Football in Moldova offers a mix of structure, intensity, and emerging talent. Within this structure, the Super Liga delivers regular high-level matchups. We analyze team performance using a combination of form, trends, and match data. The variation in matchups makes each fixture important in understanding the league.
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 13 | ||||
| Zimbru Chisinau Dacia Buiucani 2026-09-19 |
WWWWW
WLDDW |
1 |
94.81%
|
|
| Form | Prediction | Result | Confidence % | |
|---|---|---|---|---|
| Round 11 | ||||
| Politehnica UTM Dacia Buiucani 2026-09-05 |
DLWDL
DDWLL |
X2 | 2:1 |
66.07%
|
| Sheriff Tiraspol Petrocub 2026-09-05 |
LWDLW
WLLWW |
Handicap 2 (0:2) | 2:2 |
56.36%
|
| Round 9 | ||||
| Balti Zimbru Chisinau 2026-08-22 |
LLLLD
WLWLW |
2 | 0:4 |
94.36%
|
| Milsami Petrocub 2026-08-22 |
LDDDW
LWWDD |
2 DNB | 1:0 |
68.16%
|
Our methodology
We use statistical modeling techniques to produce consistent Super Liga predictions. Our models assess goal output, defensive records, and consistency over time. This offers a clearer breakdown of team performance and expectations.
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