Montedio Yamagata vs FC Tokyo: result 2-2 and analysis
Emperor Cup4th RoundKick-off on August 22, 2018 at 10:00 AM (UTC)ND Soft Stadium, Tendo
Full time
What was the result of Montedio Yamagata vs FC Tokyo?
Montedio Yamagata and FC Tokyo drew 2-2 on August 22, 2018.
Goalscorers
- 6′Diego OliveiraFC Tokyo (pen.)
- 9′T. SakanoMontedio Yamagata
What is the recent form of both teams?
Over their last 15 matches in all competitions, Montedio Yamagata have 8 wins, 3 draws and 4 defeats; FC Tokyo have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 18, 2018 | Tokushima Vortis(away) | 1-5 | J2 League |
| Aug 11, 2018 | Tokyo Verdy(home) | 2-1 | J2 League |
| Aug 4, 2018 | Kyoto Sanga(away) | 0-1 | J2 League |
| Jul 25, 2018 | Fagiano Okayama(home) | 1-0 | J2 League |
| Jul 21, 2018 | Albirex Niigata(home) | 1-2 | J2 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 19, 2018 | Consadole Sapporo(away) | 2-3 | J1 League |
| Aug 15, 2018 | Kashiwa Reysol(home) | 0-1 | J1 League |
| Aug 10, 2018 | Gamba Osaka(away) | 1-2 | J1 League |
| Aug 5, 2018 | Vissel Kobe(home) | 1-0 | J1 League |
| Aug 1, 2018 | Kashima(away) | 2-1 | J1 League |
What does the head-to-head say?
Across the last 2 meetings: 0 Montedio Yamagata win(s), 1 draw(s), 1 FC Tokyo win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 19, 2015 | FC Tokyo 0-0 Montedio Yamagata | J1 League |
| Apr 25, 2015 | Montedio Yamagata 0-1 FC Tokyo | J1 League |
Last archived meeting: FC Tokyo vs Montedio Yamagata on Jul 19, 2015
How many goals should we expect?
Montedio Yamagata score 1.7 and concede 1.5 goals per match over their last 15; FC Tokyo score 1.5 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Montedio Yamagata | 1.7 | 1.5 | 2 | 11/15 | 10/15 |
| FC Tokyo | 1.5 | 1.1 | 5 | 7/15 | 7/15 |
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