Djerv vs Madla: result 4-1 and analysis
3. Division - Girone 3Group 3 - 7Kick-off on May 19, 2023 at 05:00 PM (UTC)Djervbanen, Haugesund
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What was the result of Djerv vs Madla?
Djerv won 4-1 on May 19, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Djerv have 6 wins, 5 draws and 4 defeats; Madla have 5, 2 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2023 | Stord(away) | 1-1 | 3. Division - Girone 3 |
| May 5, 2023 | Bremnes(home) | 4-1 | 3. Division - Girone 3 |
| Apr 29, 2023 | Loddefjord(away) | 3-1 | 3. Division - Girone 3 |
| Apr 21, 2023 | Staal Jørpeland(away) | 3-1 | 3. Division - Girone 3 |
| Apr 15, 2023 | Fyllingsdalen(home) | 0-1 | 3. Division - Girone 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 11, 2023 | Eiger(home) | 2-1 | 3. Division - Girone 3 |
| May 6, 2023 | Bjarg(home) | 4-0 | 3. Division - Girone 3 |
| Apr 29, 2023 | Brodd(away) | 0-3 | 3. Division - Girone 3 |
| Apr 24, 2023 | Viking II(home) | 2-3 | 3. Division - Girone 3 |
| Apr 17, 2023 | Sandnes Ulf II(away) | 3-1 | 3. Division - Girone 3 |
What does the head-to-head say?
Across the last 1 meetings: 1 Djerv win(s), 0 draw(s), 0 Madla win(s).
| Date | Score | Competition |
|---|---|---|
| Oct 2, 2021 | Djerv 1-0 Madla | 3. Division - Girone 3 |
How many goals should we expect?
Djerv score 2.5 and concede 1.7 goals per match over their last 15; Madla score 1.6 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Djerv | 2.5 | 1.7 | 2 | 12/15 | 12/15 |
| Madla | 1.6 | 2.1 | 2 | 8/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Djerv | 16 | 8 | 5 | 3 | 37 | 21 | 29 |
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