FCI Tallinn vs Hibernians: result 0-1 and analysis
UEFA Champions League1st Qualifying RoundKick-off on July 4, 2017 at 04:00 PM (UTC)Lasnamäe Kergejõustikuhalli kunstmuruväljak, Tallinn
Full time
What was the result of FCI Tallinn vs Hibernians?
Hibernians won 0-1 on July 4, 2017.
Goalscorers
- 88′JorginhoHibernians
What is the recent form of both teams?
Over their last 15 matches in all competitions, FCI Tallinn have 6 wins, 3 draws and 6 defeats; Hibernians 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 27, 2017 | Hibernians(away) | 0-2 | UEFA Champions League |
| Jun 19, 2017 | Trans Narva(home) | 4-1 | Meistriliiga |
| Jun 16, 2017 | Tulevik(away) | 2-0 | Meistriliiga |
| Jun 2, 2017 | FC Levadia Tallinn(away) | 0-1 | Meistriliiga |
| May 30, 2017 | Kalju Nomme(home) | 2-2 | Meistriliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 27, 2017 | FCI Tallinn(home) | 2-0 | UEFA Champions League |
| May 6, 2017 | Tarxien Rainbows(away) | 6-1 | Premier League |
| Apr 30, 2017 | St. Andrews(home) | 3-1 | Premier League |
| Apr 23, 2017 | Birkirkara(away) | 0-2 | Premier League |
| Apr 15, 2017 | Gzira United(home) | 2-0 | Premier League |
What does the head-to-head say?
Across the last 1 meetings: 0 FCI Tallinn win(s), 0 draw(s), 1 Hibernians win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 27, 2017 | Hibernians 2-0 FCI Tallinn | UEFA Champions League |
Last archived meeting: Hibernians vs FCI Tallinn on Jun 27, 2017
How many goals should we expect?
FCI Tallinn score 2.6 and concede 1.3 goals per match over their last 15; Hibernians score 2.3 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FCI Tallinn | 2.6 | 1.3 | 3 | 7/15 | 9/15 |
| Hibernians | 2.3 | 1.0 | 5 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
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