Football Referees

Rankings and statistics for 17,851 referees across 436,780 matches. Stat rankings require a minimum of 20 matches officiated.

17,851

Referees

436,780

Matches tracked

1.27

Avg yellow / match

2.66

Avg goals / match

Rankings

Most Active

Referees who have officiated the most matches in our database.

1	G. Kikacheishvili	359 Matches
2	I. Kvirikashvili	354 Matches
3	K. Tohver	327 Matches
4	B. Ninua	313 Matches
5	G. Kruashvili	308 Matches
6	J. Khorava	294 Matches
7	S. Martínez	280 Matches
8	Pablo González	274 Matches
9	J. Frischer	269 Matches
10	P. Giménez	266 Matches

Strictest (Yellow)

Highest average yellow cards issued per match (min. 20 matches).

1	Heider CastroColombia	7.23 Y/M
2	David Nicolas Rodriguez MeloColombia	7.19 Y/M
3	Nicolas Gallo BarraganColombia	6.67 Y/M
4	Ricardo Andres Garcia BecerraColombia	6.62 Y/M
5	Jorge Andres Guzman BonillaColombia	6.56 Y/M
6	Carlos Mario Herrera BernalColombia	6.50 Y/M
7	Juan Cruz Robledo	6.28 Y/M
8	Jhon Alexander Ospina LondonoColombia	6.19 Y/M
9	Jhon Alexander Hinestroza RomanaColombia	6.18 Y/M
10	Gustavo MurilloColombia	6.11 Y/M

Most Red Cards

Highest average red cards per match (min. 20 matches).

1	Hernan HerasUruguay	0.68 R/M
2	César Ceballo	0.65 R/M
3	Alex Gomes StefanoBrazil	0.62 R/M
4	Juan Cruz Robledo	0.60 R/M
5	Marcos Iván Recalde	0.57 R/M
6	Diego Leon Escalante GuiterrezColombia	0.56 R/M
7	Bruno Miguel Duarte PaixaoPortugal	0.55 R/M
8	Carlos Paul Benitez Achar	0.55 R/M
9	Sebastián Bresba	0.55 R/M
10	Bastein Dechepy	0.52 R/M

Most Lenient

Lowest average yellow cards per match (min. 20 matches).

1	A. A'Qashah	0.00 Y/M
2	A. Aarnink	0.00 Y/M
3	A. Altunbakır	0.00 Y/M
4	A. Aluszyk	0.00 Y/M
5	A. Amdursky	0.00 Y/M
6	A. Ancora	0.00 Y/M
7	A. Arab	0.00 Y/M
8	A. Arab Baraghi	0.00 Y/M
9	A. Arifin	0.00 Y/M
10	A. Asymov	0.00 Y/M

Most Goals

Highest average total goals in matches they officiate (min. 20 matches).

1	M. Fuad	4.55 G/M
2	J. Jäschke	4.48 G/M
3	D. Jankovic	4.41 G/M
4	A. Verolino	4.39 G/M
5	Z. Jurcevic	4.34 G/M
6	M. Buhari	4.29 G/M
7	S. Dündar	4.29 G/M
8	J. Foo	4.22 G/M
9	J. Laaksonen	4.22 G/M
10	Nawaf Alzeyouidi	4.22 G/M

Most Penalties

Highest average penalties awarded per match (min. 20 matches).

1	G. Rocchi	0.76 Pen/M
2	Heider CastroColombia	0.71 Pen/M
3	Bastien DechepyFrance	0.57 Pen/M
4	Aydin UsluDenmark	0.52 Pen/M
5	César Ceballo	0.50 Pen/M
6	N. Shakespear	0.50 Pen/M
7	Leandro Pedro VuadenBrazil	0.47 Pen/M
8	P. Giacomelli	0.46 Pen/M
9	C. Pinilla	0.45 Pen/M
10	Jhon Alexander Hinestroza RomanaColombia	0.45 Pen/M

Home Bias

Highest home team win percentage in matches they officiate (min. 20 matches).

1	Santiago Quijada	81.0% home wins
2	J. Cvetković	76.9% home wins
3	W. Laplagne	76.2% home wins
4	Eduardo Pérez	75.8% home wins
5	J. Jordán	75.0% home wins
6	M. Seyoud	75.0% home wins
7	M. Urushadze	72.3% home wins
8	N. Barro	72.2% home wins
9	A. Balkan	72.0% home wins
10	A. Gil	72.0% home wins

Away Bias

Highest away team win percentage in matches they officiate (min. 20 matches).

1	V. Besiri	65.5% away wins
2	Matthew CorlettEngland	65.2% away wins
3	G. Wiederrecht	65.0% away wins
4	D. Zhakhovskiy	64.5% away wins
5	K. Graham	60.0% away wins
6	S. Sampl	59.5% away wins
7	Florian LechnerGermany	59.1% away wins
8	R. Castañeda	58.3% away wins
9	M. Beltrano	57.8% away wins
10	D. Nõmm	57.1% away wins

Draw Magnet

Highest draw percentage in matches they officiate (min. 20 matches).

1	Mohamed El Atabani	60.0% draws
2	Micke PalominoPeru	58.3% draws
3	Said Hamza	58.3% draws
4	Jorge Andres Guzman BonillaColombia	51.9% draws
5	Francisco Ortiz	51.7% draws
6	A. Voergaard	51.4% draws
7	Riccardo RosItaly	51.0% draws
8	Adeli Mara Monteiro	50.0% draws
9	Alberto Lou	50.0% draws
10	Alejandro Clemente	50.0% draws

