Spain2025/26 season

La Liga Table

Live standings refreshed hourly. The xPtscolumn shows the model's expected points based on goal-scoring rates; the Δ column is actual minus expected — positive means over-performance, negative means under-performance.

Fixtures Finish-position probabilities Top scorer race xPts methodology

#	Team	P	W	D	L	GF	GA	GD	Pts	xPts	Δ	Form
1	Barcelona	37	31	1	5	94	33	+61	94	87.0	+7.0	WWWLW
2	Real Madrid	37	26	5	6	73	33	+40	83	77.3	+5.7	DWLWW
3	Villarreal	37	21	6	10	67	45	+22	69	65.5	+3.5	WWDLL
4	Atletico Madrid	37	21	6	10	61	39	+22	69	66.0	+3.0	WWLWW
5	Real Betis	37	14	15	8	57	47	+10	57	57.6	-0.7	DWDWL
6	Celta Vigo	37	13	12	12	52	48	+4	51	53.5	-2.5	LWWLD
7	Getafe	37	14	6	17	31	38	-7	48	43.9	+4.1	LLDWL
8	Rayo Vallecano	37	11	14	12	39	43	-4	47	47.1	-0.1	DWDDW
9	Valencia	37	12	10	15	43	54	-11	46	43.0	+3.0	WLWDW
10	Real Sociedad	37	11	12	14	58	60	-2	45	49.9	-4.9	DLDDL
11	Espanyol	37	12	9	16	42	54	-12	45	42.3	+2.7	DLLWW
12	Athletic Club	37	13	6	18	41	54	-13	45	41.5	+3.5	LWLLD
13	Sevilla	37	12	7	18	46	59	-13	43	42.2	+0.8	LWWWL
14	Alaves	37	11	10	16	43	54	-11	43	43.0	-0.0	WLDWW
15	Levante	37	11	9	17	46	59	-13	42	42.2	-0.2	DLWWW
16	Osasuna	37	11	9	17	44	49	-5	42	47.0	-5.0	WLLLL
17	Elche	37	10	12	15	48	56	-8	42	45.4	-3.4	WLDLW
18	Girona	37	9	13	15	38	54	-16	40	39.3	+0.7	LLDDL
19	Mallorca	37	10	9	18	44	57	-13	39	41.9	-2.9	LWDLL
20	Oviedo	37	6	11	20	26	57	-31	29	28.3	+0.7	LLDLL

How xPoints is computed: for each team we average goals scored and conceded per match across the season, feed those rates into a Poisson model, derive a per-match expected-points value, and multiply by matches played. It's a goals-rate proxy — true shot-xG xPoints would require per-fixture stats aggregation that's outside the API budget right now. The methodology is consistent across every team in the table so the rankings remain meaningful.