdalen Uil: prediction and stats
2. Division - Group 1Group 1 - 9Kick-off on June 13, 2021 at 12:00 PM (UTC)Florø stadion, Florø
Match postponed — new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Floro have 4 wins, 3 draws and 8 defeats; Tromsdalen Uil have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2021 | Øygarden(away) | 0-5 | Friendlies Clubs |
| Jun 6, 2021 | Sotra(home) | 0-0 | Friendlies Clubs |
| May 29, 2021 | Brattvåg(away) | 1-3 | Friendlies Clubs |
| Oct 3, 2020 | hodd(away) | 1-3 | 2. Division - Group 1 |
| Sep 26, 2020 | Kjelsås(home) | 2-2 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 12, 2021 | Alta(home) | 2-1 | Friendlies Clubs |
| Jun 9, 2021 | Senja(home) | 2-1 | Friendlies Clubs |
| Jun 5, 2021 | Senja(home) | 1-1 | Friendlies Clubs |
| May 30, 2021 | Alta(home) | 2-1 | Friendlies Clubs |
| May 28, 2021 | Fløya(home) | 2-1 | Friendlies Clubs |
What does the head-to-head say?
Across the last 5 meetings: 1 Floro win(s), 1 draw(s), 3 Tromsdalen Uil win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 26, 2020 | Floro 1-4 Tromsdalen Uil | 2. Division - Group 1 |
| Jul 29, 2018 | Floro 1-0 Tromsdalen Uil | 1. Division |
| Jun 24, 2018 | Tromsdalen Uil 1-0 Floro | 1. Division |
| Sep 3, 2017 | Floro 1-1 Tromsdalen Uil | 1. Division |
| Jun 11, 2017 | Tromsdalen Uil 1-0 Floro | 1. Division |
Last archived meeting: Floro vs Tromsdalen Uil on Jul 26, 2020
How many goals should we expect?
Floro score 1.6 and concede 1.9 goals per match over their last 15; Tromsdalen Uil score 1.6 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Floro | 1.6 | 1.9 | 4 | 10/15 | 12/15 |
| Tromsdalen Uil | 1.6 | 1.3 | 1 | 12/15 | 10/15 |
Over the last 15 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy