Rosenborg vs Celtic: result 0-1 and analysis
UEFA Champions League3rd Qualifying RoundKick-off on August 2, 2017 at 06:45 PM (UTC)Lerkendal Stadion, Trondheim
Full time
What was the result of Rosenborg vs Celtic?
Celtic won 0-1 on August 2, 2017.
Goalscorers
- 69′J. ForrestCeltic
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rosenborg have 7 wins, 6 draws and 2 defeats; Celtic have 11, 4 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2017 | Celtic(away) | 0-0 | UEFA Champions League |
| Jul 19, 2017 | Dundalk(home) | 2-1 | UEFA Champions League |
| Jul 15, 2017 | Sogndal(away) | 3-0 | Eliteserien |
| Jul 12, 2017 | Dundalk(away) | 1-1 | UEFA Champions League |
| Jul 8, 2017 | Sandefjord(home) | 5-1 | Eliteserien |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 26, 2017 | Rosenborg(home) | 0-0 | UEFA Champions League |
| Jul 19, 2017 | Linfield(home) | 4-0 | UEFA Champions League |
| Jul 14, 2017 | Linfield(away) | 2-0 | UEFA Champions League |
| May 21, 2017 | Heart Of Midlothian(home) | 2-0 | Premiership |
| May 18, 2017 | Partick(away) | 5-0 | Premiership |
What does the head-to-head say?
Across the last 1 meetings: 0 Rosenborg win(s), 1 draw(s), 0 Celtic win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 26, 2017 | Celtic 0-0 Rosenborg | UEFA Champions League |
How many goals should we expect?
Rosenborg score 1.8 and concede 0.9 goals per match over their last 15; Celtic score 2.9 and concede 0.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rosenborg | 1.8 | 0.9 | 4 | 10/15 | 9/15 |
| Celtic | 2.9 | 0.6 | 7 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 21 | Celtic | 8 | 3 | 3 | 2 | 13 | 14 | 12 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy
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