BSC Glasgow vs Bonnyrigg Rose Athletic: prediction and stats
Football League - Lowland LeagueLowland League - 33Kick-off on April 10, 2021 at 02:00 PM (UTC)Indodrill Stadium, Alloa
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, BSC Glasgow have 9 wins, 3 draws and 3 defeats; Bonnyrigg Rose Athletic have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 1, 2021 | Caledonian Braves(home) | 3-2 | Football League - Lowland League |
| Dec 16, 2020 | Stirling University(home) | 2-1 | Football League - Lowland League |
| Dec 12, 2020 | Haddington Athletic(home) | 2-3 | FA Cup |
| Nov 28, 2020 | Edinburgh University(away) | 6-0 | Football League - Lowland League |
| Nov 25, 2020 | East Stirlingshire(home) | 5-1 | Football League - Lowland League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 9, 2021 | Dundee(away) | 2-3 | FA Cup |
| Jan 1, 2021 | Bo'ness United(home) | 5-2 | FA Cup |
| Dec 15, 2020 | Edinburgh University(home) | 3-0 | Football League - Lowland League |
| Dec 5, 2020 | Dalbeattie Star(away) | 3-1 | Football League - Lowland League |
| Nov 28, 2020 | East Kilbride(home) | 2-1 | Football League - Lowland League |
How many goals should we expect?
BSC Glasgow score 2.7 and concede 1.5 goals per match over their last 15; Bonnyrigg Rose Athletic score 2.4 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| BSC Glasgow | 2.7 | 1.5 | 5 | 9/15 | 12/15 |
| Bonnyrigg Rose Athletic | 2.4 | 0.8 | 7 | 7/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 18 | Bonnyrigg Rose Athletic | 13 | 6 | 2 | 5 | 27 | 15 | 20 |
A question about BSC Glasgow vs Bonnyrigg Rose Athletic?
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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
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