Brisbane Roar vs Kashima: result 2-1 and analysis
AFC Champions League EliteGroup Stage - 4Kick-off on April 12, 2017 at 09:00 AM (UTC)Suncorp Stadium, Brisbane
Full time
What was the result of Brisbane Roar vs Kashima?
Brisbane Roar won 2-1 on April 12, 2017.
Goalscorers
- 18′J. MaclarenBrisbane Roar
- 49′B. HolmanBrisbane Roar
- 79′R. NagakiKashima
What is the recent form of both teams?
Over their last 15 matches in all competitions, Brisbane Roar have 6 wins, 4 draws and 5 defeats; Kashima have 11, 0 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Perth Glory(away) | 1-3 | A-League |
| Apr 2, 2017 | Central Coast Mariners(home) | 5-1 | A-League |
| Mar 25, 2017 | Melbourne Victory(home) | 1-0 | A-League |
| Mar 19, 2017 | Adelaide United(away) | 1-2 | A-League |
| Mar 14, 2017 | Kashima(away) | 0-3 | AFC Champions League Elite |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 8, 2017 | Cerezo Osaka(home) | 0-1 | J1 League |
| Apr 1, 2017 | Omiya Ardija(away) | 1-0 | J1 League |
| Mar 18, 2017 | Shimizu S-pulse(away) | 3-2 | J1 League |
| Mar 14, 2017 | Brisbane Roar(home) | 3-0 | AFC Champions League Elite |
| Mar 10, 2017 | Yokohama F. Marinos(home) | 1-0 | J1 League |
What does the head-to-head say?
Across the last 1 meetings: 0 Brisbane Roar win(s), 0 draw(s), 1 Kashima win(s).
| Date | Score | Competition |
|---|---|---|
| Mar 14, 2017 | Kashima 3-0 Brisbane Roar | AFC Champions League Elite |
Last archived meeting: Kashima vs Brisbane Roar on Mar 14, 2017
How many goals should we expect?
Brisbane Roar score 1.7 and concede 1.5 goals per match over their last 15; Kashima score 1.6 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Brisbane Roar | 1.7 | 1.5 | 5 | 8/15 | 11/15 |
| Kashima | 1.6 | 0.7 | 9 | 4/15 | 6/15 |
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
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