USTA NorCal tennis player ratings

Player	Level	Perf	Bump	Record	Win %	Confidence
YW Yue Wu Women · Cupertino	2.5S	3.83	▲100%4.0	38–17	69%	Med
SL Song Lee Women · Mountain View	2.5S	3.50	▲100%3.5	20–20	50%	High
AJ Andrew Johnson Men · Novato	2.5S	3.49	—	12–6	67%	High
EK Esther Kim Women · San Francisco	2.5S	3.33	▲100%3.5	75–39	66%	Med
KW Kexin Wang Women · San Jose	2.5C	3.10	—	4–7	36%	Med
TL Tung-ling Li Men · Fremont	2.5S	3.04	▲100%3.5	6–3	67%	Med
TB Tanya Betancur Women · Novato	2.5S	3.03	▲100%3.5	21–9	70%	Med
AG Anne Giannini Women · Greenbrae	2.5C	3.02	▲100%3.5	8–13	38%	High
LW Lauren Wallace Women · Danville	2.5S	2.99	▲100%3.0	5–0	100%	Med
CE Christian Edvardsen Men · San Francisco	2.5C	2.99	▲100%3.0	12–7	63%	High
MW Melody Wang Women · Sunnyvale	2.5C	2.92	▲99%3.0	30–19	61%	High
HS Hemali Shah Women · San Carlos	2.5C	2.92	▲99%3.0	8–9	47%	Med
MP Manjiri Patil Women · San Mateo	2.5C	2.92	▲99%3.0	37–25	60%	High
PH Philip Ho Men · San Francisco	2.5S	2.90	▲99%3.0	3–6	33%	Med
XH Xiaoer Hu Women · Santa Clara	2.5S	2.84	▲98%3.0	26–3	90%	Med
JS Jeannie Simpelo Women · Danville	2.5C	2.84	▲98%3.0	48–24	67%	High
JF James Fazzio Men · Sacramento	2.5S	2.84	▲98%3.0	6–6	50%	Med
HD Haiting Diao Women · Santa Clara	2.5C	2.83	▲98%3.0	35–13	73%	Med
AM Amir Motmaen Men · San Francisco	2.5C	2.82	▲98%3.0	3–2	60%	Med
AV Alexandre Vauthey Men · San Francisco	2.5M	2.82	▲98%3.0	7–11	39%	Med
YW Yunwen Wang Women · Santa Clara	2.5C	2.81	▲97%3.0	28–12	70%	Med
RB Rishit Borad Men · Castro Valley	2.5S	2.80	—	3–7	30%	Med
TM Tiffany Matthews Women · Orinda	2.5C	2.80	▲97%3.0	9–6	60%	Low
KA Kristin Armitage Women · Santa Rosa	2.5C	2.80	▲97%3.0	6–6	50%	High
PR Patricia Rodgers Women · Mill Valley	2.5C	2.79	—	0–5	0%	Med
JT Jason Thai Men · San Francisco	2.5S	2.78	▲95%3.0	9–5	64%	Med
EY Ellie Yu Women · Santa Clara	2.5S	2.77	▲95%3.0	10–11	48%	Low
EK Elizabeth Kao Women · San Francisco	2.5C	2.77	▲95%3.0	14–32	30%	Med
JD JAYACHANDRA DUTHULURU Men · Pleasanton	2.5S	2.77	—	2–0	100%	Low
KE Kathleen Estreich Women · Los Altos Hills	2.5S	2.76	▲94%3.0	31–11	74%	Med
RM Roberta Marcos Women · Novato	2.5S	2.75	▲93%3.0	2–2	50%	Med
FW Frances Wu Women · San Jose	2.5C	2.75	▲93%3.0	31–15	67%	High
BK Brett Kelez Men · Los Gatos	2.5S	2.75	▲93%3.0	3–2	60%	Med
TB Tara Baker Women · Napa	2.5S	2.74	—	1–0	100%	Low
CZ Carey Zhou Women · Mountain View	2.5S	2.74	—	2–2	50%	Med
CL Christine Li Women · Sunnyvale	2.5S	2.74	▲92%3.0	8–6	57%	Med
XY Xia Yang Women · Saratoga	2.5S	2.74	▲92%3.0	6–7	46%	Med
SP Seth Peck Men · Los Altos	2.5S	2.74	▲92%3.0	6–8	43%	Med
