All questions

Who is over- or under-performing?

Sergio Camello (Rayo Vallecano) has 7 non-penalty goals from chances worth 2.8: +4.2, the most above in the five leagues in 2026-27. Furthest below: Georges Mikautadze, 1 from 4.1 (−3.1).

It rarely lasts: of 503 players who beat their xG by 3 or more in a season since 2014-15, 55 in 100 beat it again the next season, by +0.5 on average.

League data to Fri 16 Oct · 11footy xG

FreePro adds every player and side, and the download

LeagueAll five leaguesPremier LeagueLa LigaSerie ABundesligaLigue 1 Season2026-27 so far2025-262024-252023-242022-232021-222020-212019-202018-192017-182016-172015-162014-15 Minutes at leastAny2704509001,800 Show

Above or below the chances

988 players · across: non-penalty xG · up: goals above it, down: below

02468−5−2.50+2.5+5 CamelloRaphinhaZabiriNiñoFüllkrugPérezJúniorAntonyGarcíaMikautadze

Non-penalty xG →↑ Goals above the chances

Every player

2026-27 · 270+ minutes · sort by any column

CSV Share view

#	Player	Min	npG	npxG	npG − npxG↓	A	xA	A − xA	Sh
1	Sergio CamelloRayo Vallecano	482	7	2.8	+4.2	1	0.2	+0.8	19
2	RaphinhaBarcelona	577	9	5.1	+3.9	3	2.3	+0.7	25
3	Yassir ZabiriRacing Santander	471	7	3.5	+3.5	0	0.1	−0.1	17
4	Fernando NiñoElche	552	5	2.2	+2.8	0	0.2	−0.2	12
5	Niclas FüllkrugWerder Bremen	402	4	1.4	+2.6	0	0.4	−0.4	13
6	Álex BaenaAtletico Madrid	495	4	1.5	+2.5	2	2.1	−0.1	18
7	Morgan RogersChelsea	530	4	1.6	+2.4	1	2.1	−1.1	17
8	Pierre-Emerick AubameyangDeportivo La Coruna	556	5	2.6	+2.4	2	0.8	+1.2	17
9	Antonio NusaRasenBallsport Leipzig	413	3	0.7	+2.3	3	2.0	+1.0	12
10	Cameron ArcherAuxerre	353	4	1.8	+2.2	0	0.5	−0.5	9
11	João PedroChelsea	434	5	2.8	+2.2	3	0.5	+2.5	13
12	Lucas BoyéAlaves	562	4	1.8	+2.2	0	0.5	−0.5	17
13	Luka SucicReal Sociedad	644	3	0.9	+2.1	0	1.2	−1.2	15
14	Adil BourabaaLe Mans	406	3	0.9	+2.1	2	0.6	+1.4	7
15	Antonio RaimondoFrosinone	581	7	4.9	+2.1	0	0.6	−0.6	24
16	MarianoAlaves	339	3	1.0	+2.0	3	0.6	+2.4	11
17	Milutin OsmajicGenoa	383	3	1.1	+1.9	1	0.7	+0.3	8
18	Roberto FernándezEspanyol	700	6	4.1	+1.9	0	0.4	−0.4	20
19	Adrien RabiotAC Milan	396	3	1.2	+1.8	2	0.2	+1.8	6
20	Mohamed BelloumiHull	429	3	1.2	+1.8	2	0.5	+1.5	15
21	MarquinhosParis Saint Germain	360	3	1.3	+1.7	0	0.1	−0.1	4
22	Lamine YamalBarcelona	682	6	4.3	+1.7	5	4.7	+0.3	44
23	Tyrick MitchellCrystal Palace	520	2	0.3	+1.7	0	0.3	−0.3	6
24	Adam DaghimHoffenheim	429	2	0.3	+1.7	2	1.6	+0.4	6
25	Younes EbnoutalibEintracht Frankfurt	415	5	3.3	+1.7	1	0.5	+0.5	18
26	Jurgen EkkelenkampUdinese	529	3	1.4	+1.6	1	0.3	+0.7	19
27	Erling HaalandManchester City	531	6	4.4	+1.6	0	0.0	0.0	22
28	Nicolas PépéVillarreal	436	2	0.4	+1.6	0	0.8	−0.8	14
29	Antoine SemenyoManchester City	540	2	0.4	+1.6	3	1.9	+1.1	8
30	Yuito SuzukiFreiburg	395	4	2.5	+1.5	0	0.4	−0.4	8
31	Hassane KamaraUdinese	515	2	0.5	+1.5	1	0.3	+0.7	9
32	Pape Alassane GueyeVillarreal	625	2	0.5	+1.5	0	0.4	−0.4	10
33	Bryan MbeumoManchester United	540	3	1.5	+1.5	0	1.3	−1.3	21
34	Tiago SantosLille	471	2	0.5	+1.5	0	0.9	−0.9	9
35	Fermín LópezBarcelona	479	4	2.6	+1.4	2	1.6	+0.4	13
36	Maximilian EggesteinFreiburg	450	3	1.6	+1.4	0	0.2	−0.2	11
37	Gustavo VarelaMonza	431	3	1.6	+1.4	0	0.5	−0.5	12
38	Marcus TavernierBournemouth	509	3	1.6	+1.4	0	1.1	−1.1	13
39	Lassana CoulibalyLecce	540	2	0.6	+1.4	1	0.3	+0.7	9
40	Davide FrattesiLazio	448	3	1.6	+1.4	0	1.2	−1.2	10
41	Vasilije AdzicSassuolo	293	3	1.6	+1.4	1	0.7	+0.3	12
42	Mathis CherkiManchester City	403	4	2.6	+1.4	2	1.9	+0.1	14
43	Jonathan BurkardtEintracht Frankfurt	506	3	1.7	+1.3	1	1.3	−0.3	15
44	Ander BarrenetxeaReal Sociedad	411	2	0.7	+1.3	1	0.4	+0.6	9
45	Marco GrüllWerder Bremen	446	2	0.7	+1.3	4	1.4	+2.5	11
46	Assane DiaoComo	431	2	0.7	+1.3	1	1.5	−0.5	10
47	Abdessamad EzzalzouliReal Betis	335	2	0.7	+1.3	0	0.9	−0.9	8
48	Kouadio KoneRoma	419	2	0.7	+1.3	0	0.7	−0.7	7
49	Robin FellhauerAugsburg	398	3	1.7	+1.3	0	0.5	−0.5	9
50	Mateo PellegrinoFiorentina	379	2	0.7	+1.3	0	0.5	−0.5	6

Showing 50 of 988Show 50 more

Penalties are left out of both sides of the comparison: npG − npxG says how much better (or worse) than an average finisher a player did with the chances he had. Over one season it is mostly noise (from one season to the next, the correlation is 0.07 over 11,750 pairs of seasons with 900+ minutes); the chances themselves (npxG) repeat much better. A − xA says more about the team-mates who finished his passes than about the passer. How 11footy xG is made

Related questions

Who are the best finishers, creators and shooters by role?Every player, per 90, by roleWho is in form right now?The last five matches against the seasonWhere was Vesta right, and where wrong?Every match since 2017-18