⚡ G-SCORE — Scouting Dashboard

#	Player	Profil	G-SCORE ↓	G	xG	Sh	Ass	xA	KP	🛡️ +	🔄 +	Rtg	T10	R10	Age	Next
1	Erling Haaland Manchester City	⚽	64	6	28.8	125	8	5.5	25	—	—	7.9	—	—	25	🏠 AEK Athens 1.2 xGA/m
2	Kiernan Dewsbury-Hall Everton	⚖️	61	2	4.3	39	4	6.6	36	—	—	7.8	—	—	28	🏠 Newcastle 1.51 xGA/m
3	Morgan Rogers Chelsea	⚖️	60	4	7.2	84	6	7.5	48	—	—	7.9	—	—	24	✈️ Liverpool 1.42 xGA/m
4	Antoine Semenyo Manchester City	⚖️	59	2	12.8	83	4	4.1	38	—	—	7.7	—	—	26	🏠 AEK Athens 1.2 xGA/m
5	Bukayo Saka Arsenal	⚖️	58	3	8.7	71	5	8.6	62	—	—	7.9	—	—	24	✈️ Fleetwood Town 1.2 xGA/m
6	Elliot Anderson Manchester City	🎯	58	—	3.4	44	4	4.8	55	—	—	7.8	—	—	24	🏠 AEK Athens 1.2 xGA/m
7	Lamine Yamal Barcelona	⚖️	58	7	14.7	117	11	12.6	73	—	—	8.7	—	—	18	—
8	Álex Baena Atlético Madrid	🎯	58	4	1.8	29	3	6.6	46	—	—	7.5	—	—	25	✈️ Stuttgart 1.57 xGA/m
9	Florian Thauvin Lens	⚖️	57	3	12.1	74	6	9.9	80	—	—	8	—	—	33	✈️ Club Brugge 1.2 xGA/m
10	Marc Guéhi Manchester City	⚖️	56	—	4.7	32	3	2.7	18	—	—	7.7	—	—	26	🏠 AEK Athens 1.2 xGA/m
11	Kevin Schade Brentford	⚖️	56	3	11.8	57	3	4.6	29	—	—	7.5	—	—	25	✈️ Sunderland 1.59 xGA/m
12	Lassine Sinayoko Paris FC	⚽	56	4	13.6	93	4	5	40	—	—	7.7	—	—	27	🏠 Stade Rennais 1.2 xGA/m
13	Giuliano Simeone Atlético Madrid	⚖️	55	2	6.1	36	6	5.5	29	—	—	—	—	—	24	✈️ Stuttgart 1.57 xGA/m
14	Declan Rice Arsenal	🎯	53	—	3.7	40	5	8.2	63	—	—	7.7	—	—	26	✈️ Fleetwood Town 1.2 xGA/m
15	Marcos Llorente Atlético Madrid	🎯	53	—	2.2	18	4	4.2	20	—	—	7.3	—	—	31	✈️ Stuttgart 1.57 xGA/m
16	James Tarkowski Everton	🎯	52	—	2.9	20	3	2.1	18	—	—	7.8	—	—	34	🏠 Newcastle 1.51 xGA/m
17	Cole Palmer Chelsea	⚽	52	2	10.3	64	1	2.1	24	—	—	7.6	—	—	24	✈️ Liverpool 1.42 xGA/m
18	Carlos Soler Real Sociedad	🎯	52	—	3.3	35	3	5	46	—	—	7.4	—	—	29	✈️ Lillestrom 1.14 xGA/m
19	Bruno Fernandes Manchester United	🎯	51	3	11.9	85	21	17.8	137	—	—	7.6	—	—	32	—
20	Harvey Barnes Newcastle United	⚽	51	—	8.1	58	1	3.1	23	—	—	7.4	—	—	29	✈️ Everton 1.58 xGA/m
21	Pierre Lees-Melou Paris FC	⚖️	51	—	1.6	31	3	2.9	19	—	—	7.5	—	—	33	🏠 Stade Rennais 1.2 xGA/m
22	Amine Gouiri Marseille	⚖️	50	4	7.2	38	3	4	33	—	—	7.4	—	—	26	✈️ Sturm Graz 1.2 xGA/m
23	Vitaly Janelt Brentford	🎯	49	2	0.8	12	4	3.8	21	—	—	7.7	—	—	28	✈️ Sunderland 1.59 xGA/m
24	Thierno Barry Everton	⚽	49	3	9.2	38	—	1	12	—	—	—	—	—	26	🏠 Newcastle 1.51 xGA/m
25	Lewis Hall Newcastle United	⚖️	48	—	1.3	25	1	2.5	25	—	—	7.4	—	—	21	✈️ Everton 1.58 xGA/m
26	Enzo Le Fée Sunderland	🎯	48	—	5.3	36	6	7.6	53	—	—	—	—	—	26	✈️ Lech Poznan 1.2 xGA/m
27	Raphinha Barcelona	⚽	48	12	11.1	65	3	5.9	40	—	—	9	—	—	28	—
28	Lucas Boyé Deportivo Alavés	⚽	48	5	11.1	63	1	2.7	28	—	—	—	—	—	30	✈️ Celta 1.2 xGA/m
29	Adam Wharton Crystal Palace	🎯	47	—	1.2	32	5	6.6	44	—	—	—	—	—	21	✈️ Besiktas 1.2 xGA/m
30	Oihan Sancet Athletic Club	⚽	47	—	7.1	48	—	1.5	27	—	—	—	—	—	26	✈️ Valencia 1.46 xGA/m

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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.