SX Shanshan Xie Women · Sunnyvale	2.5C	2.73	▲91%3.0	17–12	59%	High
EC Eric Christensen Men · Vacaville	2.5M	2.73	▲91%3.0	20–8	71%	Med
CF Camila Feng Women · Palo Alto	2.5C	2.73	▲90%3.0	43–28	61%	Med
NK Nikki Kumasaka Women · Santa Rosa	2.5C	2.72	▲90%3.0	6–10	38%	Med
HZ Han Zhang Women · San Jose	2.5S	2.72	▲90%3.0	14–10	58%	Med
LC Lauren Cromwell Women · Belvedere Tiburon	2.5S	2.72	▲90%3.0	5–3	63%	Med
JW Justin White Men · Lafayette	2.5S	2.72	▲89%3.0	3–6	33%	Med
ML Molly LeMay Women · Fresno	2.5C	2.72	▲89%3.0	10–13	43%	Med
VL Victoria Laury Women · Belvedere Tiburon	2.5S	2.71	—	0–1	0%	Low
GM George Mattinger Men · Cupertino	2.5S	2.71	▲89%3.0	1–9	10%	Med
LM Lindsay Mar Women · Santa Clara	2.5S	2.71	—	0–1	0%	Low
RO Rose OMalley Women · Santa Rosa	2.5C	2.71	▲89%3.0	8–19	30%	Low
LT Lan Tran Women · Santa Rosa	2.5S	2.71	▲89%3.0	2–12	14%	High
MC Marguerite Coin Women · San Rafael	2.5S	2.70	—	0–1	0%	Low
YY Yang Ye Women · Los Gatos	2.5C	2.70	▲87%3.0	24–23	51%	High
WM Weiwei Meng Women · Sunnyvale	2.5S	2.70	▲87%3.0	22–14	61%	High
LS Lauren Seitz Women · Elk Grove	2.5C	2.70	▲87%3.0	9–10	47%	Low
AA Ali Afzal Men · San Jose	2.5S	2.70	—	1–1	50%	Low
ME Mark Eckert Men · Danville	2.5S	2.69	▲86%3.0	2–3	40%	Med
AD Alison Douglas Women · Fresno	2.5C	2.69	▲86%3.0	4–3	57%	High
DD Danielle Davila Women · Sonoma	2.5C	2.69	▲85%3.0	22–8	73%	High
AH Adrian Hill Women · Berkeley	2.5C	2.69	▲85%3.0	10–15	40%	Med
JM Jingyi Mu Women · Sunnyvale	2.5S	2.69	▲84%3.0	12–14	46%	High
VS Vipin Sharma Men · Vacaville	2.5S	2.68	—	0–2	0%	Low
TZ Tianyi Zhang Women · Santa Clara	2.5S	2.68	—	1–3	25%	Med
CG Cynthia Goldberg Women · Healdsburg	2.5C	2.68	—	2–1	67%	Low
TS Tom Schroder Men · Danville	2.5S	2.67	—	0–2	0%	Low
JT Julia Tang Women · San Mateo	2.5C	2.67	—	5–8	38%	High
PC Paul Ciccarelli Men · Sacramento	2.5S	2.67	▲81%3.0	2–7	22%	High
AW ALEX WAPNIARSKI Men · Santa Clara	2.5S	2.67	—	1–1	50%	Low
NM Nicole Murphy Women · San Francisco	2.5S	2.67	▲81%3.0	7–9	44%	Med
HJ Heath Johnston Men · San Anselmo	2.5S	2.67	▲81%3.0	1–5	17%	Med
CS Clint Shannon Men · San Francisco	2.5S	2.67	▲81%3.0	6–6	50%	Med
JB Jacqueline Bender Women · San Francisco	2.5C	2.67	▲81%3.0	4–12	25%	Med
MC Matthew Chamberlin Men · San Rafael	2.5S	2.67	▲81%3.0	0–3	0%	Low
LK Lisa Kirk-Williams Women · Capitola	2.5C	2.67	▲81%3.0	5–21	19%	Med
IG Itay Gazit Men · San Jose	2.5C	2.67	—	1–2	33%	Low
SZ Susan Zhang Women · Elk Grove	2.5S	2.66	▲79%3.0	3–8	27%	High
SS Situ Sakha Women · San Jose	2.5S	2.66	—	0–1	0%	Low
AC Amy Collier Women · Folsom	2.5S	2.66	▲79%3.0	6–0	100%	Med
RL Rosa Li Women · San Francisco	2.5S	2.66	▲79%3.0	18–9	67%	High
