Vegalta Sendai vs Matsumoto Yamaga: result 2-1 and analysis
Emperor Cup4th RoundKick-off on November 14, 2015 at 04:00 AM (UTC)Yurtec Stadium Sendai, Sendai
Full time
What was the result of Vegalta Sendai vs Matsumoto Yamaga?
Vegalta Sendai won 2-1 on November 14, 2015.
Goalscorers
- 67′Shingo TomitaVegalta Sendai
- 81′N. SugaiVegalta Sendai
What is the recent form of both teams?
Over their last 15 matches in all competitions, Vegalta Sendai have 4 wins, 3 draws and 8 defeats; Matsumoto Yamaga have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2015 | Sagan Tosu(away) | 0-1 | J1 League |
| Oct 25, 2015 | Gamba Osaka(home) | 1-3 | J1 League |
| Oct 17, 2015 | Shimizu S-pulse(away) | 1-0 | J1 League |
| Oct 14, 2015 | Omiya Ardija(home) | 0-0 | Emperor Cup |
| Oct 3, 2015 | Yokohama F. Marinos(home) | 1-3 | J1 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 7, 2015 | Vissel Kobe(away) | 1-2 | J1 League |
| Oct 24, 2015 | Sagan Tosu(home) | 1-2 | J1 League |
| Oct 17, 2015 | Albirex Niigata(away) | 0-2 | J1 League |
| Oct 10, 2015 | Shonan Bellmare(away) | 3-2 | Emperor Cup |
| Oct 3, 2015 | Shimizu S-pulse(home) | 1-0 | J1 League |
What does the head-to-head say?
Across the last 2 meetings: 1 Vegalta Sendai win(s), 0 draw(s), 1 Matsumoto Yamaga win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2015 | Vegalta Sendai 3-1 Matsumoto Yamaga | J1 League |
| Apr 25, 2015 | Matsumoto Yamaga 1-0 Vegalta Sendai | J1 League |
Last archived meeting: Vegalta Sendai vs Matsumoto Yamaga on Aug 12, 2015
How many goals should we expect?
Vegalta Sendai score 1.1 and concede 1.5 goals per match over their last 15; Matsumoto Yamaga score 1.1 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Vegalta Sendai | 1.1 | 1.5 | 3 | 9/15 | 7/15 |
| Matsumoto Yamaga | 1.1 | 1.5 | 2 | 9/15 | 8/15 |
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