Sanfrecce Hiroshima vs Melbourne Victory: result 2-1 and analysis
AFC Champions League EliteGroup Stage - 2Kick-off on March 12, 2019 at 10:00 AM (UTC)Edion Peace Wing Hiroshima, Hiroshima
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What was the result of Sanfrecce Hiroshima vs Melbourne Victory?
Sanfrecce Hiroshima won 2-1 on March 12, 2019.
Goalscorers
- 3′S. HigashiSanfrecce Hiroshima
- 71′Keisuke HondaMelbourne Victory
- 86′D. WatariSanfrecce Hiroshima
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sanfrecce Hiroshima have 1 wins, 5 draws and 9 defeats; Melbourne Victory have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 9, 2019 | Cerezo Osaka(away) | 1-0 | J1 League |
| Mar 5, 2019 | Guangzhou Evergrande FC(away) | 0-2 | AFC Champions League Elite |
| Mar 1, 2019 | Jubilo Iwata(home) | 0-0 | J1 League |
| Feb 23, 2019 | Shimizu S-pulse(home) | 1-1 | J1 League |
| Feb 19, 2019 | Chiangrai United(home) | 0-0 | AFC Champions League Elite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 5, 2019 | Daegu FC(home) | 1-3 | AFC Champions League Elite |
| Mar 2, 2019 | Newcastle Jets(home) | 0-2 | A-League |
| Feb 23, 2019 | Melbourne City(home) | 1-1 | A-League |
| Feb 15, 2019 | Wellington Phoenix(away) | 1-1 | A-League |
| Feb 10, 2019 | Perth Glory(home) | 1-2 | A-League |
How many goals should we expect?
Sanfrecce Hiroshima score 0.5 and concede 1.4 goals per match over their last 15; Melbourne Victory score 1.8 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sanfrecce Hiroshima | 0.5 | 1.4 | 3 | 5/15 | 4/15 |
| Melbourne Victory | 1.8 | 1.5 | 1 | 12/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Sanfrecce Hiroshima | 8 | 4 | 3 | 1 | 10 | 6 | 15 |
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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