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 win, 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 wins, 1 draw, 4 Floro wins.
| 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.
A question about Senja vs Floro?
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