MC Saida vs USM Bel Abbes: result 1-3 and analysis
Ligue 2Regular Season - 28Kick-off on May 2, 2014 at 03:00 PM (UTC)Stade 13 Avril 1958, Saïda
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What was the result of MC Saida vs USM Bel Abbes?
USM Bel Abbes won 1-3 on May 2, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MC Saida have 5 wins, 5 draws and 5 defeats; USM Bel Abbes have 5, 8 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2014 | Blida(away) | 2-3 | Ligue 2 |
| Apr 25, 2014 | Hussein Dey(away) | 0-1 | Ligue 2 |
| Mar 28, 2014 | Mérouana(home) | 2-1 | Ligue 2 |
| Mar 21, 2014 | USM Annaba(away) | 1-1 | Ligue 2 |
| Mar 14, 2014 | Khroub(home) | 1-1 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2014 | Hussein Dey(home) | 1-1 | Ligue 2 |
| Apr 25, 2014 | Khroub(away) | 2-2 | Ligue 2 |
| Mar 28, 2014 | USM Annaba(home) | 2-0 | Ligue 2 |
| Mar 21, 2014 | USMM Hadjout(away) | 0-0 | Ligue 2 |
| Mar 14, 2014 | MSP Batna(home) | 1-1 | Ligue 2 |
What does the head-to-head say?
In the last meeting: 0 MC Saida wins, 1 draw, 0 USM Bel Abbes wins.
| Date | Score | Competition |
|---|---|---|
| Nov 29, 2013 | USM Bel Abbes 1-1 MC Saida | Ligue 2 |
Last archived meeting: USM Bel Abbes vs MC Saida on Nov 29, 2013
How many goals should we expect?
MC Saida score 1.1 and concede 1.1 goals per match over their last 15; USM Bel Abbes score 1.1 and concede 0.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MC Saida | 1.1 | 1.1 | 4 | 7/15 | 4/15 |
| USM Bel Abbes | 1.1 | 0.7 | 7 | 7/15 | 3/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | MC Saida | 4 | 3 | 1 | 0 | 5 | 2 | 10 |
A question about MC Saida vs USM Bel Abbes?
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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