Senja vs Floro: prediction and stats
2. Division - Group 1Group 1 - 22Kick-off on October 3, 2021 at 11:00 AM (UTC)Senja Storhall, Silsand
Match postponed — new date to be confirmed
What is the recent form of both teams?
Over their last 15 matches in all competitions, Senja have 1 wins, 6 draws and 8 defeats; Floro have 4, 1 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Kvik Halden(home) | 2-3 | 2. Division - Group 1 |
| Sep 25, 2021 | Alta(away) | 1-3 | 2. Division - Group 1 |
| Sep 19, 2021 | Kongsvinger(away) | 0-5 | 2. Division - Group 1 |
| Sep 11, 2021 | Fløya(home) | 1-1 | 2. Division - Group 1 |
| Sep 4, 2021 | Floro(away) | 0-3 | 2. Division - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 2, 2021 | Kongsvinger(home) | 0-5 | 2. Division - Group 1 |
| Sep 27, 2021 | Vålerenga II(away) | 2-3 | 2. Division - Group 1 |
| Sep 18, 2021 | Alta(home) | 1-2 | 2. Division - Group 1 |
| Sep 11, 2021 | Bærum(away) | 2-3 | 2. Division - Group 1 |
| Sep 4, 2021 | Senja(home) | 3-0 | 2. Division - Group 1 |
What does the head-to-head say?
Across the last 5 meetings: 0 Senja win(s), 1 draw(s), 4 Floro win(s).
| Date | Score | Competition |
|---|---|---|
| Sep 4, 2021 | Floro 3-0 Senja | 2. Division - Group 1 |
| Aug 15, 2021 | Senja 1-2 Floro | 2. Division - Group 1 |
| Sep 13, 2020 | Floro 3-0 Senja | 2. Division - Group 1 |
| Sep 8, 2019 | Senja 2-3 Floro | 2. Division - Group 2 |
| Jun 1, 2019 | Floro 1-1 Senja | 2. Division - Group 2 |
How many goals should we expect?
Senja score 1.3 and concede 2.3 goals per match over their last 15; Floro score 1.2 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Senja | 1.3 | 2.3 | 1 | 11/15 | 10/15 |
| Floro | 1.2 | 2.6 | 2 | 10/15 | 12/15 |
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