Super Liga

Moldova · Season 2026/27

2026/27 2025/26

Matchday 5 of 14 36%

League Table

8 Teams

#	Team	P	W	D	L	GF–GA	GD	Pts	Form
1	Sheriff Tiraspol — Champion	5	3	2	0	10–4	+6	11	P V V P V
2	Dacia-Buiucani	5	3	0	2	10–8	+2	9	V S V V S
3	Petrocub	5	2	2	1	10–5	+5	8	P S P V V
4	Zimbru	5	2	2	1	8–5	+3	8	V P S V P
5	Politehnica UTM	5	2	1	2	7–7	+0	7	S V V P S
6	Milsami Orhei	5	1	2	2	2–7	-5	5	P V S S P
7	CSF Bălți	5	1	1	3	6–10	-4	4	S S P S V
8	Sireți	5	0	2	3	2–9	-7	2	P P S S S
1	Sheriff Tiraspol — Champion	3	2	1	0	7–2	+5	7	V V P
2	Petrocub	3	2	0	1	9–4	+5	6	V V S
3	Zimbru	2	1	1	0	4–1	+3	4	V P
4	CSF Bălți	3	1	1	1	5–5	+0	4	V P S
5	Milsami Orhei	3	1	1	1	2–2	+0	4	P S V
6	Dacia-Buiucani	2	1	0	1	4–5	-1	3	V S
7	Sireți	2	0	1	1	1–2	-1	1	S P
8	Politehnica UTM	2	0	1	1	0–2	-2	1	P S
1	Dacia-Buiucani — Champion	3	2	0	1	6–3	+3	6	S V V
2	Politehnica UTM	3	2	0	1	7–5	+2	6	S V V
3	Sheriff Tiraspol	2	1	1	0	3–2	+1	4	P V
4	Zimbru	3	1	1	1	4–4	+0	4	P S V
5	Petrocub	2	0	2	0	1–1	+0	2	P P
6	Milsami Orhei	2	0	1	1	0–5	-5	1	S P
7	Sireți	3	0	1	2	1–7	-6	1	S S P
8	CSF Bălți	2	0	0	2	1–5	-4	0	S S

Champion

End of season projections

Monte Carlo simulation · 10,000 simulated seasons · updated 29 Jul 2026

Champion

#	Team	Projected Pts	Schedule	Trend
1	Sheriff Tiraspol	15 (11–17) pos. ~1.2°	C1 · T1 ELO 1428	▼0%
2	Dacia-Buiucani	11 (9–15) pos. ~3.5°	C1 · T1 ELO 1570	▼1%
3	Petrocub	11 (8–14) pos. ~3.1°	C1 · T1 ELO 1538	▲0%
4	Zimbru	11 (8–14) pos. ~3.3°	C1 · T1 ELO 1492	▲1%
5	Politehnica UTM	10 (7–13) pos. ~4.4°	C1 · T1 ELO 1521	·
6	Milsami Orhei	7 (5–11) pos. ~6.2°	C1 · T1 ELO 1499	·
7	CSF Bălți	6 (4–10) pos. ~7.1°	C1 · T1 ELO 1531	·
8	Sireți	5 (2–8) pos. ~7.2°	C1 · T1 ELO 1458	·

% = probability of reaching that zone or better. Each sparkline shows the trend of the most relevant probability for each team over the last 12 daily simulations.

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Frequently Asked Questions

What predictions are available for Super Liga?

For Super Liga, ForzaPitch provides 1X2 win probabilities, expected goals (xG), Over 1.5 and Over 2.5 signals and season projections for title, European qualification and relegation per team.

How accurate are predictions for Super Liga?

Accuracy for Super Liga is tracked match by match and shown on this page. The model is calibrated specifically for Super Liga using per-league historical data.

How are Super Liga season projections calculated?

Season projections use 10,000 Monte Carlo simulations of the remaining fixtures, sampling from match probability distributions to estimate title, Champions League, Europa League and relegation probabilities per team.