MB Marci Briskin Women · Campbell	2.5C	2.66	▲78%3.0	28–16	64%	High
MH Melissa Ha Women · Elk Grove	2.5S	2.66	—	0–2	0%	Low
SR Sherry Ren Women · Palo Alto	2.5C	2.65	—	1–5	17%	Med
KK Ken Kim Men · Orinda	2.5S	2.65	▲75%3.0	7–4	64%	Med
MG Minerva Gupta Women · Menlo Park	2.5S	2.64	▲74%3.0	8–5	62%	Med
MH Muriel Holzer Women · Orinda	2.5S	2.64	—	0–4	0%	Med
RC Robert Claassen Men · Los Altos Hills	2.5C	2.64	▲73%3.0	11–19	37%	Med
YZ Yi Zhong Women · REDWOOD CITY	2.5S	2.64	—	0–4	0%	Med
JW Jaisha Webb Women · Reno	2.5S	2.64	▲72%3.0	2–6	25%	High
SV Shashank Venkata Subbaiah Men · Dublin	2.5S	2.63	▲71%3.0	1–4	20%	Med
BD Bassam Dimes Men · Campbell	2.5S	2.63	▲71%3.0	1–8	11%	Med
MP Maryann Pellegrini Women · Santa Rosa	2.5S	2.63	▲71%3.0	1–4	20%	Med
KH Kristina Hehrne Women · Los Altos	2.5C	2.63	▲71%3.0	20–17	54%	Med
OE Olivia Emerson Women · Reno	2.5C	2.63	—	2–4	33%	Med
TD Tara Dietrick Women · Piedmont	2.5C	2.63	▲70%3.0	16–22	42%	Med
MZ Manqin Zhong Women · SANTA CLARA	2.5S	2.63	▲69%3.0	14–9	61%	High
BH Babette Heyer Women · Sunnyvale	2.5C	2.62	▲68%3.0	4–10	29%	High
TG Taylor Gibson Women · Danville	2.5C	2.62	▲67%3.0	14–18	44%	Med
YH Yunzhe Huang Women · Newark	2.5S	2.62	▲67%3.0	3–7	30%	Med
DT Danielle Tully Women · San Rafael	2.5S	2.62	▲67%3.0	19–8	70%	Low
SB Sally Baack Women · Piedmont	2.5C	2.62	▲66%3.0	25–17	60%	High
LG Lisa Gonzalez Women · San Jose	2.5S	2.62	▲66%3.0	1–6	14%	Med
LL Linnea Leopold Women · Felton	2.5S	2.62	▲66%3.0	2–8	20%	Low
PT Pragya Tiwari Women · Santa Clara	2.5S	2.62	—	0–2	0%	Low
KT Katie Thomas Women · Lafayette	2.5S	2.61	▲64%3.0	4–2	67%	Med
NB Noella Betkolia Women · San Jose	2.5C	2.61	▲64%3.0	9–9	50%	High
LC Liduvina Carreon Women · Napa	2.5S	2.61	▲64%3.0	19–5	79%	Med
NO Nicole Otta Women · Fresno	2.5S	2.61	▲63%3.0	4–5	44%	Med
DP Dimitra Papachristou Women · Mountain View	2.5C	2.61	▲63%3.0	34–18	65%	High
AL Andreas Leypold Men · Danville	2.5C	2.61	▲63%3.0	7–27	21%	Med
DH Diane Heinze Women · Oakland	2.5C	2.61	▲62%3.0	21–17	55%	High
KF Kristie Felton Women · Hillsborough	2.5C	2.60	▲60%3.0	10–19	34%	Med
SB Shree Bharathan Women · Redwood City	2.5S	2.60	▲60%3.0	15–19	44%	High
AC Adrian Caguiat Men · Fairfield	2.5C	2.60	▲59%3.0	3–17	15%	Low
NP Nikki Perlman Women · Belvedere Tiburon	2.5S	2.60	▲59%3.0	7–1	88%	Low
Dd Donzi de Souza Women · Oakland	2.5C	2.59	—	1–2	33%	Low
PM Pramathesh Malshe Men · Fremont	2.5S	2.59	▲58%3.0	0–4	0%	Med
MN Michelle Nie Women · Burlingame	2.5S	2.59	▲58%3.0	5–4	56%	Med
JS Janice Sampson Women · Fresno	2.5C	2.59	—	2–2	50%	Med
WZ Wenqiao Zhang Women · San Jose	2.5C	2.59	▲57%3.0	33–12	73%	Med
