⚡ G-SCORE — Scouting Dashboard

#	Player	Profil	G-SCORE ↓	G	xG	Sh	Ass	xA	KP	🛡️ +	🔄 +	Rtg	T10	R10	Age	Next
1	Lamine Yamal Barcelona	🏃	70	16	14.7	117	11	12.6	73	—	133	8.3	—	—	18	—
2	Michael Olise Bayern München	⚖️	68	15	11.6	102	19	17	79	—	54	8.1	—	—	23	—
3	Harry Kane Bayern München	⚽	65	36	29.6	119	5	7.4	40	—	29	8.1	—	—	32	—
4	Erling Haaland Manchester City	⚽	63	27	28.8	125	8	5.5	25	—	13	7.7	—	—	25	—
5	Bruno Fernandes Manchester United	🎯	61	9	11.9	85	21	17.8	137	—	15	8	—	—	32	—
6	Luis Díaz Bayern München	⚖️	61	15	14.9	88	14	10.1	65	—	58	7.8	—	—	—	—
7	Kylian Mbappé Real Madrid	⚖️	59	25	23.9	—	—	6.2	—	—	68	8	—	—	26	—
8	Federico Dimarco Internazionale	🎯	58	7	7.3	65	16	15.9	95	—	6	7.7	—	—	29	—
9	Yan Diomande RB Leipzig	🏃	58	12	8	53	8	10.1	57	—	100	7.6	—	—	19	—
10	Fermín López Barcelona	⚖️	57	6	7.5	68	9	7.7	34	—	35	7.3	—	—	23	—
11	Deniz Undav VfB Stuttgart	⚽	57	19	19.1	124	6	5.6	38	—	6	7.5	—	—	30	—
12	Mason Greenwood Marseille	⚽	56	16	14.3	116	7	7.6	56	—	46	7.6	—	—	25	—
13	Lautaro Martínez Internazionale	⚽	56	17	17.1	92	6	6.3	37	—	18	7.5	—	—	29	—
14	Nico Paz Como	⚖️	55	12	8.9	121	6	7	51	—	60	7.7	—	—	21	—
15	Estéban Lepaul Rennes	⚽	54	21	15.7	87	5	3.4	23	—	8	7.3	—	—	26	—
16	Vinícius Júnior Real Madrid	⚖️	54	16	14.4	100	5	7.2	69	—	75	7.7	—	—	26	—
17	Kenan Yildiz Juventus	⚖️	54	10	8.6	97	6	10.8	76	—	70	7.5	—	—	21	—
18	Florian Thauvin Lens	⚖️	53	11	12.1	74	6	9.9	80	—	44	7.4	—	—	33	—
19	Pablo Pagis Lorient	⚖️	53	10	7.8	59	5	4.8	43	—	19	7.3	—	—	24	—
20	Bradley Barcola Paris Saint-Germain	⚽	53	11	11.7	66	1	4.8	38	—	29	7.4	—	—	24	—
21	Raphinha Barcelona	⚽	53	13	11.1	65	3	5.9	40	—	21	7.8	—	—	28	—
22	Christoph Baumgartner RB Leipzig	⚽	53	13	18	81	8	4.3	37	—	—	7.4	—	—	27	—
23	Antoine Semenyo Manchester City	⚽	52	17	12.8	83	4	4.1	38	—	43	7.3	—	—	26	—
24	Joaquín Panichelli Strasbourg	⚽	52	16	14.7	58	1	3	21	—	11	7.3	—	—	24	—
25	Abdessamad Ezzalzouli Real Betis	⚽	52	10	10.3	73	8	6.2	32	—	—	7.5	—	—	25	—
26	Patrik Schick Bayer 04 Leverkusen	⚽	52	16	19.4	72	3	3.2	14	—	6	7.3	—	—	30	—
27	Bukayo Saka Arsenal	⚖️	51	7	8.7	71	5	8.6	62	—	49	7.5	—	—	24	—
28	Ousmane Dembélé Paris Saint-Germain	⚖️	51	10	6.6	45	7	5.2	41	—	18	7.4	—	—	28	—
29	Marcus Thuram Internazionale	⚽	51	13	11.9	74	6	4.5	29	—	17	7.3	—	—	29	—
30	João Pedro Chelsea	⚽	50	15	15.7	73	5	4	29	—	28	7.2	—	—	25	—

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How does the G-SCORE work?

The G-SCORE is a contextual performance index (0-99) calculated for each player. It combines statistical base (xG, xA, FotMob rating, regularity — 60%), next match context (opponent xGA, PPDA, home/away — 25%) and momentum (recent form, age curve — 15%). It's not an exact prediction but an indicator to identify in-form players facing favorable opponents.