Bbcu vs Army United: prediction and stats
Thai League 2Regular Season - 13Kick-off on May 7, 2017 at 12:00 PM (UTC)Nonthaburi Youth Centre Stadium, Nonthaburi
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Bbcu have 3 wins, 3 draws and 9 defeats; Army United have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Songkhla United(away) | 0-2 | Thai League 2 |
| Apr 18, 2017 | PTT Rayong(away) | 1-1 | Thai League 2 |
| Apr 9, 2017 | Bangkok(home) | 2-0 | Thai League 2 |
| Apr 5, 2017 | Air Force Central FC(home) | 1-2 | FA Cup |
| Apr 2, 2017 | Trat FC(away) | 1-5 | Thai League 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2017 | Bangkok(home) | 1-0 | Thai League 2 |
| Apr 18, 2017 | Trat FC(away) | 2-3 | Thai League 2 |
| Apr 9, 2017 | Samut Songkhram(home) | 3-0 | Thai League 2 |
| Apr 5, 2017 | Udon Thani(home) | 1-0 | FA Cup |
| Apr 2, 2017 | Chiangmai FC(away) | 2-0 | Thai League 2 |
What does the head-to-head say?
Across the last 4 meetings: 0 Bbcu wins, 2 draws, 2 Army United wins.
| Date | Score | Competition |
|---|---|---|
| Sep 11, 2016 | Bbcu 1-2 Army United | Thai League 1 |
| May 21, 2016 | Army United 2-0 Bbcu | Thai League 1 |
| Oct 13, 2012 | Bbcu 1-1 Army United | Thai League 1 |
| Mar 31, 2012 | Army United 1-1 Bbcu | Thai League 1 |
How many goals should we expect?
Bbcu score 0.8 and concede 1.7 goals per match over their last 15; Army United score 1.6 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bbcu | 0.8 | 1.7 | 4 | 7/15 | 6/15 |
| Army United | 1.6 | 1.4 | 5 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Bbcu vs Army United?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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