All Referees

4501–5000 of 17,851

#	Referee	Nationality	M	/M	/M	G/M	Pen/M	Home Win %	Away Win %	D%
4501	Christof Gunsch	Germany	33	0.0	0.00	2.3	0.00	42%	27%	30%
4502	D. Akgül	—	33	0.0	0.00	2.5	0.00	52%	27%	21%
4503	D. Mateus	—	33	0.0	0.00	3.6	0.00	42%	46%	12%
4504	Daniel Piñuel	—	33	0.0	0.00	2.3	0.00	33%	30%	36%
4505	Daniele Martinelli	Italy	33	0.1	0.03	2.4	0.00	42%	21%	36%
4506	E. Efendi	—	33	0.4	0.03	2.6	0.12	46%	24%	30%
4507	E. Egorov	—	33	0.9	0.00	2.4	0.06	42%	27%	30%
4508	Edgar Baptista	—	33	0.0	0.03	2.7	0.06	36%	33%	30%
4509	Eduardo Pérez	—	33	0.0	0.00	2.4	0.00	76%	9%	15%
4510	Erik Vegas	—	33	0.0	0.00	2.6	0.00	30%	36%	33%
4511	F. Jiménez	—	33	1.1	0.06	2.4	0.09	42%	30%	27%
4512	F. Lisiak	—	33	0.0	0.00	3.8	0.00	46%	36%	18%
4513	F. Valero	—	33	0.0	0.00	2.6	0.00	46%	15%	39%
4514	Fabio Augusto Santos Sá Junior	—	33	1.7	0.03	2.4	0.06	42%	24%	33%
4515	G. Chekhovskiy	—	33	0.6	0.03	2.5	0.00	39%	33%	27%
4516	G. Piskov	—	33	0.2	0.03	2.4	0.00	55%	21%	24%
4517	G. Ross	—	33	1.0	0.09	2.9	0.06	42%	39%	18%
4518	George Radulescu	Romania	33	0.0	0.00	2.4	0.00	49%	24%	27%
4519	Gustavo Tejera	Uruguay	33	3.3	0.12	2.1	0.18	52%	21%	27%
4520	H. Nervik	—	33	0.0	0.00	2.9	0.00	61%	21%	18%
4521	H. Qovanaj	—	33	0.5	0.00	2.9	0.06	58%	24%	18%
4522	Hwang Dae-Ju	—	33	0.0	0.09	2.6	0.12	33%	30%	36%
4523	I. Peşu	—	33	0.5	0.00	2.6	0.06	46%	24%	30%
4524	J. Beneš	—	33	1.7	0.18	2.6	0.12	64%	9%	27%
4525	J. Bergmann	—	33	0.0	0.00	3.5	0.00	52%	39%	9%
4526	J. Keziks	—	33	0.6	0.00	3.0	0.03	46%	39%	15%
4527	J. Kontinen	—	33	0.4	0.03	3.4	0.12	46%	42%	12%
4528	Jari Jarvinen	Finland	33	0.0	0.00	2.0	0.00	33%	42%	24%
4529	Javier Guillán	—	33	0.0	0.00	2.3	0.00	49%	30%	21%
4530	Joao Antonio Ferreira Goncalves	Portugal	33	2.8	0.42	2.6	0.21	33%	46%	21%
4531	João Ennio Sobral	—	33	0.0	0.00	2.3	0.00	52%	27%	21%
4532	Jonay Ríos	—	33	0.0	0.00	1.9	0.00	33%	36%	30%
4533	José Palomares	—	33	0.0	0.00	2.7	0.00	27%	33%	39%
4534	Juan Casaucau	—	33	0.0	0.00	2.5	0.00	46%	33%	21%
4535	K. Aluszyk	—	33	0.0	0.00	3.3	0.00	58%	27%	15%
4536	K. Revazashvili	—	33	1.6	0.15	3.1	0.12	33%	33%	33%
4537	K. Rosin	—	33	0.0	0.00	3.5	0.00	55%	33%	12%
4538	K. Saisombat	—	33	0.0	0.00	2.2	0.00	33%	18%	49%
4539	K. Yagci	—	33	0.0	0.00	4.0	0.00	58%	30%	12%
4540	Kevin van Damme	Belgium	33	4.1	0.21	2.8	0.24	39%	30%	30%
4541	L. Borisavljević	—	33	0.0	0.00	2.0	0.00	49%	24%	27%
4542	L. Bultynck	—	33	0.5	0.09	3.2	0.00	52%	36%	12%
4543	L. Griffiths	—	33	0.0	0.00	2.5	0.00	42%	33%	24%
4544	L. Salas	—	33	1.1	0.03	2.6	0.00	39%	33%	27%
4545	L. Telbukh	—	33	0.0	0.00	2.8	0.00	52%	30%	18%
4546	Luis Cascón	—	33	0.0	0.00	2.5	0.00	49%	24%	27%
4547	Luis Lois	—	33	0.0	0.00	2.7	0.00	46%	27%	27%
4548	Luiz Alexandre Fernandes	—	33	0.4	0.00	2.7	0.00	42%	27%	30%
4549	M. Cheremnykh	—	33	0.5	0.03	2.3	0.03	58%	27%	15%
4550	M. Derlin	—	33	0.0	0.00	3.7	0.00	55%	42%	3%
4551	M. Djordjić	—	33	0.0	0.00	3.0	0.00	58%	27%	15%
4552	M. Majstrović	—	33	0.0	0.00	2.4	0.00	64%	21%	15%
4553	M. Szrek	—	33	0.0	0.00	3.2	0.00	55%	24%	21%
4554	M. Vigile	—	33	0.0	0.00	2.2	0.00	30%	39%	30%
4555	M. Zlotek	—	33	0.0	0.00	2.8	0.00	39%	33%	27%
4556	Matt Conger	New Zealand	33	0.0	0.00	3.2	0.00	61%	21%	18%
4557	Mohammed Alharbi	—	33	2.8	0.12	3.3	0.15	42%	42%	15%
4558	O. Dhellemmes	—	33	0.0	0.00	2.8	0.06	46%	21%	33%
4559	O. Kogut	—	33	0.0	0.00	2.5	0.00	46%	27%	27%
4560	O. Noonan	—	33	0.0	0.00	3.0	0.00	42%	42%	15%
4561	Octavio Herranz	—	33	0.0	0.00	2.4	0.00	39%	30%	30%
4562	P. Gil	—	33	0.0	0.00	2.5	0.00	55%	15%	30%
4563	P. Koscielnicki	—	33	0.0	0.00	3.2	0.00	42%	27%	30%
4564	Pedro Miguel Goncalves Fernandes	—	33	0.0	0.00	3.6	0.00	70%	15%	15%
4565	R. Atkin	—	33	0.0	0.00	2.9	0.00	46%	39%	15%
4566	Rafael Jiménez	—	33	0.0	0.00	2.3	0.00	49%	27%	24%
4567	Renan Novaes Insabralde	—	33	0.3	0.06	2.4	0.03	36%	24%	39%
4568	Renato Pinheiro	—	33	0.1	0.00	2.1	0.00	49%	21%	30%
4569	S. Jinnigorn	—	33	0.1	0.00	2.8	0.03	42%	33%	24%
4570	S. Logeswaran	—	33	0.0	0.00	2.6	0.00	46%	33%	21%
