Tadjenant vs JS Kabylie: result 1-1 and analysis
Ligue 1Regular Season - 6Kick-off on September 28, 2015 at 03:00 PM (UTC)Stade Ismail Lahoua, Tadjenanet
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What was the result of Tadjenant vs JS Kabylie?
Tadjenant and JS Kabylie drew 1-1 on September 28, 2015.
Goalscorers
- 52′Mohamed El Hadi BoulaouidetJS Kabylie
- 71′N. TembengTadjenant
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tadjenant have 8 wins, 5 draws and 2 defeats; JS Kabylie 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 |
|---|---|---|---|
| Sep 19, 2015 | Usm El Harrach(home) | 0-0 | Ligue 1 |
| Sep 12, 2015 | ASM Oran(away) | 1-0 | Ligue 1 |
| Aug 29, 2015 | Blida(home) | 2-1 | Ligue 1 |
| Aug 22, 2015 | JSM Skikda(away) | 0-1 | Ligue 1 |
| Aug 15, 2015 | RC Relizane(home) | 2-1 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 19, 2015 | RC Relizane(home) | 1-0 | Ligue 1 |
| Sep 12, 2015 | CR Belouizdad(away) | 1-1 | Ligue 1 |
| Aug 29, 2015 | USM Alger(home) | 0-1 | Ligue 1 |
| Aug 22, 2015 | MO Bejaia(away) | 0-0 | Ligue 1 |
| Aug 15, 2015 | CS Constantine(home) | 0-1 | Ligue 1 |
How many goals should we expect?
Tadjenant score 0.9 and concede 0.5 goals per match over their last 15; JS Kabylie score 0.8 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tadjenant | 0.9 | 0.5 | 9 | 4/15 | 3/15 |
| JS Kabylie | 0.8 | 1.0 | 5 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | JS Kabylie | 4 | 2 | 1 | 1 | 3 | 2 | 7 |
A question about Tadjenant vs JS Kabylie?
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