MatchMetric — estimated NTRP ratings

Player	Level	Perf	Bump	Record	Win %	Confidence
YW Yue Wu Women	2.5S	3.97	▲100%4.0	14–5	74%	High
DJ David Johnson Men	2.5S	3.53	▲100%4.0	6–6	50%	High
JZ Jin Zhang Women	2.5S	3.33	▲100%3.5	28–22	56%	High
AJ Andrew Johnson Men	2.5S	3.26	—	0–1	0%	Low
JY Jingwen Yu Women	2.5S	3.24	—	1–0	100%	Low
EK Esther Kim Women	2.5S	3.24	—	1–0	100%	Low
KW Kexin Wang Women	2.5C	3.14	—	3–3	50%	Med
CF Camila Feng Women	2.5C	2.98	▲100%3.0	8–8	50%	High
CE Christian Edvardsen Men	2.5C	2.93	▲100%3.0	7–7	50%	High
TL Tung-ling Li Men	2.5S	2.92	▲100%3.0	4–1	80%	Med
MP Manjiri Patil Women	2.5C	2.90	▲100%3.0	19–16	54%	High
JS Jeannie Simpelo Women	2.5C	2.89	▲100%3.0	24–12	67%	High
LG Lisa Gonzalez Women	2.5S	2.86	—	1–1	50%	Low
PR Patricia Rodgers Women	2.5C	2.86	—	0–5	0%	Med
SP Seth Peck Men	2.5S	2.86	▲100%3.0	5–4	56%	Med
RL Rosa Li Women	2.5S	2.84	▲100%3.0	3–1	75%	Med
MZ Manqin Zhong Women	2.5S	2.83	▲100%3.0	4–5	44%	Med
TM Tiffany Matthews Women	2.5C	2.83	▲100%3.0	5–5	50%	High
JF James Fazzio Men	2.5S	2.83	▲100%3.0	4–6	40%	High
HS Hemali Shah Women	2.5C	2.83	▲100%3.0	6–7	46%	High
LW Lauren Wallace Women	2.5S	2.82	—	2–0	100%	Low
KA Kristin Armitage Women	2.5C	2.82	▲100%3.0	4–6	40%	High
AH Adrian Hill Women	2.5C	2.82	▲100%3.0	8–4	67%	High
TB Tanya Betancur Women	2.5S	2.82	▲100%3.0	16–8	67%	High
XH Xiaoer Hu Women	2.5S	2.81	▲100%3.0	12–3	80%	High
MH Megan Hansen Women	2.5S	2.81	▲100%3.0	23–26	47%	High
ML Molly LeMay Women	2.5C	2.80	▲100%3.0	4–3	57%	Med
AM Amir Motmaen Men	2.5C	2.80	▲100%3.0	2–2	50%	Med
LS Lauren Seitz Women	2.5C	2.79	▲100%3.0	3–4	43%	Med
RB Rishit Borad Men	2.5S	2.79	—	2–4	33%	Med
JT Jason Thai Men	2.5S	2.79	▲100%3.0	6–2	75%	Med
PH Philip Ho Men	2.5S	2.78	▲100%3.0	1–3	25%	Med
EK Elizabeth Kao Women	2.5C	2.78	▲100%3.0	10–18	36%	High
JD JAYACHANDRA DUTHULURU Men	2.5S	2.77	—	2–0	100%	Low
KT Katie Thomas Women	2.5S	2.77	▲100%3.0	4–2	67%	Med
HD Haiting Diao Women	2.5C	2.76	▲100%3.0	18–5	78%	High
EY Ellie Yu Women	2.5S	2.76	▲100%3.0	6–9	40%	High
SB Siddhi Bahadkar Women	2.5C	2.75	▲100%3.0	5–0	100%	Med
RM Roberta Marcos Women	2.5S	2.75	▲100%3.0	2–2	50%	Med
TB Tara Baker Women	2.5S	2.75	—	1–0	100%	Low
CZ Carey Zhou Women	2.5S	2.73	—	1–2	33%	Low
KM Kim Manasse Women	2.5S	2.73	—	0–1	0%	Low