4571	T. Breen	—	33	0.0	0.00	2.7	0.00	42%	36%	21%
4572	T. Horváth	—	33	0.0	0.00	2.2	0.00	42%	30%	27%
4573	T. Tomomasa	—	33	0.0	0.00	2.3	0.00	27%	33%	39%
4574	Y. Hamrang	—	33	0.0	0.00	2.0	0.00	46%	18%	36%
4575	Y. Sierra	—	33	0.4	0.15	2.1	0.00	67%	15%	18%
4576	Y. Zambrano	—	33	0.3	0.03	2.5	0.03	55%	33%	12%
4577	Z. Široki	—	33	0.0	0.00	3.1	0.00	52%	33%	15%
4578	A. Bouzalmat	—	32	0.0	0.00	2.8	0.00	34%	44%	22%
4579	A. Dag	—	32	0.0	0.00	3.1	0.00	47%	41%	13%
4580	A. Delaye	—	32	0.0	0.00	3.5	0.00	50%	22%	28%
4581	Á. Flores	—	32	0.7	0.06	2.4	0.03	56%	16%	28%
4582	A. Mashala	—	32	0.0	0.00	1.9	0.00	38%	31%	31%
4583	A. Matyunin	—	32	0.0	0.00	2.9	0.00	28%	44%	28%
4584	A. Nasri	—	32	0.0	0.00	2.1	0.00	50%	13%	38%
4585	A. Nukaew	—	32	0.3	0.00	3.4	0.03	28%	28%	44%
4586	A. Saunier	—	32	0.0	0.00	2.9	0.16	34%	41%	25%
4587	A. Shepherd	—	32	0.0	0.00	2.6	0.00	38%	31%	31%
4588	A. Vukadinović	—	32	0.0	0.00	2.3	0.00	34%	34%	31%
4589	Abraham Belloso	—	32	0.0	0.00	2.2	0.00	34%	34%	31%
4590	Aleksei Valerevich Matyunin	Russia	32	0.0	0.00	2.2	0.00	38%	34%	28%
4591	André Marques	—	32	0.0	0.03	2.5	0.06	41%	34%	25%
4592	Antonio Bordoy	—	32	0.0	0.00	2.5	0.00	53%	25%	22%
4593	Antonio Oliver	—	32	0.0	0.00	2.0	0.00	47%	28%	25%
4594	B. González	—	32	0.0	0.00	2.5	0.00	44%	31%	25%
4595	B. Prachumrak	—	32	0.0	0.00	3.0	0.00	53%	22%	25%
4596	Brendan Malone	England	32	0.0	0.00	2.8	0.00	41%	31%	28%
4597	Cristian Selva	—	32	0.0	0.00	2.3	0.00	25%	25%	50%
4598	Cui Yueqiang	—	32	0.3	0.03	3.0	0.03	53%	25%	22%
4599	D. Čolović	—	32	0.0	0.00	2.8	0.00	50%	41%	9%
4600	D. Lowe	—	32	1.2	0.00	2.7	0.09	34%	38%	28%
4601	D. Maloutas	—	32	1.4	0.03	2.7	0.06	59%	19%	22%
4602	D. Olson	—	32	0.0	0.00	3.7	0.00	50%	22%	28%
4603	D. Waegert	—	32	0.0	0.00	3.7	0.00	53%	28%	19%
4604	Daniel Alejandro Hidalgo Blanco	—	32	1.3	0.09	2.5	0.12	59%	25%	16%
4605	Daniel Clemente	—	32	0.0	0.00	2.7	0.00	53%	19%	28%
4606	Daniel Miranda	—	32	0.0	0.00	2.4	0.00	47%	25%	28%
4607	David Fernandez	—	32	0.0	0.00	2.2	0.00	56%	31%	13%
4608	E. Bijl	—	32	0.0	0.00	3.4	0.00	53%	31%	16%
4609	E. Gutiérrez	—	32	0.0	0.16	1.9	0.16	44%	25%	31%
4610	E. Kaya	—	32	0.0	0.00	2.3	0.00	34%	31%	34%
4611	E. Michelet	—	32	0.0	0.00	2.7	0.00	41%	28%	31%
4612	Eder Enrique Vergara Lora	Colombia	32	5.6	0.34	2.3	0.16	41%	31%	28%
4613	Elizabete Esmeralda Cordeiro dos Santos Gomes	—	32	0.7	0.06	3.0	0.06	66%	22%	13%
4614	F. Lahora	—	32	0.0	0.00	2.9	0.00	63%	34%	3%
4615	F. Saadi	—	32	0.0	0.00	3.1	0.03	53%	28%	19%
4616	Francesco Paolo Saia	Italy	32	0.1	0.00	2.8	0.00	56%	28%	16%
4617	G. Chaspierre	—	32	0.0	0.00	2.8	0.00	28%	38%	34%
4618	Guillermo Enrique Guerrero Alcivar	Ecuador	32	3.2	0.19	2.3	0.22	38%	28%	34%
4619	Guillermo Martínez	—	32	0.0	0.00	2.4	0.00	53%	16%	31%
4620	H. Vidoy	—	32	1.3	0.09	3.6	0.12	38%	38%	25%
4621	I. Peksenar	—	32	0.1	0.06	3.0	0.00	41%	47%	13%
4622	Itaru Hirose	Japan	32	0.0	0.00	3.0	0.00	41%	47%	13%
4623	J. Eduardo López	—	32	0.0	0.06	2.3	0.03	34%	31%	34%
4624	J. Esquivel	—	32	0.0	0.00	2.2	0.00	41%	28%	31%
4625	J. Islam	—	32	3.0	0.19	3.2	0.12	47%	28%	25%
4626	J. Maya	—	32	3.1	0.22	2.8	0.12	44%	34%	22%
4627	J. Schnur	—	32	0.0	0.00	3.2	0.00	44%	31%	25%
4628	J. Villa	—	32	1.6	0.22	2.2	0.09	50%	22%	28%
4629	Joanilson Scarcella de Lima	—	32	0.4	0.06	2.9	0.09	34%	25%	41%
4630	Joao Carlos Santos Capela	Portugal	32	4.0	0.50	2.4	0.25	47%	31%	22%
4631	Jorge Garcia	—	32	0.0	0.00	3.3	0.00	34%	38%	28%
4632	Jorge Navarro	—	32	0.0	0.00	2.0	0.00	50%	22%	28%
4633	Jose Bueso	—	32	0.0	0.00	2.3	0.00	44%	25%	31%
4634	Josué Reis de Jesus Júnio	—	32	1.2	0.09	2.8	0.00	44%	25%	31%
4635	Juan Cano	—	32	0.0	0.00	2.2	0.00	28%	31%	41%
4636	Juan Guzman	USA	32	0.0	0.00	2.7	0.00	47%	31%	22%
4637	Juan Lidón	—	32	0.0	0.00	1.8	0.00	47%	16%	38%
4638	K. Nummela	—	32	0.8	0.06	3.0	0.00	41%	34%	25%
4639	K. Ponpasit	—	32	0.2	0.00	2.9	0.00	41%	28%	31%
4640	Kateryna Monzul	Ukraine	32	0.0	0.00	2.3	0.00	47%	25%	28%
4641	Kevin Blom	—	32	2.4	0.19	3.0	0.22	47%	38%	16%
