#	Level	Player	Location	Score	Score / Min	Kills	Kills / Min	KDR	Kill Streak	Achievements	Wins	W / L Ratio	Accuracy
101		Quix	Waukesha, WI	1,972,023	166.88	31,951	2.70	2.37	2960	65	1432	1.15	26.55%
102		Jollyblack56	Lake Charles, LA	1,953,748	131.44	47,211	3.18	1.87	1860	24	1252	1.25	15.34%
103		Booster935	O Fallon, MO	1,952,775	138.15	34,419	2.43	2.48	2150	40	1128	1.26	20.47%
104		Nate	Waukesha, WI	1,950,280	109.62	32,164	1.81	1.53	2750	45	2142	1.12	19.21%
105		Oldfatnslow	Madison, WI	1,940,947	158.20	26,279	2.14	2.12	2930	53	1540	1.41	8.85%
106		AbouLRoulouf	Amchit, Lebanon	1,936,106	80.81	54,953	2.29	1.51	1090	39	2755	1.35	31.07%
107		Ravnergreen	Madison, WI	1,927,173	153.98	29,281	2.34	1.61	3020	38	1459	1.18	10.88%
108		LateApex	Rochester, MI	1,926,135	181.29	32,434	3.05	2.51	2190	62	1212	1.08	10.77%
109		BBaljeu	Bunbury, Western Australia	1,919,515	89.59	24,231	1.13	0.80	1940	21	3876	1.17	10.93%
110		PewPewツDefenestrate	Schiller Park, IL	1,910,144	150.14	26,542	2.09	2.38	2500	41	1633	1.27	12.31%
111		TeeTime	Calgary (Penbrooke Meadows / Marlborough), Alberta	1,905,982	78.97	56,571	2.34	1.96	1920	48	1562	1.21	25.58%
112		CTRU01	Richmond North, British Columbia	1,903,982	131.83	28,417	1.97	2.93	2270	56	1477	1.46	30.22%
113		ocKez	Bunbury, Western Australia	1,897,417	134.38	33,967	2.41	1.45	2190	39	2698	1.30	8.60%
114		CTRU02	Richmond North, British Columbia	1,896,804	113.25	27,249	1.63	2.60	2140	22	1771	1.46	29.10%
115		chicos	Waukesha, WI	1,891,685	132.93	30,099	2.12	1.70	3160	65	1938	1.20	19.42%
116		BIGRAED54	Madison Heights, MI	1,890,419	230.00	32,426	3.95	2.82	2020	64	950	1.13	10.59%
117		ṤḾḷĹƩƧ	Atlantic Beach, NC	1,889,982	213.53	36,732	4.15	3.27	1880	42	1095	1.31	9.97%
118		KingCal36	Madison, WI	1,861,045	180.92	30,461	2.96	3.02	2940	73	1274	1.31	15.59%
119		bigsweaty	Waukesha, WI	1,854,282	131.60	31,452	2.23	1.93	3290	40	1940	1.32	19.52%
120		Knoxxik	Rochester, MI	1,843,296	213.86	29,890	3.47	3.14	2480	55	1047	1.20	10.88%
121		Shootermcgavin25	Rochester, MI	1,834,980	155.33	28,581	2.42	2.98	2110	43	1407	1.15	10.87%
122		Kihdbravo	Rochester, MI	1,826,557	195.60	29,752	3.19	2.57	2460	45	1191	1.36	17.01%
123		Wefy	Schiller Park, IL	1,798,204	98.91	23,183	1.28	1.45	2470	34	2200	1.18	8.35%
124		Washburne	Bunbury, Western Australia	1,787,686	142.10	26,669	2.12	1.21	2050	38	2447	1.28	10.26%
125		Havok46	Madison, WI	1,735,709	114.45	38,371	2.53	2.03	2660	59	1755	1.15	15.89%
126		EClem107	Waukesha, WI	1,720,527	106.89	34,985	2.17	1.59	3210	88	2240	1.38	21.06%
127		TheOwl	Schiller Park, IL	1,701,950	151.67	25,543	2.28	2.17	2630	48	1351	1.17	13.51%
128		yffBloodBath	Rochester, MI	1,694,265	222.37	32,373	4.25	2.26	2090	57	830	1.01	13.28%
129		Ashaway	Waukesha, WI	1,681,834	124.83	24,847	1.84	1.58	3620	77	1696	1.16	42.07%
130		Aust1n22	O Fallon, MO	1,678,695	158.56	31,734	3.00	2.10	2130	34	845	1.22	25.28%
131		LadyPhantom	Madison, WI	1,667,158	105.82	22,661	1.44	1.88	3080	80	1840	1.16	8.82%
132		SARGENTBLACKBURN	Rochester, MI	1,659,634	189.11	27,996	3.19	3.28	2210	96	916	0.93	10.31%
133		SEABAS5	O Fallon, MO	1,644,529	81.58	31,077	1.54	1.83	2350	16	1604	1.08	15.82%
134		Ghostly771	Bunbury, Western Australia	1,629,988	134.69	23,459	1.94	1.27	1930	52	2041	0.96	5.36%
135		ZacharyC93	Lake Charles, LA	1,628,483	175.69	35,175	3.79	2.76	1110	45	674	1.54	16.99%
136		lizard123	Bunbury, Western Australia	1,627,760	157.73	22,131	2.14	1.47	1810	53	1885	1.14	7.85%
137		Bazz339	Bunbury, Western Australia	1,601,446	137.10	21,176	1.81	1.16	2000	22	2037	1.02	7.92%
138		BrownSquirrel	Schiller Park, IL	1,597,254	149.12	21,806	2.04	2.01	2440	47	1366	1.26	12.59%
139		Snowboi	Atlantic Beach, NC	1,596,270	186.71	29,711	3.48	2.36	2240	96	893	1.04	7.56%
140		Rockmonster58	Bunbury, Western Australia	1,587,848	161.54	21,219	2.16	1.28	1950	33	1705	0.98	9.08%
141		tjr	Waukesha, WI	1,587,777	154.46	24,570	2.39	2.51	3000	71	1456	1.24	28.44%
142		bbqninja	O Fallon, MO	1,581,347	84.20	24,669	1.31	1.63	2190	30	1403	1.03	20.02%
143		RZR	Rochester, MI	1,572,488	159.43	27,421	2.78	2.23	2480	46	1095	1.01	11.18%
144		Rex86	Madison, WI	1,565,816	162.68	24,867	2.58	2.32	2480	32	1193	1.36	10.11%
145		DanteD	Kassel, Hessen	1,563,453	105.03	22,283	1.50	1.49	1970	58	957	1.30	45.34%
146		ubidoob	Minneapolis, MN	1,563,357	122.09	25,211	1.97	2.63	3190	59	1781	1.49	9.52%
147		JFG1	Rochester, MI	1,549,156	161.03	22,776	2.37	3.33	2150	43	1009	0.90	6.98%
148		JacobGreenhalgh	Bunbury, Western Australia	1,538,750	133.39	25,955	2.25	1.16	2070	24	2177	1.26	11.88%
149		Speedmeans	Waukesha, WI	1,514,585	129.04	23,759	2.02	1.76	2930	79	1398	1.12	18.00%
150		JDjenkins	Madison, WI	1,511,710	141.38	21,945	2.05	1.74	2550	29	1293	1.29	12.33%