ME Mark Eckert Men	2.5S	2.73	▲100%3.0	2–2	50%	Med
JM Jingyi Mu Women	2.5S	2.73	▲100%3.0	3–5	38%	Med
LM Laura Morrison Women	2.5S	2.72	—	1–0	100%	Low
DF Darlene Fredell Women	2.5S	2.72	—	0–1	0%	Low
MF Millie Feng Women	2.5S	2.72	▲100%3.0	3–3	50%	Med
VS Vipin Sharma Men	2.5S	2.72	—	0–1	0%	Low
BK Brett Kelez Men	2.5S	2.72	▲100%3.0	3–2	60%	Med
MC Marguerite Coin Women	2.5S	2.72	—	0–1	0%	Low
AA Ali Afzal Men	2.5S	2.72	—	1–1	50%	Low
KK Ken Kim Men	2.5S	2.72	▲100%3.0	7–2	78%	Med
JS Janice Sampson Women	2.5C	2.72	—	0–1	0%	Low
CT Cindy Taylor Women	2.5S	2.72	—	1–1	50%	Low
LK Lisa Kirk-Williams Women	2.5C	2.72	▲100%3.0	3–7	30%	High
AS April Song Women	2.5S	2.71	—	0–1	0%	Low
HJ Heath Johnston Men	2.5S	2.71	▲100%3.0	1–3	25%	Med
FW Frances Wu Women	2.5C	2.71	▲100%3.0	15–10	60%	High
YW Yunwen Wang Women	2.5C	2.71	▲100%3.0	12–7	63%	High
SO Saori Osawada Women	2.5S	2.71	▲100%3.0	4–5	44%	Med
DM Di Ma Women	2.5S	2.71	—	0–4	0%	Med
GM George Mattinger Men	2.5S	2.71	▲100%3.0	0–3	0%	Low
VL Victoria Laury Women	2.5S	2.71	—	0–1	0%	Low
JW Justin White Men	2.5S	2.71	▲100%3.0	1–2	33%	Low
LT Lan Tran Women	2.5S	2.71	▲100%3.0	2–11	15%	High
JW Jennifer Walker Women	2.5C	2.71	▲100%3.0	34–33	51%	High
TZ Tianyi Zhang Women	2.5S	2.71	—	0–1	0%	Low
VG Vijaya Gadde Women	2.5C	2.71	▲100%3.0	14–12	54%	High
DD Danielle Davila Women	2.5C	2.70	▲99%3.0	9–6	60%	High
GA Gerri Asuncion Women	2.5C	2.70	—	1–1	50%	Low
LM Lindsay Mar Women	2.5S	2.70	—	0–1	0%	Low
WM Weiwei Meng Women	2.5S	2.70	▲100%3.0	9–6	60%	High
NK Nikki Kumasaka Women	2.5C	2.70	▲100%3.0	4–5	44%	Med
JW Jaisha Webb Women	2.5S	2.69	▲100%3.0	2–3	40%	Med
FG FLANNERY GOOD Women	2.5C	2.69	—	0–1	0%	Low
MH Melissa Ha Women	2.5S	2.69	—	0–2	0%	Low
MP Maryann Pellegrini Women	2.5S	2.69	▲100%3.0	0–4	0%	Med
PO Patti Olson Women	2.5S	2.69	—	1–7	13%	Med
HZ Han Zhang Women	2.5S	2.69	▲100%3.0	8–7	53%	High
TD Tara Dietrick Women	2.5C	2.69	▲100%3.0	13–10	57%	High
AW ALEX WAPNIARSKI Men	2.5S	2.69	—	1–1	50%	Low
PS Pam Shaffer Women	2.5C	2.69	—	0–1	0%	Low
JH Jia He Women	2.5C	2.69	▲99%3.0	5–7	42%	High
RO Rose OMalley Women	2.5C	2.68	▲100%3.0	5–11	31%	High
SS Situ Sakha Women	2.5S	2.68	—	0–1	0%	Low
JP Julianne Patrick Women	2.5A	2.68	—	0–3	0%	Low
SZ Susan Zhang Women	2.5S	2.68	▲100%3.0	0–5	0%	Med
MW Melody Wang Women	2.5C	2.68	▲100%3.0	10–14	42%	High
