Rahmatgonj MFS vs Team BJMC: result 3-2 and analysis
Premier LeagueRegular Season - 8Kick-off on September 27, 2016 at 01:30 PM (UTC)Shaheed Bir Sreshtho Flight Lieutenant Matiur Rahman Stadium, Munshiganj
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What was the result of Rahmatgonj MFS vs Team BJMC?
Rahmatgonj MFS won 3-2 on September 27, 2016.
What is the recent form of both teams?
Over their last 7 matches in all competitions, Rahmatgonj MFS have 3 wins, 4 draws and 0 defeats; Team BJMC have 1, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2016 | Feni(away) | 1-1 | Premier League |
| Aug 19, 2016 | Abahani Chittagong(home) | 2-0 | Premier League |
| Aug 16, 2016 | Arambagh(home) | 2-2 | Premier League |
| Aug 10, 2016 | Baridhara(away) | 2-0 | Premier League |
| Aug 1, 2016 | Sheikh Jamal(away) | 1-1 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2016 | Baridhara(home) | 2-1 | Premier League |
| Aug 18, 2016 | Sheikh Jamal(home) | 2-3 | Premier League |
| Aug 12, 2016 | Sheikh Russel(away) | 1-1 | Premier League |
| Aug 7, 2016 | Mohammedan Chittagong(home) | 1-1 | Premier League |
| Aug 2, 2016 | Abahani(away) | 0-1 | Premier League |
How many goals should we expect?
Rahmatgonj MFS score 1.6 and concede 0.7 goals per match over their last 7; Team BJMC score 1.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rahmatgonj MFS | 1.6 | 0.7 | 3 | 4/7 | 1/7 |
| Team BJMC | 1.1 | 1.3 | 0 | 6/7 | 2/7 |
Over the last 7 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 6 | Rahmatgonj MFS | 18 | 6 | 5 | 7 | 21 | 25 | 23 |
A question about Rahmatgonj MFS vs Team BJMC?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy