Lokomotiv Oslo vs Lysekloster: result 1-2 and analysis
3. Division - Girone 1Group 1 - 11Kick-off on June 24, 2023 at 02:00 PM (UTC)Tørteberg kunstgress 2, Oslo
Full time
What was the result of Lokomotiv Oslo vs Lysekloster?
Lysekloster won 1-2 on June 24, 2023.
Goalscorers
- 15′A. DangLysekloster
- 25′?Lokomotiv Oslo
- 74′A. DangLysekloster
What is the recent form of both teams?
Over their last 15 matches in all competitions, Lokomotiv Oslo have 3 wins, 6 draws and 6 defeats; Lysekloster have 11, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 17, 2023 | Lillestrøm II(away) | 2-1 | 3. Division - Girone 1 |
| Jun 10, 2023 | Sandviken(home) | 1-2 | 3. Division - Girone 1 |
| Jun 5, 2023 | Frigg(away) | 1-1 | 3. Division - Girone 1 |
| May 29, 2023 | Skedsmo(home) | 2-2 | 3. Division - Girone 1 |
| May 24, 2023 | Ull/Kisa(home) | 5-5 | NM Cupen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2023 | Fana(home) | 1-0 | 3. Division - Girone 1 |
| Jun 11, 2023 | Ullern II(away) | 2-1 | 3. Division - Girone 1 |
| Jun 3, 2023 | Gjelleråsen(home) | 2-1 | 3. Division - Girone 1 |
| Jun 1, 2023 | Sogndal(home) | 1-2 | NM Cupen |
| May 28, 2023 | Sandviken(home) | 0-1 | 3. Division - Girone 1 |
How many goals should we expect?
Lokomotiv Oslo score 1.5 and concede 2.1 goals per match over their last 15; Lysekloster score 2.2 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Lokomotiv Oslo | 1.5 | 2.1 | 3 | 11/15 | 10/15 |
| Lysekloster | 2.2 | 1.0 | 5 | 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 |
|---|---|---|---|---|---|---|---|---|
| 11 | Lokomotiv Oslo | 26 | 9 | 3 | 14 | 48 | 72 | 30 |
A question about Lokomotiv Oslo vs Lysekloster?
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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