4642	L. Boukeroui	—	32	0.0	0.00	1.9	0.03	38%	16%	47%
4643	L. Kernchen	—	32	0.0	0.00	3.8	0.00	50%	38%	13%
4644	L. van der Helm	—	32	0.0	0.00	3.3	0.00	56%	28%	16%
4645	L. Wolff	—	32	0.0	0.00	3.5	0.00	38%	44%	19%
4646	Liang Songshang	—	32	0.9	0.06	2.4	0.09	53%	16%	31%
4647	Luis Marchante	—	32	0.0	0.00	2.0	0.00	50%	28%	22%
4648	Luis Morona	—	32	0.0	0.00	2.1	0.00	41%	38%	22%
4649	M. Arace	—	32	0.0	0.00	2.4	0.00	38%	34%	28%
4650	M. Hassan	—	32	1.2	0.03	2.6	0.03	47%	22%	31%
4651	M. Hoegen	—	32	0.0	0.00	3.2	0.00	50%	38%	13%
4652	M. Nader	—	32	0.0	0.00	2.0	0.00	38%	38%	25%
4653	M. Quentin	—	32	0.0	0.00	2.8	0.00	59%	28%	13%
4654	M. Sarrieau	—	32	0.0	0.00	3.3	0.34	44%	38%	19%
4655	M.Tjelle	—	32	0.0	0.00	3.6	0.00	38%	31%	31%
4656	Ma Yunkun	—	32	0.2	0.03	2.4	0.03	31%	34%	34%
4657	Mariano Lopez	—	32	0.0	0.00	2.1	0.00	50%	22%	28%
4658	N. Muengngarm	—	32	0.0	0.00	2.9	0.00	53%	28%	19%
4659	O. Sakhno	—	32	0.0	0.00	2.5	0.00	63%	22%	16%
4660	R. Kenny	—	32	0.2	0.03	2.8	0.00	56%	22%	22%
4661	R. Olsen	—	32	0.2	0.00	4.0	0.00	50%	38%	13%
4662	R. Reid	—	32	4.1	0.16	2.4	0.19	41%	28%	31%
4663	Rodrigo Carvalhaes de Miranda	—	32	0.0	0.00	2.3	0.00	53%	22%	25%
4664	Ruthyanna Camila Medeiros da Silva	—	32	1.2	0.09	2.7	0.00	28%	38%	34%
4665	S. Baiymbet	—	32	0.5	0.00	2.2	0.00	66%	16%	19%
4666	S. Grant	—	32	0.0	0.00	2.4	0.00	53%	22%	25%
4667	S. Mikami	—	32	0.0	0.00	2.5	0.00	38%	34%	28%
4668	S. Silva	—	32	0.8	0.03	2.3	0.09	47%	16%	38%
4669	S. Skyrda	—	32	0.0	0.00	2.3	0.00	50%	22%	28%
4670	Saul Laverni	Argentina	32	0.0	0.00	2.6	0.00	63%	19%	19%
4671	T. Dogterom	—	32	0.0	0.00	3.1	0.00	47%	28%	25%
4672	T. Minier	—	32	0.0	0.00	3.1	0.03	50%	25%	25%
4673	T. Robert	—	32	0.0	0.00	2.9	0.00	34%	34%	31%
4674	T. Schultes	—	32	0.0	0.00	2.8	0.00	47%	28%	25%
4675	T. Zatelman	—	32	0.0	0.00	2.5	0.00	44%	34%	22%
4676	Usaid Jamal	—	32	0.0	0.00	3.1	0.00	53%	38%	9%
4677	V. Lenkovskiy	—	32	0.0	0.00	2.7	0.00	63%	19%	19%
4678	V. Malyar	—	32	0.0	0.00	2.5	0.00	47%	34%	19%
4679	Vinicius Goncalves Dias Araujo	Brazil	32	4.3	0.22	2.3	0.34	38%	34%	28%
4680	W. Krzton	—	32	0.0	0.00	2.4	0.00	41%	44%	16%
4681	Y. Abalı	—	32	0.0	0.00	2.1	0.00	41%	38%	22%
4682	Y. Noda	—	32	0.0	0.00	2.4	0.00	31%	38%	31%
4683	Z. Grbić	—	32	0.0	0.00	2.7	0.00	53%	22%	25%
4684	Z. Jurcevic	—	32	0.0	0.00	4.3	0.00	50%	31%	19%
4685	A. Cortais	—	31	0.0	0.00	2.9	0.00	45%	32%	23%
4686	A. Koshura	—	31	0.0	0.06	2.6	0.00	58%	32%	10%
4687	A. Resuloğlu	—	31	0.0	0.00	2.6	0.00	42%	36%	23%
4688	A. Riskullaev	—	31	0.0	0.00	2.1	0.00	36%	29%	36%
4689	A. Risqullaev	—	31	0.4	0.00	2.0	0.03	23%	39%	39%
4690	A. Soltani	—	31	0.1	0.00	1.7	0.00	42%	23%	36%
4691	Adam Ladeback	Sweden	31	2.8	0.00	3.2	0.32	36%	36%	29%
4692	Adrián Moreno	—	31	0.0	0.00	2.6	0.00	32%	39%	29%
4693	Ahmad Zuhadi Dzulkifli	—	31	0.0	0.00	3.6	0.00	48%	36%	16%
4694	Andre Ricardo Martins	—	31	0.2	0.00	2.0	0.00	39%	23%	39%
4695	Andreas Kollegger	Austria	31	0.0	0.00	3.0	0.00	45%	42%	13%
4696	Angel Caro	—	31	0.0	0.00	2.3	0.00	39%	32%	29%
4697	Antoine Chiaramonti	—	31	0.9	0.00	3.2	0.03	32%	42%	26%
4698	Antonio Moroso Medialdea	—	31	0.0	0.00	3.0	0.00	52%	23%	26%
4699	Aritz Gómez	—	31	0.0	0.00	2.8	0.00	29%	45%	26%
4700	Athanasios Tzilos	Greece	31	1.6	0.10	2.8	0.10	52%	39%	10%
4701	Ayoze Marichal	—	31	0.0	0.00	2.7	0.00	42%	23%	36%
4702	B. Castellanos	—	31	0.0	0.00	2.4	0.00	48%	16%	36%
4703	B. Connolly	—	31	0.0	0.00	2.8	0.00	45%	26%	29%
4704	B. De Clercq	—	31	0.0	0.00	2.8	0.00	45%	42%	13%
4705	B. Iskin	—	31	0.0	0.00	3.5	0.00	36%	45%	19%
4706	B. Soltani	—	31	0.0	0.00	2.1	0.00	55%	16%	29%
4707	B. Strebinger	—	31	0.0	0.00	3.4	0.00	36%	26%	39%
4708	C. Leitner	—	31	0.0	0.00	3.7	0.00	61%	32%	7%
4709	C. May	—	31	0.7	0.10	2.9	0.10	55%	19%	26%
4710	C. Terrazas	—	31	0.5	0.10	3.4	0.03	39%	39%	23%
4711	Candra	—	31	0.0	0.00	3.0	0.00	45%	26%	29%
4712	Carlos Ruiz	—	31	0.0	0.00	2.2	0.00	36%	32%	32%
4713	César Carretero	—	31	0.0	0.00	1.8	0.00	48%	23%	29%
4714	D. Mccarrick	—	31	0.0	0.00	2.8	0.00	39%	39%	23%
4715	D. Victorino	—	31	0.0	0.00	2.4	0.00	58%	29%	13%
4716	D. Xhafa	—	31	0.0	0.00	2.9	0.00	39%	45%	16%
4717	D. Zhakhovskiy	—	31	0.2	0.00	3.3	0.00	23%	65%	13%
4718	Damian Sylwestrzak	Poland	31	0.6	0.00	2.6	0.03	45%	26%	29%
4719	Davi de Oliveira Lacerda	Brazil	31	4.3	0.13	2.3	0.19	48%	19%	32%
4720	David Martínez	—	31	0.0	0.00	2.8	0.00	45%	26%	29%
4721	David Nicolas Rodriguez Melo	Colombia	31	7.2	0.32	1.8	0.26	55%	16%	29%
4722	Diego Gay	—	31	0.0	0.00	2.3	0.00	45%	36%	19%
4723	E. Antoniou	—	31	0.6	0.00	2.7	0.06	45%	29%	26%
4724	E. Barbara	—	31	0.7	0.10	3.3	0.00	36%	39%	26%
4725	E. Gamboa	—	31	0.0	0.00	2.4	0.00	48%	29%	23%
4726	E. Sigurþórsson	—	31	0.0	0.00	3.3	0.00	45%	36%	19%
4727	Enrique Lucia	—	31	0.0	0.00	2.3	0.00	45%	29%	26%
4728	Felipe Roman	—	31	0.0	0.00	2.7	0.00	55%	16%	29%
4729	Francisco Cabedo	—	31	0.0	0.00	2.8	0.00	45%	32%	23%
4730	Francisco Hernandez Maeso	Spain	31	4.2	0.16	2.8	0.39	45%	26%	29%
4731	Fredy Fautrel	France	31	3.0	0.13	2.7	0.06	39%	29%	32%
4732	G. Safi	—	31	0.0	0.00	3.3	0.00	36%	39%	26%
4733	Guan Xing	—	31	3.2	0.32	2.8	0.26	42%	29%	29%
4734	Gustavo Correia	Portugal	31	3.5	0.29	2.0	0.16	29%	32%	39%
4735	H. Bjerkelund	—	31	0.0	0.00	3.5	0.00	36%	39%	26%
4736	H. Jomaa	—	31	0.0	0.10	3.2	0.16	26%	42%	32%
4737	H. Reif	—	31	0.0	0.00	3.3	0.00	55%	32%	13%
4738	H. Sandmark	—	31	1.4	0.03	4.0	0.03	58%	23%	19%
4739	Heider Castro	Colombia	31	7.2	0.45	2.7	0.71	45%	29%	26%
4740	Hugo Soares Dias Figueiredo	—	31	0.4	0.06	2.6	0.10	52%	19%	29%
4741	Ilbon Urizar	—	31	0.0	0.00	2.1	0.00	42%	26%	32%
4742	Iñaki Osta	—	31	0.0	0.00	2.5	0.00	48%	32%	19%
4743	Iván García	—	31	0.0	0.00	2.5	0.00	42%	32%	26%
4744	J. Crofts	—	31	0.0	0.00	2.8	0.00	39%	39%	23%
4745	J. Phonkaew	—	31	0.4	0.03	2.8	0.00	52%	23%	26%
4746	J. Salinas	—	31	0.0	0.00	2.7	0.00	48%	19%	32%
4747	J. Tschirschwitz	—	31	0.0	0.00	3.3	0.00	52%	36%	13%
4748	J. Weinkauf	—	31	0.0	0.00	3.4	0.00	36%	42%	23%
4749	Jaime Campelo	—	31	0.0	0.00	2.6	0.00	32%	36%	32%
4750	Jorge Rubio	—	31	0.0	0.00	2.9	0.00	39%	36%	26%
4751	José Ortiz	—	31	0.0	0.00	2.1	0.00	45%	36%	19%
4752	Jose Sabido	—	31	0.0	0.00	2.1	0.00	45%	23%	32%
4753	Julian Negreiros de Castro	—	31	0.2	0.06	2.0	0.00	45%	19%	36%
4754	Julio Calleja	—	31	0.0	0.00	2.7	0.00	39%	32%	29%
4755	K. Gouider	—	31	0.0	0.00	2.0	0.00	29%	29%	42%
4756	K. Pikunngoen	—	31	0.0	0.00	2.8	0.00	58%	29%	13%
4757	Kim Min-Cheol	—	31	0.0	0.00	2.5	0.13	48%	29%	23%
4758	L. Jungfleisch	—	31	0.0	0.00	3.4	0.00	36%	48%	16%
4759	L. van Leeuwen	—	31	0.0	0.00	3.1	0.00	32%	39%	29%
4760	Lasse Koslowski	Germany	31	0.0	0.00	3.2	0.00	42%	26%	32%
4761	Luis Tejado	—	31	0.0	0.00	2.5	0.00	65%	19%	16%
4762	Luiz Paulo da Silva Aniceto	—	31	0.0	0.06	2.3	0.03	61%	19%	19%
4763	M. Gioumatzidis	—	31	0.0	0.00	2.0	0.00	45%	29%	26%
4764	M. Herrera	—	31	4.4	0.32	2.3	0.32	52%	32%	16%
4765	M. Jahari	—	31	0.0	0.00	4.0	0.00	48%	29%	23%
4766	M. Közcü	—	31	0.0	0.00	1.9	0.00	26%	39%	36%
4767	M. Lykke	—	31	0.1	0.00	3.4	0.00	39%	36%	26%
4768	M. Motan	—	31	0.0	0.00	2.5	0.00	61%	23%	16%
4769	M. Shabanaj	—	31	0.0	0.00	2.9	0.00	42%	42%	16%
4770	Ma Teng	—	31	0.3	0.03	2.6	0.03	42%	23%	36%
4771	Marielson Alves Silva	Brazil	31	4.9	0.32	2.3	0.19	52%	19%	29%
4772	Mark Haywood	England	31	0.0	0.00	2.7	0.00	39%	36%	26%
4773	Miguel Nogueira	Portugal	31	2.3	0.13	2.3	0.19	23%	45%	32%
4774	Mustafa Ogretmenoglu	Turkey	31	0.0	0.00	2.2	0.00	55%	23%	23%
4775	N. Fairuski	—	31	0.3	0.00	2.9	0.00	58%	19%	23%
4776	N. Hänninen	—	31	0.0	0.00	3.0	0.00	36%	45%	19%
4777	O. Hernández	—	31	0.0	0.00	2.8	0.00	36%	32%	32%
4778	O. Robu	—	31	0.0	0.00	2.4	0.00	55%	16%	29%
4779	P. Henshuijs	—	31	0.0	0.00	3.0	0.00	42%	36%	23%
4780	Panfilo Elechiguerra	—	31	0.0	0.00	2.4	0.00	48%	32%	19%
4781	Paul Enrique Delgadillo Haro	Mexico	31	0.0	0.00	2.9	0.00	42%	29%	29%
4782	Paulo Sergio dos Santos	—	31	0.0	0.00	1.8	0.00	36%	29%	36%
4783	Pierre Van Den Hende	—	31	0.0	0.00	3.1	0.00	58%	16%	26%
