UMS de Loum vs Stade Renard: result 0-0 and analysis
Elite OneRegular Season - 14Kick-off on May 14, 2017 at 02:30 PM (UTC)Stade Municipal de Loum, Loum
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What was the result of UMS de Loum vs Stade Renard?
UMS de Loum and Stade Renard drew 0-0 on May 14, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, UMS de Loum have 7 wins, 6 draws and 2 defeats; Stade Renard have 6, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Cotonsport(away) | 1-4 | Elite One |
| Apr 30, 2017 | New Star(home) | 0-0 | Elite One |
| Apr 23, 2017 | Colombe(away) | 3-0 | Elite One |
| Apr 19, 2017 | Canon(home) | 0-0 | Elite One |
| Apr 12, 2017 | Young Sport Academy(away) | 0-1 | Elite One |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 7, 2017 | Les Astres(away) | 2-3 | Elite One |
| Apr 30, 2017 | Aigle Royal(home) | 0-0 | Elite One |
| Apr 23, 2017 | Lion Blessé(home) | 1-0 | Elite One |
| Apr 19, 2017 | Union Douala(away) | 1-0 | Elite One |
| Apr 9, 2017 | Young Sport Academy(home) | 1-0 | Elite One |
How many goals should we expect?
UMS de Loum score 0.9 and concede 0.5 goals per match over their last 15; Stade Renard score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UMS de Loum | 0.9 | 0.5 | 11 | 3/15 | 3/15 |
| Stade Renard | 1.1 | 0.8 | 7 | 3/12 | 4/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Stade Renard | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
A question about UMS de Loum vs Stade Renard?
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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