Thespakusatsu Gunma vs Sagamihara: result 1-1 and analysis
J3 LeagueRegular Season - 9Kick-off on May 3, 2018 at 10:30 AM (UTC)Shoda Shoyu Stadium, Maebashi
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What was the result of Thespakusatsu Gunma vs Sagamihara?
Thespakusatsu Gunma and Sagamihara drew 1-1 on May 3, 2018.
Goalscorers
- 6′Samuel AlvesSagamihara
- 18′S. OkadaThespakusatsu Gunma
What is the recent form of both teams?
Over their last 15 matches in all competitions, Thespakusatsu Gunma have 3 wins, 3 draws and 9 defeats; Sagamihara have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2018 | Kitakyushu(away) | 1-0 | J3 League |
| Apr 15, 2018 | Fujieda MYFC(home) | 2-1 | J3 League |
| Apr 7, 2018 | Kagoshima United(home) | 0-2 | J3 League |
| Apr 1, 2018 | Grulla Morioka(away) | 1-1 | J3 League |
| Mar 25, 2018 | FC Ryukyu(home) | 0-2 | J3 League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2018 | Kataller Toyama(home) | 1-0 | J3 League |
| Apr 8, 2018 | Kitakyushu(away) | 4-0 | J3 League |
| Apr 1, 2018 | Gainare Tottori(home) | 2-4 | J3 League |
| Mar 25, 2018 | Cerezo Osaka U23(away) | 1-2 | J3 League |
| Mar 17, 2018 | Parceiro Nagano(home) | 2-2 | J3 League |
How many goals should we expect?
Thespakusatsu Gunma score 1.1 and concede 2.0 goals per match over their last 15; Sagamihara score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Thespakusatsu Gunma | 1.1 | 2.0 | 2 | 11/15 | 8/15 |
| Sagamihara | 1.8 | 1.5 | 5 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Thespakusatsu Gunma sit 20th in J3 League (0 points from 3 matches) and Sagamihara sit 3rd (7 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sagamihara | 3 | 2 | 1 | 0 | 6 | 2 | 7 |
| 20 | Thespakusatsu Gunma | 3 | 0 | 0 | 3 | 3 | 8 | 0 |
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