Hødd II vs Skjetten: result 1-4 and analysis
3. Division - Girone 5Group 5 - 11Kick-off on June 15, 2024 at 02:00 PM (UTC)Nye Høddvoll Stadion, Ulsteinvik
Full time
What was the result of Hødd II vs Skjetten?
Skjetten won 1-4 on June 15, 2024.
Goalscorers
- 21′?Skjetten
- 45′?Skjetten
- 65′?Skjetten
- 79′?Skjetten
- 90′?Hødd II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hødd II have 5 wins, 3 draws and 7 defeats; Skjetten have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2024 | IF Ready(away) | 2-5 | 3. Division - Girone 5 |
| Jun 2, 2024 | Funnefoss / Vormsund(home) | 2-0 | 3. Division - Girone 5 |
| May 27, 2024 | Kristiansund II(away) | 2-2 | 3. Division - Girone 5 |
| May 18, 2024 | Aalesund II(home) | 0-1 | 3. Division - Girone 5 |
| May 11, 2024 | Bjørkelangen(away) | 1-3 | 3. Division - Girone 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 8, 2024 | Funnefoss / Vormsund(away) | 2-1 | 3. Division - Girone 5 |
| Jun 2, 2024 | Aalesund II(home) | 0-2 | 3. Division - Girone 5 |
| May 26, 2024 | Træff(away) | 0-1 | 3. Division - Girone 5 |
| May 20, 2024 | IF Ready(home) | 5-1 | 3. Division - Girone 5 |
| May 11, 2024 | Gjelleråsen(away) | 2-2 | 3. Division - Girone 5 |
How many goals should we expect?
Hødd II score 1.9 and concede 2.6 goals per match over their last 15; Skjetten score 1.6 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hødd II | 1.9 | 2.6 | 1 | 12/15 | 12/15 |
| Skjetten | 1.6 | 1.9 | 2 | 9/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 7 | Skjetten | 23 | 10 | 3 | 10 | 56 | 51 | 33 |
A question about Hødd II vs Skjetten?
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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