Tunisia offers a football scene where consistency and form often decide outcomes. The Ligue 2 is widely recognized for the level of competition it consistently delivers. We focus on relevant data points to help you understand how teams are performing.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Group A - Round 25 | ||||
| Hamam-Sousse Sfax Railways 2026-05-01 |
LDWWW
WWLDL |
1 | 2:2 |
88.08%
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Group A - Round 19 | ||||
| Megrine US Tataouine 2026-02-28 |
LWLLD
WLDWW |
X2 | 0:1 |
96.77%
|
| Msaken EM Mahdia 2026-02-27 |
LLDLD
WDDLW |
X2 | 2:0 |
52.85%
|
| Group B - Round 19 | ||||
| Kalaa Korba 2026-02-27 |
LW
DWWDD |
Handicap 2 (0:2) | 2:1 |
91.16%
|
| Ksour Essef Jendouba Sport 2026-02-27 |
DLLLL
WLDLW |
X2 | 2:1 |
69%
|
| Progres Sakiet EGS Gafsa 2026-02-27 |
WWWDD
LLWDL |
1 | 3:0 |
87.83%
|
| Stade Gabesien Sidi Bouzid 2026-02-27 |
LWWDD
LL |
1 | 0:1 |
98.53%
|
| Group A - Round 17 | ||||
| AS Agareb US Tataouine 2026-02-16 |
WLL
DWW |
2 DNB | 2:1 |
88.08%
|
| Bousalem Hammam-Lif 2026-02-16 |
LL
DWLL |
X2 | 0:3 |
88.08%
|
| BS Bouhajla EM Mahdia 2026-02-16 |
DWL
DLW |
1 DNB | 0:0 |
73.11%
|
| Chebba Megrine 2026-02-16 |
LWD
LLD |
X2 | 1:2 |
58.26%
|
| Msaken OC Kerkennah 2026-02-16 |
DLD
LWLDW |
1 DNB | 0:1 |
71.44%
|
| Sfax Railways Menzel Bourguiba 2026-02-16 |
DWDW
DWL |
1 | 2:1 |
95.62%
|
| Sporting Ben Arous Hamam-Sousse 2026-02-16 |
DLD
WWWL |
X2 | 1:1 |
88.93%
|
| Group B - Round 17 | ||||
| Moknine Korba 2026-02-16 |
LWDL
WDDW |
X2 |
97.88%
|
|
| Djelma Ariana 2026-02-15 |
WL
DLWL |
1X | 1:0 |
85.2%
|
| Kalaa EGS Gafsa 2026-02-15 |
LLLL
WDLW |
X2 | 4:1 |
96.56%
|
| Kasserine Bouchamma 2026-02-15 |
WWW
WLW |
1 | 0:1 |
91.16%
|
| Progres Sakiet Sidi Bouzid 2026-02-15 |
WDDWW
LWD |
1 | 3:0 |
71.78%
|
| Redeyef Ksour Essef 2026-02-15 |
LDW
LLL |
1X | 2:1 |
73.11%
|
| Stade Gabesien Jendouba Sport 2026-02-15 |
WDDW
DLW |
1 DNB | 2:0 |
64.18%
|
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";Our methodology
Our system generates Ligue 2 predictions through data analysis and performance tracking. Models like Linear Regression are used to identify relationships within performance data. We evaluate performance using a combination of offensive and defensive data. This ensures each prediction is supported by measurable trends.
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