Harstad vs Ullern: result 3-4 and analysis
3. Division - Girone 1Group 1 - 12Kick-off on June 29, 2025 at 01:00 PM (UTC)Harstad Stadion, Harstad
Full time
What was the result of Harstad vs Ullern?
Ullern won 3-4 on June 29, 2025.
Goalscorers
- 2′577525Harstad
- 32′612595Harstad
- 36′577491Ullern
- 43′N. KnezevicUllern
- 45′612612Ullern
- 71′612648Harstad
- 84′612665Ullern
What is the recent form of both teams?
Over their last 15 matches in all competitions, Harstad have 6 wins, 0 draws and 9 defeats; Ullern 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 |
|---|---|---|---|
| Jun 21, 2025 | Junkeren(away) | 1-2 | 3. Division - Girone 1 |
| Jun 14, 2025 | Fløya(home) | 2-5 | 3. Division - Girone 1 |
| Jun 9, 2025 | Funnefoss / Vormsund(away) | 3-0 | 3. Division - Girone 1 |
| May 31, 2025 | Sortland(home) | 4-1 | 3. Division - Girone 1 |
| May 24, 2025 | Skjervøy(away) | 2-3 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2025 | Gamle Oslo(home) | 4-4 | 3. Division - Girone 1 |
| Jun 14, 2025 | KFUM II(away) | 1-3 | 3. Division - Girone 1 |
| Jun 7, 2025 | Ulfstind(home) | 6-0 | 3. Division - Girone 1 |
| Jun 1, 2025 | Alta II(away) | 2-1 | 3. Division - Girone 1 |
| May 25, 2025 | Fløya(home) | 4-3 | 3. Division - Girone 1 |
How many goals should we expect?
Harstad score 1.9 and concede 1.9 goals per match over their last 15; Ullern score 2.5 and concede 2.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Harstad | 1.9 | 1.9 | 3 | 9/15 | 12/15 |
| Ullern | 2.5 | 2.4 | 1 | 12/15 | 14/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Ullern | 23 | 7 | 2 | 14 | 42 | 60 | 23 |
A question about Harstad vs Ullern?
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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