Odd II vs Senja: result 6-1 and analysis
2. Division - Group 2Regular Season - 22Kick-off on September 30, 2019 at 12:00 PM (UTC)Skagerak Arena, Skien
Full time
What was the result of Odd II vs Senja?
Odd II won 6-1 on September 30, 2019.
Goalscorers
- 16′T. LauritsenOdd II
- 45′T. LauritsenOdd II
- 49′Tor Martin MiennaSenja
- 58′B. NjieOdd II
- 71′S. AarrestadOdd II
- 72′T. LauritsenOdd II
- 90′T. LauritsenOdd II
What is the recent form of both teams?
Over their last 15 matches in all competitions, Odd II have 4 wins, 2 draws and 9 defeats; Senja have 2, 4 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 23, 2019 | Floro(home) | 2-2 | 2. Division - Group 2 |
| Sep 16, 2019 | Asane(away) | 0-2 | 2. Division - Group 2 |
| Sep 7, 2019 | Elverum(home) | 2-1 | 2. Division - Group 2 |
| Sep 2, 2019 | Kjelsås(away) | 1-1 | 2. Division - Group 2 |
| Aug 26, 2019 | Grorud(home) | 1-2 | 2. Division - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Asane(home) | 0-2 | 2. Division - Group 2 |
| Sep 15, 2019 | Elverum(away) | 0-1 | 2. Division - Group 2 |
| Sep 8, 2019 | Floro(home) | 2-3 | 2. Division - Group 2 |
| Sep 1, 2019 | Mjølner(away) | 1-0 | 2. Division - Group 2 |
| Aug 25, 2019 | Oppsal(home) | 3-1 | 2. Division - Group 2 |
What does the head-to-head say?
In the last meeting: 0 Odd II wins, 0 draws, 1 Senja win.
| Date | Score | Competition |
|---|---|---|
| May 13, 2019 | Senja 5-0 Odd II | 2. Division - Group 2 |
How many goals should we expect?
Odd II score 1.6 and concede 1.7 goals per match over their last 15; Senja score 0.9 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Odd II | 1.6 | 1.7 | 1 | 10/15 | 10/15 |
| Senja | 0.9 | 1.7 | 1 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Odd II vs Senja?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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