AC Milan vs Parma Statistics & Analysis

Feb 22, 2026 - 17:00

0 2.11

1 0.81

xG Accuracy: 53%

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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

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Bumalik sa Estadistika

#	KOPONAN	MP	W	D	L	PTS
1	Inter	37	27	5	5	86
2	Napoli	37	22	7	8	73
3	AC Milan	37	20	10	7	70
4	AS Roma	37	22	4	11	70
5	Como	37	19	11	7	68
6	Juventus	37	19	11	7	68
7	Atalanta	37	15	13	9	58
8	Bologna	37	16	7	14	55
9	Lazio	37	13	12	12	51
10	Udinese	37	14	8	15	50
11	Sassuolo	37	14	7	16	49
12	Torino	37	12	8	17	44
13	Parma	37	10	12	15	42
14	Genoa	37	10	11	16	41
15	Fiorentina	37	9	14	14	41
16	Cagliari	37	10	10	17	40
17	Lecce	37	9	8	20	35
18	Cremonese	37	8	10	19	34
19	Hellas Verona	37	3	12	22	21
20	Pisa	37	2	12	23	18

#	KOPONAN	MP	GS	GC	+/-	PTS
1	Inter	37	86	32	+54	86
2	Como	37	61	28	+33	68
3	Juventus	37	59	32	+27	68
4	AS Roma	37	57	31	+26	70
5	Napoli	37	57	36	+21	73
6	AC Milan	37	52	33	+19	70
7	Atalanta	37	50	35	+15	58
8	Bologna	37	46	43	+3	55
9	Sassuolo	37	46	49	-3	49
10	Udinese	37	45	47	-2	50
11	Torino	37	42	61	-19	44
12	Genoa	37	41	50	-9	41
13	Fiorentina	37	40	49	-9	41
14	Lazio	37	39	39	0	51
15	Cagliari	37	38	52	-14	40
16	Cremonese	37	31	53	-22	34
17	Parma	37	27	46	-19	42
18	Lecce	37	27	50	-23	35
19	Hellas Verona	37	25	59	-34	21
20	Pisa	37	25	69	-44	18

#	KOPONAN	MP	xG	xGC	+/-	PTS
1	Inter	37	69.7	33.4	+36.3	86
2	Juventus	37	63.6	31.2	+32.4	68
3	Como	37	59.9	32.7	+27.2	68
4	AC Milan	37	57.9	40.5	+17.4	70
5	Atalanta	37	55.9	41.4	+14.5	58
6	AS Roma	37	52.1	38.3	+13.8	70
7	Napoli	37	47.9	36.2	+11.7	73
8	Fiorentina	37	48.9	46.1	+2.8	41
9	Bologna	37	42.6	44.0	-1.4	55
10	Lazio	37	39.8	42.0	-2.2	51
11	Genoa	37	44.3	47.0	-2.7	41
12	Torino	37	44.0	50.7	-6.7	44
13	Udinese	37	41.5	50.4	-8.9	50
14	Hellas Verona	37	34.5	45.3	-10.8	21
15	Sassuolo	37	41.7	54.1	-12.4	49
16	Cagliari	37	34.1	51.6	-17.5	40
17	Pisa	37	38.1	57.8	-19.7	18
18	Cremonese	37	34.0	55.4	-21.4	34
19	Parma	37	31.0	55.6	-24.6	42
20	Lecce	37	29.1	56.6	-27.5	35