SS Sfaxien vs ES Hammam-Sousse: prediction and stats
Ligue 2Promotion Round - 3Kick-off on April 25, 2021 at 12:30 PM (UTC)Hammam-Lif Gazon, Hammam-Lif
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, SS Sfaxien have 4 wins, 2 draws and 9 defeats; ES Hammam-Sousse have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2021 | AS Gabes(home) | 0-2 | Ligue 2 |
| Apr 18, 2021 | ES Zarzis(away) | 0-2 | Ligue 2 |
| Apr 4, 2021 | Menzel Nour(away) | 0-1 | Ligue 2 |
| Mar 28, 2021 | Oued Ellil(home) | 4-3 | Ligue 2 |
| Mar 21, 2021 | M'saken(home) | 1-0 | Ligue 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 22, 2021 | ES Zarzis(home) | 2-1 | Ligue 2 |
| Apr 18, 2021 | AS Gabes(away) | 1-0 | Ligue 2 |
| Apr 3, 2021 | Radès(away) | 0-2 | Ligue 2 |
| Mar 27, 2021 | AS Kasserine(home) | 1-1 | Ligue 2 |
| Mar 20, 2021 | ES Zarzis(away) | 1-3 | Ligue 2 |
What does the head-to-head say?
In the last meeting: 1 SS Sfaxien win, 0 draws, 0 ES Hammam-Sousse wins.
| Date | Score | Competition |
|---|---|---|
| Oct 30, 2016 | ES Hammam-Sousse 0-1 SS Sfaxien | Cup |
Last archived meeting: ES Hammam-Sousse vs SS Sfaxien on Oct 30, 2016
How many goals should we expect?
SS Sfaxien score 0.8 and concede 1.5 goals per match over their last 15; ES Hammam-Sousse score 0.9 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| SS Sfaxien | 0.8 | 1.5 | 3 | 5/15 | 4/15 |
| ES Hammam-Sousse | 0.9 | 0.9 | 6 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | ES Hammam-Sousse | 26 | 15 | 6 | 5 | 40 | 19 | 51 |
A question about SS Sfaxien vs ES Hammam-Sousse?
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