AC Alison Caron Women	2.5C	2.68	—	1–4	20%	Med
AV Alexandre Vauthey Men	2.5M	2.67	▲100%3.0	6–3	67%	Med
LH Lori Horne Women	2.5C	2.67	—	0–1	0%	Low
CS Clint Shannon Men	2.5S	2.67	▲100%3.0	6–3	67%	Med
CL Christine Li Women	2.5S	2.67	▲99%3.0	1–2	33%	Low
KE Kirsty Ellis Women	2.5C	2.66	▲100%3.0	4–7	36%	High
XY Xia Yang Women	2.5S	2.66	▲100%3.0	5–6	45%	High
RC Robert Claassen Men	2.5C	2.66	▲100%3.0	7–13	35%	High
MC Mary Candelario Women	2.5C	2.66	—	0–2	0%	Low
SJ Scott Johnston Men	2.5S	2.66	▲100%3.0	0–3	0%	Low
IR Ivona Rosenstein Women	2.5C	2.66	—	0–1	0%	Low
MC Matthew Chamberlin Men	2.5S	2.66	▲100%3.0	0–3	0%	Low
SH Susan Hua Women	2.5S	2.65	▲94%3.0	0–3	0%	Low
MH Muriel Holzer Women	2.5S	2.65	—	0–4	0%	Med
CG Cynthia Goldberg Women	2.5C	2.65	—	2–1	67%	Low
ZH Zinan Hu Women	2.5S	2.65	▲100%3.0	5–1	83%	Med
SV Shashank Venkata Subbaiah Men	2.5S	2.65	▲100%3.0	1–4	20%	Med
TS Tom Schroder Men	2.5S	2.65	—	0–2	0%	Low
JB Jacqueline Bender Women	2.5C	2.65	▲99%3.0	3–8	27%	High
YZ Yi Zhong Women	2.5S	2.64	—	0–4	0%	Med
TB Tianshu Begley Women	2.5S	2.64	▲98%3.0	4–4	50%	Med
KB Kimberly Butts Women	2.5C	2.64	▲100%3.0	13–6	68%	High
AD Alison Douglas Women	2.5C	2.64	▲100%3.0	4–3	57%	Med
IG Itay Gazit Men	2.5C	2.64	—	1–2	33%	Low
MB Marci Briskin Women	2.5C	2.64	▲99%3.0	15–7	68%	High
DL Douglas Lublin Men	2.5C	2.63	—	1–6	14%	Med
VB Vince Barletta Men	2.5S	2.63	—	0–2	0%	Low
OE Olivia Emerson Women	2.5C	2.63	—	2–4	33%	Med
IR Irene Ruiz Women	2.5C	2.63	—	0–3	0%	Low
AD Anne Dickey Women	2.5C	2.63	▲96%3.0	8–10	44%	High
SX Shanshan Xie Women	2.5C	2.63	▲95%3.0	9–3	75%	High
PM Pramathesh Malshe Men	2.5S	2.63	▲100%3.0	0–4	0%	Med
GK Gary Kawakita Men	2.5S	2.63	▲99%3.0	5–2	71%	Med
LC Liduvina Carreon Women	2.5S	2.63	▲99%3.0	2–2	50%	Med
JM Jennifer Mo Women	2.5S	2.63	▲99%3.0	4–5	44%	Med
SB Shree Bharathan Women	2.5S	2.63	▲99%3.0	9–14	39%	High
LC Lilia Coburn Women	2.5S	2.62	▲99%3.0	3–10	23%	High
JY Julie Young Women	2.5C	2.62	▲99%3.0	1–3	25%	Med
LH Linda Hong Women	2.5C	2.62	▲88%3.0	3–11	21%	High
AL Andreas Leypold Men	2.5C	2.62	▲99%3.0	6–14	30%	High
NM Nicole Murphy Women	2.5S	2.62	▲99%3.0	5–4	56%	Med
PC Paul Ciccarelli Men	2.5S	2.62	▲99%3.0	1–7	13%	Med
YA Yenisel Arias Women	2.5C	2.62	—	5–2	71%	Med
PT Pragya Tiwari Women	2.5S	2.62	—	0–2	0%	Low