TW Tanya Walston Women · Mill Valley	2.5C	2.59	—	3–10	23%	Low
SN Sonja Navin Women · San Francisco	2.5C	2.59	▲57%3.0	3–7	30%	Med
MJ Michael Jacques Men · Portola Valley	2.5C	2.59	—	0–11	0%	Med
DH David Hiemstra Men · Santa Clara	2.5C	2.59	▲55%3.0	2–26	7%	Low
JS Jennie Stomberg Women · Piedmont	2.5S	2.58	—	0–2	0%	Low
BG Barry Greenwald Men · Danville	2.5A	2.58	▲55%3.0	17–13	57%	High
MV Mila Veber Women · Alamo	2.5C	2.58	▲55%3.0	13–13	50%	High
MK Mina Kim Women · DANVILLE	2.5S	2.58	▲54%3.0	15–7	68%	Med
WC Wyatt Carlton Men · Lincoln	2.5C	2.58	—	2–3	40%	Med
KS Kim Seay Women · Pleasanton	2.5C	2.58	▲54%3.0	13–12	52%	Med
CK Chloe Kim Women · Berkeley	2.5C	2.58	—	4–5	44%	Med
JP Jennifer Paletta Women · San Anselmo	2.5C	2.58	—	4–2	67%	Med
MF Millie Feng Women · Sunnyvale	2.5S	2.58	▲52%3.0	8–7	53%	High
KM Kirk Martinez Men · Danville	2.5S	2.58	▲52%3.0	0–4	0%	Med
MM Margaret Ma Women · San Jose	2.5A	2.57	▲51%3.0	12–26	32%	High
YL Yajun Liu Men · Fremont	2.5S	2.57	▲50%3.0	10–4	71%	Med
DM Dena McManis Women · Orinda	2.5C	2.57	▲50%3.0	33–22	60%	High
SB Siddhi Bahadkar Women · OAKLAND	2.5C	2.57	▲49%3.0	15–11	58%	High
SG Shelly Garza Women · Morgan Hill	2.5C	2.57	▲48%3.0	47–31	60%	Med
KE Kirsty Ellis Women · Belvedere Tiburon	2.5C	2.57	▲48%3.0	7–12	37%	Med
CC Caeti Capurro Women · Novato	2.5S	2.57	▲47%3.0	5–4	56%	High
GO Ginger Oakes Women · SAN JOSE	2.5C	2.56	▲47%3.0	8–15	35%	Low
BT Bonnie Taylor Women · Oakland	2.5C	2.56	▲46%3.0	3–12	20%	Low
JH Jia He Women · Sunnyvale	2.5S	2.56	▲45%3.0	6–10	38%	Med
PO Patti Olson Women · Oakland	2.5S	2.56	▲45%3.0	4–14	22%	Med
CM Caren McDonald Women · Berkeley	2.5S	2.56	▲45%3.0	4–11	27%	High
HN Hien Nguyen Women · Mountain View	2.5C	2.56	▲45%3.0	45–26	63%	High
SZ Shang Zhu Women · Oakland	2.5C	2.56	▲45%3.0	3–7	30%	Med
BL Benjamin Levine Men · Pleasanton	2.5C	2.55	—	0–5	0%	Med
KP Kotim Pak Women · Morgan Hill	2.5C	2.55	▲43%3.0	55–84	40%	High
CM Carol Muhn Women · Morgan Hill	2.5C	2.55	▲42%3.0	77–58	57%	High
KW Kinda Whitemyer Women · Folsom	2.5S	2.55	▲42%3.0	12–3	80%	Med
VG Vijaya Gadde Women · Berkeley	2.5C	2.55	▲41%3.0	27–21	56%	High
BN Blaise Novakovic Men · San Francisco	2.5S	2.55	▲40%3.0	2–22	8%	Med
DX Dandan Xue Women · REDWOOD CITY	2.5S	2.55	▲40%3.0	18–7	72%	High
MR Manuela Robinson Women · Castro Valley	2.5C	2.54	▲40%3.0	30–34	47%	High
KR Kari Reston Women · Belvedere Tiburon	2.5C	2.54	—	8–8	50%	High
KP Kimberly Price Women · Kentfield	2.5S	2.54	▲40%3.0	8–3	73%	Med
IR Irene Ruiz Women · Portola Valley	2.5C	2.54	—	1–4	20%	Med
MH Mary Hentges Women · Oakland	2.5C	2.54	▲40%3.0	5–14	26%	Med