4784	R. Kalyta	—	31	0.0	0.00	1.8	0.00	36%	23%	42%
4785	R. Ros	—	31	0.3	0.03	2.1	0.03	29%	36%	36%
4786	Rafael Gomes Felix da Silva	—	31	0.0	0.10	2.1	0.06	39%	29%	32%
4787	Roberto Gonzalo	—	31	0.0	0.00	2.6	0.00	29%	42%	29%
4788	Rubén Fernández	—	31	0.0	0.00	2.7	0.00	42%	39%	19%
4789	Rubén Gonzalo	—	31	0.0	0.00	2.9	0.00	55%	39%	7%
4790	S. Arnarsson	—	31	0.9	0.03	3.0	0.00	55%	23%	23%
4791	S. Gurkov	—	31	0.0	0.00	2.5	0.00	65%	19%	16%
4792	S. Kalong	—	31	0.0	0.00	2.8	0.00	39%	45%	16%
4793	S. Sasson	—	31	0.0	0.00	2.0	0.00	45%	16%	39%
4794	Sergio Pérez	—	31	0.0	0.00	2.6	0.00	42%	36%	23%
4795	Shan Dan'ao	—	31	0.3	0.03	2.9	0.00	55%	26%	19%
4796	T. Ewerhardy	—	31	0.0	0.00	3.8	0.00	48%	39%	13%
4797	T. Holsten	—	31	0.0	0.00	3.3	0.00	45%	36%	19%
4798	T. Lucas	—	31	0.0	0.00	3.0	0.00	26%	36%	39%
4799	Usama Sebti	—	31	0.0	0.00	2.5	0.00	48%	26%	26%
4800	V. Arlt	—	31	0.0	0.00	2.5	0.00	29%	45%	26%
4801	V. Djadenko	—	31	0.0	0.00	2.9	0.00	45%	29%	26%
4802	V. Həsənli	—	31	0.0	0.00	2.3	0.00	36%	36%	29%
4803	Y. Boogaerts	—	31	0.0	0.00	2.9	0.00	29%	39%	32%
4804	Y. Verslycken	—	31	0.0	0.00	2.6	0.00	36%	32%	32%
4805	A. Dragatis	—	30	0.0	0.00	2.0	0.00	53%	20%	27%
4806	A. Hasanovic	—	30	0.0	0.00	3.2	0.00	40%	27%	33%
4807	A. Khonwai	—	30	0.2	0.00	2.8	0.00	47%	23%	30%
4808	A. Kumar	—	30	0.8	0.03	2.4	0.00	30%	37%	33%
4809	A. Kuzmin	—	30	0.0	0.00	2.2	0.00	43%	37%	20%
4810	A. Megas	—	30	0.0	0.00	2.5	0.00	37%	43%	20%
4811	A. Parjikia	—	30	1.8	0.13	3.0	0.03	47%	27%	27%
4812	A. Radvanyi	—	30	0.0	0.00	2.7	0.00	37%	33%	30%
4813	A. Safaryan	—	30	0.0	0.00	2.6	0.00	50%	33%	17%
4814	A. Soors	—	30	0.0	0.00	2.6	0.00	40%	50%	10%
4815	Abdulkadir Bitigen	Turkey	30	0.0	0.00	2.9	0.00	50%	37%	13%
4816	Adam Kersey	Australia	30	2.2	0.13	3.3	0.17	43%	37%	20%
4817	Alberto Martin	—	30	0.0	0.00	2.4	0.00	43%	33%	23%
4818	Andre Filipe Domingues Narciso	Portugal	30	3.4	0.03	2.5	0.20	37%	40%	23%
4819	B. Uhrig	—	30	0.0	0.00	3.6	0.00	53%	27%	20%
4820	Borja Guijarro	—	30	0.0	0.00	2.0	0.00	37%	37%	27%
4821	C. Heiner	—	30	0.0	0.00	2.8	0.00	40%	30%	30%
4822	C. Inboonsong	—	30	0.0	0.00	3.0	0.07	33%	40%	27%
4823	C. Philipp	—	30	0.0	0.00	3.0	0.00	23%	43%	33%
4824	C. Windels	—	30	0.0	0.00	2.9	0.00	43%	33%	23%
4825	Carlos Sandoval	—	30	0.0	0.00	2.2	0.00	37%	40%	23%
4826	Choi Ki-Chang	—	30	0.0	0.03	2.2	0.03	47%	23%	30%
4827	D. Barrie	—	30	0.0	0.00	2.7	0.00	57%	17%	27%
4828	D. Mynarek	—	30	0.0	0.00	3.7	0.00	37%	47%	17%
4829	Daniel Estraviz	—	30	0.0	0.00	2.3	0.00	47%	27%	27%
4830	David Dickinson	Scotland	30	4.4	0.27	3.3	0.40	50%	40%	10%
4831	Diogo Amado	—	30	0.0	0.10	2.3	0.00	33%	30%	37%
4832	Dylan Fernandes	—	30	0.0	0.00	2.6	0.00	40%	33%	27%
4833	E. Crnkic	—	30	0.0	0.00	3.5	0.00	43%	23%	33%
4834	E. Pashuku	—	30	0.0	0.00	2.3	0.00	43%	27%	30%
4835	Eduardo Fernández	—	30	0.0	0.00	2.3	0.00	40%	27%	33%
4836	Elliot Bell	England	30	3.8	0.10	2.1	0.10	63%	17%	20%
4837	Elmo Alves Resende Cunha	Brazil	30	5.2	0.23	2.2	0.10	47%	27%	27%
4838	F. Bakan	—	30	0.0	0.00	2.7	0.00	50%	27%	23%
4839	G. Bousquet	—	30	0.0	0.00	2.2	0.03	40%	20%	40%
4840	G. Ceccarelli	—	30	0.0	0.00	2.8	0.00	27%	50%	23%
4841	Gonçalo Carreira	—	30	0.0	0.00	2.6	0.03	30%	43%	27%
4842	Guillermo Cueto	—	30	0.0	0.00	2.0	0.00	43%	37%	20%
4843	H. De Graaf	—	30	0.0	0.00	2.9	0.00	40%	43%	17%
4844	H. Kaljanac	—	30	0.0	0.00	2.3	0.00	33%	27%	40%
4845	H. Paletta	—	30	4.7	0.27	2.3	0.10	43%	23%	33%
4846	H. Pedersen	—	30	0.3	0.00	3.1	0.03	43%	40%	17%
4847	H. Ziari	—	30	0.0	0.00	1.7	0.00	40%	13%	47%
4848	İ. Meral	—	30	0.0	0.00	2.7	0.00	53%	20%	27%
4849	I. Vučković	—	30	0.0	0.00	2.4	0.00	40%	33%	27%
4850	Ioannis Papadopoulos	Greece	30	1.7	0.13	2.0	0.00	23%	43%	33%
4851	J. Atagana	—	30	0.0	0.00	2.9	0.00	40%	43%	17%
4852	J. Bilinski	—	30	0.3	0.00	3.1	0.00	60%	30%	10%
4853	J. Oses	—	30	1.9	0.17	2.1	0.07	47%	23%	30%
4854	J. Phillips	—	30	4.8	0.37	2.4	0.13	30%	37%	33%
4855	J. Urwin	—	30	0.0	0.00	2.6	0.00	57%	20%	23%
4856	Javier García	—	30	0.0	0.00	1.7	0.00	47%	20%	33%
