Fløya vs Tromsdalen Uil: prediction and stats
2. Division - Group 1Group 1 - 20Kick-off on September 18, 2021 at 12:00 PM (UTC)Fløyabanen, Tromsø
Match postponed, new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Fløya have 1 win, 7 draws and 7 defeats; Tromsdalen Uil have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2021 | Asker(away) | 2-3 | 2. Division - Group 1 |
| Sep 11, 2021 | Senja(away) | 1-1 | 2. Division - Group 1 |
| Sep 8, 2021 | Brattvåg(away) | 1-3 | 2. Division - Group 1 |
| Sep 5, 2021 | Moss(away) | 0-6 | 2. Division - Group 1 |
| Aug 22, 2021 | Bærum(away) | 2-1 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 5, 2021 | Bærum(home) | 4-1 | 2. Division - Group 1 |
| Aug 28, 2021 | Senja(home) | 2-0 | 2. Division - Group 1 |
| Aug 22, 2021 | hodd(away) | 0-4 | 2. Division - Group 1 |
| Aug 19, 2021 | Vålerenga II(home) | 4-1 | 2. Division - Group 1 |
| Aug 4, 2021 | Moss(home) | 3-0 | 2. Division - Group 1 |
What does the head-to-head say?
Across the last 4 meetings: 0 Fløya wins, 2 draws, 2 Tromsdalen Uil wins.
| Date | Score | Competition |
|---|---|---|
| Jul 24, 2021 | Fløya 3-3 Tromsdalen Uil | NM Cupen |
| Jun 30, 2021 | Fløya 1-1 Tromsdalen Uil | 2. Division - Group 1 |
| May 28, 2021 | Tromsdalen Uil 2-1 Fløya | Friendlies Clubs |
| Aug 29, 2020 | Tromsdalen Uil 6-0 Fløya | 2. Division - Group 1 |
Last archived meeting: Fløya vs Tromsdalen Uil on Jul 24, 2021
How many goals should we expect?
Fløya score 1.2 and concede 2.4 goals per match over their last 15; Tromsdalen Uil score 2.0 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Fløya | 1.2 | 2.4 | 0 | 13/15 | 8/15 |
| Tromsdalen Uil | 2.0 | 1.5 | 3 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
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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