Roan United vs National Assembly: result 2-1 and analysis
Super LeagueRegular Season - 24Kick-off on October 31, 2012 at 02:00 PM (UTC)Kafubu Stadium, Luanshya
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What was the result of Roan United vs National Assembly?
Roan United won 2-1 on October 31, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Roan United have 5 wins, 6 draws and 4 defeats; National Assembly have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2012 | Forest Rangers(away) | 3-2 | Super League |
| Oct 13, 2012 | Indeni(home) | 1-0 | Super League |
| Oct 6, 2012 | Power Dynamos(home) | 3-0 | Super League |
| Sep 29, 2012 | Nchanga Rangers(away) | 0-3 | Super League |
| Sep 1, 2012 | Red Arrows(home) | 2-1 | Super League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 20, 2012 | NAPSA Stars(home) | 1-0 | Super League |
| Oct 13, 2012 | Red Arrows(away) | 1-1 | Super League |
| Oct 6, 2012 | ZESCO United(away) | 2-1 | Super League |
| Sep 29, 2012 | Nkana(home) | 0-1 | Super League |
| Sep 1, 2012 | Green Buffaloes(away) | 1-2 | Super League |
What does the head-to-head say?
In the last meeting: 0 Roan United wins, 0 draws, 1 National Assembly win.
| Date | Score | Competition |
|---|---|---|
| Jun 2, 2012 | National Assembly 1-0 Roan United | Super League |
Last archived meeting: National Assembly vs Roan United on Jun 2, 2012
How many goals should we expect?
Roan United score 1.1 and concede 1.1 goals per match over their last 15; National Assembly score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Roan United | 1.1 | 1.1 | 4 | 8/15 | 7/15 |
| National Assembly | 0.9 | 1.2 | 3 | 8/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Roan United vs National Assembly?
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