4857	João Capela	—	30	4.2	0.37	2.0	0.10	43%	40%	17%
4858	Joaquín Barrera	—	30	0.0	0.00	2.7	0.00	40%	20%	40%
4859	Joaquin Ochoa	—	30	0.0	0.00	2.5	0.00	40%	27%	33%
4860	Jochen Drees	Germany	30	2.2	0.07	2.7	0.10	47%	47%	7%
4861	José Huamán	—	30	0.0	0.00	3.0	0.00	27%	40%	33%
4862	Jose Penaloza	Mexico	30	0.0	0.00	2.8	0.00	40%	17%	43%
4863	Josef Spurny	—	30	0.6	0.13	2.7	0.00	50%	23%	27%
4864	Julio Sáenz de Buruaga	—	30	0.0	0.00	2.6	0.00	50%	23%	27%
4865	K. Katoikos	—	30	1.1	0.03	2.5	0.03	50%	30%	20%
4866	K. Poulikidis	—	30	1.8	0.10	2.7	0.00	47%	23%	30%
4867	K. Todorov	—	30	0.0	0.00	2.3	0.00	63%	17%	20%
4868	Kim Ki-Hyun	—	30	0.1	0.17	2.6	0.13	37%	43%	20%
4869	L. Caripa	—	30	1.5	0.07	2.7	0.03	57%	10%	33%
4870	L. Di Bastiano	—	30	0.0	0.07	2.1	0.13	33%	27%	40%
4871	Luigi Pillitteri	Italy	30	0.0	0.00	3.2	0.00	43%	37%	20%
4872	M. Abitoglu	—	30	0.0	0.00	2.4	0.00	27%	40%	33%
4873	M. El Baroudi	—	30	0.2	0.00	2.7	0.03	43%	47%	10%
4874	M. Joos	—	30	0.0	0.00	4.1	0.00	53%	37%	10%
4875	M. Mastiš	—	30	0.0	0.00	2.4	0.00	47%	27%	27%
4876	M. Schlacher	—	30	0.0	0.00	3.0	0.00	47%	33%	20%
4877	M. Tietze	—	30	0.0	0.00	3.7	0.00	37%	30%	33%
4878	Marta Casado	—	30	0.3	0.00	4.0	0.03	47%	30%	23%
4879	Miguel Ferrol	—	30	0.0	0.00	2.6	0.00	40%	33%	27%
4880	Miguel Silva	—	30	0.0	0.07	2.3	0.13	37%	27%	37%
4881	N. Musekamp	—	30	0.0	0.00	3.8	0.00	53%	27%	20%
4882	Nélson Cunha	—	30	0.0	0.00	2.6	0.00	40%	37%	23%
4883	O. Solovyan	—	30	1.1	0.13	2.9	0.07	43%	27%	30%
4884	P. Dubrovets	—	30	0.0	0.00	2.7	0.00	50%	23%	27%
4885	P. Issising	—	30	0.0	0.00	2.8	0.00	57%	23%	20%
4886	P. Kukla	—	30	0.0	0.00	3.2	0.00	43%	40%	17%
4887	Pablo Dovalo	Argentina	30	2.5	0.23	2.0	0.10	50%	37%	13%
4888	Pablo Escribano	—	30	0.0	0.00	2.5	0.00	37%	37%	27%
4889	Q. Fourel	—	30	0.0	0.00	2.4	0.00	40%	33%	27%
4890	R. Allahverdiyev	—	30	0.0	0.00	3.0	0.00	53%	33%	13%
4891	R. Skaalum	—	30	0.1	0.00	4.2	0.00	40%	40%	20%
4892	Raúl Rivas	—	30	0.0	0.00	2.9	0.00	50%	37%	13%
4893	Renato Gonçalves	—	30	0.0	0.00	2.1	0.23	30%	43%	27%
4894	Ricardo Diogo	—	30	0.0	0.10	2.4	0.20	33%	30%	37%
4895	Richard Clark	England	30	0.0	0.00	3.0	0.00	57%	23%	20%
4896	Richard Liesveld	Netherlands	30	3.2	0.23	2.7	0.17	43%	27%	30%
4897	Rui Filipe Gonçalves	—	30	0.0	0.00	3.3	0.00	40%	43%	17%
4898	S. Hiri	—	30	0.0	0.00	2.8	0.17	53%	33%	13%
4899	S. Murdoch	—	30	1.1	0.07	2.3	0.03	37%	33%	30%
4900	Salvador Morros	—	30	0.0	0.00	2.0	0.00	37%	43%	20%
4901	T. Bender	—	30	0.0	0.00	3.5	0.00	43%	33%	23%
4902	T. Huthmacher	—	30	0.0	0.00	3.1	0.00	47%	33%	20%
4903	T. İnan	—	30	0.0	0.00	2.5	0.00	53%	30%	17%
4904	T. Waldinger	—	30	0.0	0.00	3.2	0.00	40%	40%	20%
4905	T. Wieser	—	30	0.0	0.00	3.6	0.00	27%	40%	33%
4906	T. Wilson	—	30	0.0	0.00	2.2	0.00	30%	37%	33%
4907	T. Zamagni	—	30	0.0	0.00	2.5	0.00	27%	27%	47%
4908	Thomas Bramall	—	30	0.0	0.00	2.8	0.00	50%	37%	13%
4909	Unai Anduaga	—	30	0.0	0.00	2.7	0.00	50%	23%	27%
4910	V. Sousa	—	30	0.0	0.00	2.4	0.00	50%	23%	27%
4911	Vicente Gil	—	30	0.0	0.00	2.6	0.00	50%	37%	13%
4912	Wael Farhan	—	30	0.2	0.00	2.0	0.00	53%	10%	37%
4913	Wan Tao	—	30	1.1	0.03	2.8	0.10	37%	53%	10%
4914	Wasley do Couto Leon	—	30	0.0	0.00	2.4	0.03	33%	33%	33%
4915	Woo Chun Sing	—	30	0.0	0.00	3.6	0.00	57%	30%	13%
4916	Y. Bouali	—	30	0.0	0.00	1.8	0.00	63%	23%	13%
4917	Y. Martínez	—	30	0.0	0.00	2.3	0.00	37%	40%	23%
4918	Y. Triki	—	30	0.3	0.00	1.5	0.03	30%	33%	37%
4919	Yan Lifu	—	30	0.5	0.00	2.5	0.00	43%	37%	20%
4920	A. Baciu	—	29	0.0	0.00	2.6	0.00	48%	38%	14%
4921	A. Breguța	—	29	0.0	0.00	2.5	0.00	48%	35%	17%
4922	A. Chouchen	—	29	0.0	0.00	2.1	0.00	59%	24%	17%
4923	A. Haymana	—	29	0.0	0.00	2.5	0.00	41%	35%	24%
4924	A. Kelly	—	29	0.0	0.00	2.5	0.00	66%	14%	21%
4925	A. Lapret	—	29	0.0	0.00	3.5	0.00	52%	31%	17%
4926	A. Morazán	—	29	0.0	0.00	3.2	0.00	48%	28%	24%
4927	A. Setiawan	—	29	0.6	0.00	2.9	0.00	62%	17%	21%
4928	A. Shaqiri	—	29	0.3	0.00	3.8	0.00	31%	45%	24%
4929	Abdelatif Kherradji	France	29	4.1	0.38	2.0	0.14	59%	10%	31%