AH Amanda Hoskins Women · El Dorado Hills	2.5S	2.54	▲40%3.0	4–0	100%	Med
MW Minxin Wang Men · Dublin	2.5C	2.54	—	0–7	0%	Med
AA Amy Ashcroft Women · San Francisco	2.5C	2.54	▲39%3.0	5–20	20%	Low
DL Douglas Lublin Men · Los Altos	2.5C	2.54	—	1–6	14%	Med
ZH Zinan Hu Women · Mountain View	2.5S	2.54	▲38%3.0	12–4	75%	Med
TG Tim Gilliss Men · Danville	2.5C	2.54	—	0–3	0%	Low
AW Allison Weinstein Women · Orinda	2.5C	2.54	▲38%3.0	24–25	49%	High
MS Mohit Sharma Men · Sunnyvale	2.5C	2.54	▲38%3.0	8–25	24%	High
BG Brian Gant Men · Vacaville	2.5S	2.54	▲37%3.0	0–8	0%	Low
LR Linda Ruggeri Women · Napa	2.5S	2.54	▲37%3.0	5–3	63%	Med
AW Amelie Wang Women · Pleasanton	2.5S	2.53	▲37%3.0	9–7	56%	High
KW Katherine Ward Women · Orinda	2.5S	2.53	▲36%3.0	5–0	100%	Med
EH Emilia Hofmeister Women · Orinda	2.5S	2.53	▲36%3.0	12–3	80%	Low
CY Cindy Yang Women · Orinda	2.5C	2.53	—	1–6	14%	Med
AS Aleksandra Smirnova Women · San Francisco	2.5C	2.53	▲36%3.0	1–7	13%	Low
CT Cindy Taylor Women · Rocklin	2.5S	2.53	▲35%3.0	6–3	67%	Med
AB Amrit Bains Men · Hayward	2.5S	2.53	▲35%3.0	5–4	56%	Med
MK MaryClare Kellett Women · Fairfield	2.5C	2.53	▲35%3.0	16–15	52%	Med
JW Jennifer Wright Women · Santa Rosa	2.5C	2.53	▲34%3.0	2–18	10%	Low
MB Marc Beretti Men · Menlo Park	2.5C	2.53	—	0–3	0%	Low
MC Mary Candelario Women · Santa Rosa	2.5C	2.53	—	1–8	11%	Med
KC Kate Connor Women · APTOS	2.5C	2.53	▲33%3.0	4–14	22%	Med
NK Natasha Krol Mantle Women · Napa	2.5C	2.52	—	9–8	53%	High
BH Brennan Hart Women · SANTA MONICA	2.5C	2.52	—	0–3	0%	Low
SL Shusheng Lu Men · Mountain View	2.5S	2.52	▲33%3.0	0–11	0%	Med
CC Celena Chen Women · San Francisco	2.5S	2.52	▲32%3.0	4–0	100%	Med
NH Nancy Hillman Women · Morgan Hill	2.5C	2.52	▲32%3.0	59–52	53%	High
AL Alison Littman Women · Mill Valley	2.5C	2.52	▲32%3.0	3–15	17%	Med
QL Qian Lyu Women · Mountain View	2.5C	2.52	▲31%3.0	5–9	36%	Med
SW Shiyun Wang Women · San Jose	2.5S	2.52	▲31%3.0	1–9	10%	Med
NH Nicole Han Women · Sunnyvale	2.5S	2.52	▲31%3.0	2–4	33%	Med
WX Winnie Xie Women · Sunnyvale	2.5S	2.52	▲31%3.0	3–17	15%	Med
NS Noa Schult Women · San Francisco	2.5C	2.52	▲31%3.0	2–7	22%	Low
MK Michael King Men · Orinda	2.5S	2.51	▲30%3.0	2–8	20%	Med
TM Timm Miller Men · Danville	2.5C	2.51	▲29%3.0	3–4	43%	Med
JC Jennifer Corey Women · Palo Alto	2.5C	2.51	▲29%3.0	20–24	45%	High
CR Caitlin Rozzi Women · Woodside	2.5A	2.51	—	3–2	60%	Med
BL Belinda Lee Women · San Jose	2.5S	2.51	▲29%3.0	0–5	0%	Med
KJ Karen James Women · Lafayette	2.5S	2.51	▲28%3.0	26–13	67%	High
CO Christopher O'Brien Men · Los Gatos	2.5S	2.50	▲27%3.0	0–9	0%	Med
TM Tyler Martz Women · Berkeley	2.5C	2.50	—	4–6	40%	Low

Players