Frigg vs Lokomotiv Oslo: result 1-1 and analysis
3. Division - Girone 1Group 1 - 8Kick-off on June 5, 2023 at 06:00 PM (UTC)Tørteberg kunstgress 2, Oslo
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What was the result of Frigg vs Lokomotiv Oslo?
Frigg and Lokomotiv Oslo drew 1-1 on June 5, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Frigg have 8 wins, 2 draws and 5 defeats; Lokomotiv Oslo have 3, 5 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 1, 2023 | Sarpsborg 08 FF(home) | 3-5 | NM Cupen |
| May 27, 2023 | Gjelleråsen(away) | 4-4 | 3. Division - Girone 1 |
| May 24, 2023 | Ullern(home) | 4-1 | NM Cupen |
| May 15, 2023 | Ullern II(home) | 9-2 | 3. Division - Girone 1 |
| May 8, 2023 | Grorud II(away) | 7-3 | 3. Division - Girone 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 29, 2023 | Skedsmo(home) | 2-2 | 3. Division - Girone 1 |
| May 24, 2023 | Ull/Kisa(home) | 5-5 | NM Cupen |
| May 13, 2023 | Skjetten(away) | 2-2 | 3. Division - Girone 1 |
| May 6, 2023 | Os(home) | 0-1 | 3. Division - Girone 1 |
| May 1, 2023 | Stabæk II(away) | 0-0 | 3. Division - Girone 1 |
How many goals should we expect?
Frigg score 3.3 and concede 2.3 goals per match over their last 15; Lokomotiv Oslo score 1.4 and concede 2.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Frigg | 3.3 | 2.3 | 3 | 10/15 | 13/15 |
| Lokomotiv Oslo | 1.4 | 2.2 | 3 | 10/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Frigg sit 8th in 3. Division - Girone 1 (33 points from 24 matches) and Lokomotiv Oslo sit 9th (29 points from 24 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Frigg | 24 | 9 | 6 | 9 | 53 | 58 | 33 |
| 9 | Lokomotiv Oslo | 24 | 9 | 2 | 13 | 46 | 68 | 29 |
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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