4930	Alain Ojeda	—	29	0.0	0.00	3.5	0.00	41%	45%	14%
4931	Alexandre Represas	—	29	0.0	0.00	2.2	0.00	52%	28%	21%
4932	Anderson da Silveira Farias	—	29	0.3	0.00	1.5	0.00	35%	21%	45%
4933	Andrés Martínez	—	29	0.0	0.10	2.6	0.00	45%	35%	21%
4934	Ángel Berjaga	—	29	0.0	0.00	2.7	0.00	38%	17%	45%
4935	B. Bregadze	—	29	1.1	0.10	2.7	0.07	35%	38%	28%
4936	B. Kuntchulia	—	29	0.7	0.00	2.9	0.07	48%	31%	21%
4937	B. Varela	—	29	3.0	0.07	2.4	0.14	52%	35%	14%
4938	Benjamin Jensen	—	29	0.0	0.00	3.1	0.00	55%	35%	10%
4939	C. Cudini	—	29	0.0	0.00	2.1	0.00	41%	31%	28%
4940	C. Deischler	—	29	0.0	0.00	2.2	0.00	45%	35%	21%
4941	Carlos Martinez	—	29	0.0	0.00	2.9	0.00	62%	31%	7%
4942	D. Amabile	—	29	0.0	0.00	2.5	0.00	38%	38%	24%
4943	D. de Vries	—	29	0.0	0.00	3.1	0.00	48%	31%	21%
4944	D. Köppen	—	29	0.0	0.00	3.5	0.00	45%	35%	21%
4945	David Caro	—	29	0.0	0.00	2.5	0.00	48%	38%	14%
4946	Deborah Cecilia Cruz Correia	—	29	0.5	0.03	2.0	0.00	48%	21%	31%
4947	Diego Lastra	—	29	0.0	0.00	2.3	0.00	45%	31%	24%
4948	E. Mujić	—	29	0.0	0.00	2.8	0.00	41%	28%	31%
4949	F. Colaninno	—	29	0.0	0.00	2.5	0.00	35%	48%	17%
4950	F. Pasqua	—	29	3.2	0.10	2.9	0.21	28%	48%	24%
4951	F. Petit	—	29	0.0	0.00	2.8	0.00	31%	45%	24%
4952	F. Rosy	—	29	0.0	0.00	2.7	0.00	45%	31%	24%
4953	F. Zago	—	29	0.1	0.00	2.3	0.00	35%	38%	28%
4954	Fitri Maskon	—	29	0.0	0.00	3.1	0.00	52%	38%	10%
4955	Francisco Ortiz	—	29	0.0	0.00	2.3	0.00	31%	17%	52%
4956	G. Alkayalar	—	29	0.0	0.00	3.1	0.00	52%	35%	14%
4957	G. Giusti	—	29	0.0	0.00	2.6	0.00	31%	24%	45%
4958	G. Guillot	—	29	0.0	0.00	3.8	0.00	55%	45%	0%
4959	G. Machitidze	—	29	1.8	0.00	3.0	0.07	55%	31%	14%
4960	G. Zuñiga	—	29	0.0	0.00	2.7	0.00	52%	21%	28%
4961	Granit Maqedonci	Sweden	29	2.3	0.03	2.3	0.10	45%	17%	38%
4962	H. Sabanci	—	29	0.0	0.00	2.6	0.00	52%	31%	17%
4963	H. Ventzke	—	29	0.0	0.00	2.2	0.00	48%	35%	17%
4964	Hasrol Amir	—	29	0.0	0.00	2.5	0.00	31%	38%	31%
4965	Hugo Alonso	—	29	0.0	0.00	2.5	0.00	45%	31%	24%
4966	I. Libri	—	29	0.0	0.00	3.7	0.03	45%	45%	10%
4967	I. Robilotta	—	29	0.0	0.00	2.7	0.00	28%	31%	41%
4968	Ivan Kružliak	Slovakia	29	0.2	0.00	2.8	0.00	59%	17%	24%
4969	Iván Sánchez	—	29	0.0	0.00	2.2	0.00	48%	31%	21%
4970	J. Jäschke	—	29	0.0	0.00	4.5	0.00	55%	24%	21%
4971	J. Justiniano	—	29	0.0	0.00	2.9	0.00	55%	35%	10%
4972	J. Lautz	—	29	0.0	0.00	3.1	0.00	45%	45%	10%
4973	J. Mbei	—	29	0.0	0.00	2.7	0.00	48%	35%	17%
4974	J. McLoughlin	—	29	0.0	0.00	2.7	0.00	45%	35%	21%
4975	J. Singh	—	29	3.7	0.21	3.0	0.10	55%	31%	14%
4976	J. Surgan	—	29	0.0	0.00	3.7	0.03	52%	31%	17%
4977	Jacob A. Sundberg	Denmark	29	4.1	0.14	2.5	0.14	35%	35%	31%
4978	Jailson Macedo Freitas	Brazil	29	5.0	0.10	2.6	0.24	52%	17%	31%
4979	Javier Sánchez	—	29	0.0	0.00	2.9	0.00	62%	10%	28%
4980	Javier Villaescusa	—	29	0.0	0.00	2.2	0.00	45%	21%	35%
4981	Jia Zhiliang	—	29	0.2	0.00	2.0	0.00	24%	31%	45%
4982	João Veríssimo	—	29	0.0	0.03	2.1	0.10	41%	35%	24%
4983	Jong-Hyeok Kim	South Korea	29	3.2	0.10	2.7	0.21	55%	21%	24%
4984	Jose Claudio Rocha Filho	—	29	0.6	0.03	2.2	0.03	41%	41%	17%
4985	Joseph Dickerson	USA	29	1.2	0.07	3.5	0.10	55%	28%	17%
4986	Julio Martínez	—	29	0.0	0.00	2.7	0.00	35%	31%	35%
4987	Jun Lin	China	29	0.0	0.00	3.0	0.00	35%	41%	24%
4988	K. Anderson	—	29	0.0	0.00	2.3	0.00	28%	45%	28%
4989	K. Bairaktaris	—	29	0.0	0.00	2.1	0.00	45%	21%	35%
4990	K. Domnick	—	29	0.0	0.00	3.0	0.00	38%	41%	21%
4991	K. Rafalski	—	29	0.0	0.00	3.2	0.00	31%	45%	24%
4992	L. Heiduck	—	29	0.0	0.00	3.6	0.00	52%	28%	21%
4993	M. Avram	—	29	0.0	0.00	2.9	0.00	41%	31%	28%
4994	M. Begusch	—	29	0.0	0.00	3.7	0.00	59%	31%	10%
4995	M. Cestarić	—	29	0.0	0.00	2.8	0.00	45%	24%	31%
4996	M. Holmberg	—	29	1.6	0.00	3.1	0.03	41%	41%	17%
4997	M. Hristov	—	29	0.0	0.00	3.1	0.00	38%	52%	10%
4998	M. Nhiyeh	—	29	0.0	0.00	2.5	0.00	41%	35%	24%
4999	M. Quiles	—	29	0.0	0.00	2.2	0.07	35%	28%	38%
5000	Manuel González del Campo	—	29	0.0	0.00	2.3	0.00	45%	41%	14%

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