Djerv vs Fyllingsdalen: result 0-1 and analysis
3. Division - Girone 3Group 3 - 2Kick-off on April 15, 2023 at 01:00 PM (UTC)Djervbanen, Haugesund
Full time
What was the result of Djerv vs Fyllingsdalen?
Fyllingsdalen won 0-1 on April 15, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djerv have 5 wins, 5 draws and 5 defeats; Fyllingsdalen have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2023 | Eiger(away) | 2-1 | 3. Division - Girone 3 |
| Apr 1, 2023 | Vard(home) | 2-2 | Friendlies Clubs |
| Oct 23, 2022 | Viking II(away) | 2-2 | 3. Division - Girone 3 |
| Oct 16, 2022 | Åkra(home) | 8-0 | 3. Division - Girone 3 |
| Oct 8, 2022 | Stord(away) | 3-5 | 3. Division - Girone 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 10, 2023 | Loddefjord(home) | 2-1 | 3. Division - Girone 3 |
| Oct 23, 2022 | Sandviken(home) | 3-7 | 3. Division - Girone 1 |
| Oct 16, 2022 | Os(away) | 3-4 | 3. Division - Girone 1 |
| Oct 8, 2022 | Kjelsås II(home) | 1-0 | 3. Division - Girone 1 |
| Oct 1, 2022 | IF Ready(away) | 3-2 | 3. Division - Girone 1 |
How many goals should we expect?
Djerv score 2.1 and concede 1.9 goals per match over their last 15; Fyllingsdalen score 1.9 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djerv | 2.1 | 1.9 | 4 | 9/15 | 11/15 |
| Fyllingsdalen | 1.9 | 2.2 | 4 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Djerv sit 1st in 3. Division - Girone 3 (53 points from 24 matches) and Fyllingsdalen sit 14th (6 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Djerv | 24 | 16 | 5 | 3 | 62 | 31 | 53 |
| 14 | Fyllingsdalen | 24 | 1 | 3 | 20 | 20 | 76 | 6 |
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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