Floro vs Eidsvold: prediction and stats
2. Division - Group 1Group 1 - 23Kick-off on October 10, 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, 1 draw and 10 defeats; Eidsvold 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 |
|---|---|---|---|
| Oct 9, 2021 | Kvik Halden(away) | 2-3 | 2. Division - Group 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 9, 2021 | hodd(away) | 0-2 | 2. Division - Group 1 |
| Oct 4, 2021 | Vålerenga II(home) | 3-2 | 2. Division - Group 1 |
| Sep 25, 2021 | Kongsvinger(away) | 0-6 | 2. Division - Group 1 |
| Sep 18, 2021 | Moss(home) | 2-2 | 2. Division - Group 1 |
| Sep 12, 2021 | Alta(away) | 3-1 | 2. Division - Group 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Floro win, 0 draws, 1 Eidsvold win.
| Date | Score | Competition |
|---|---|---|
| Jun 19, 2021 | Eidsvold 4-1 Floro | 2. Division - Group 1 |
| Aug 23, 2020 | Floro 6-1 Eidsvold | 2. Division - Group 1 |
How many goals should we expect?
Floro score 1.3 and concede 2.5 goals per match over their last 15; Eidsvold score 1.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Floro | 1.3 | 2.5 | 2 | 10/15 | 12/15 |
| Eidsvold | 1.9 | 2.0 | 2 | 10/15 | 12/15 |
Over the last 15 matches in all competitions.
A question about Floro vs Eidsvold?
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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