YH Yunzhe Huang Women	2.5S	2.62	▲99%3.0	3–4	43%	Med
WC Wyatt Carlton Men	2.5C	2.62	—	2–3	40%	Med
LL Linnea Leopold Women	2.5S	2.62	▲99%3.0	2–6	25%	Med
AL Alison Littman Women	2.5C	2.62	▲99%3.0	2–7	22%	Med
NH Nicole Han Women	2.5S	2.62	▲96%3.0	2–3	40%	Med
BD Bassam Dimes Men	2.5S	2.61	▲99%3.0	1–8	11%	Med
JT Julia Tang Women	2.5C	2.61	—	1–4	20%	Med
JS Jennie Stomberg Women	2.5S	2.61	—	0–2	0%	Low
SR Sherry Ren Women	2.5C	2.61	—	1–5	17%	Med
TG Tim Gilliss Men	2.5C	2.61	—	0–3	0%	Low
sb sharon bass Women	2.5C	2.61	—	0–3	0%	Low
CW Christine Wey Women	2.5S	2.60	▲98%3.0	2–2	50%	Med
KM Kirk Martinez Men	2.5S	2.60	▲98%3.0	0–4	0%	Med
LA Laurie Amador Women	2.5C	2.60	▲97%3.0	7–3	70%	High
BL Benjamin Levine Men	2.5C	2.60	—	0–5	0%	Med
SS Soojeong Song Women	2.5C	2.60	—	3–0	100%	Low
JW Jennifer Wright Women	2.5C	2.59	▲97%3.0	2–13	13%	High
BG Brian Gant Men	2.5S	2.59	▲97%3.0	0–7	0%	Med
DH David Hiemstra Men	2.5C	2.59	▲97%3.0	2–20	9%	High
AG Alexis Gordon Women	2.5S	2.59	—	0–6	0%	Med
MK Mary Kay Riedy Women	2.5C	2.59	—	0–5	0%	Med
KP Kimberly Price Women	2.5S	2.59	▲96%3.0	8–2	80%	High
SG Shelly Garza Women	2.5C	2.59	▲96%3.0	26–14	65%	High
SL Shusheng Lu Men	2.5S	2.59	▲96%3.0	0–10	0%	High
MR Manuela Robinson Women	2.5C	2.59	▲96%3.0	14–20	41%	High
DT Dmitrii Timoshenko Men	2.5S	2.59	▲96%3.0	1–11	8%	High
SB Sue Bordelon Women	2.5C	2.59	▲96%3.0	9–11	45%	High
Dd Donzi de Souza Women	2.5C	2.58	—	1–2	33%	Low
AE Ann Easley Women	2.5C	2.58	▲95%3.0	3–9	25%	High
LC Lauren Cromwell Women	2.5S	2.58	▲95%3.0	5–3	63%	Med
MM Monica Mehta Women	2.5C	2.58	▲89%3.0	8–7	53%	High
MB Marcy Brandner Women	2.5S	2.58	▲94%3.0	0–3	0%	Low
BN Blaise Novakovic Men	2.5S	2.58	▲94%3.0	0–14	0%	High
MS Mohit Sharma Men	2.5C	2.58	▲93%3.0	6–13	32%	High
NB Noella Betkolia Women	2.5C	2.57	▲93%3.0	6–4	60%	High
MK Mina Kim Women	2.5S	2.57	▲92%3.0	9–3	75%	High
EJ Erica Jennings Women	2.5C	2.57	—	1–6	14%	Med
KF Kristie Felton Women	2.5C	2.57	▲92%3.0	10–12	45%	High
JM Julio Mendez Men	2.5C	2.57	—	1–3	25%	Med
CM Caren McDonald Women	2.5S	2.57	▲92%3.0	2–9	18%	High
LA Lillian Arvisu Women	2.5C	2.57	—	0–8	0%	Med
LP Lisa Perrizo Women	2.5S	2.57	▲91%3.0	1–4	20%	Med
MB Marley Blandori Women	2.5C	2.57	▲91%3.0	2–6	25%	Med
CP Celestina Pakel Women	2.5S	2.57	—	0–2	0%	Low
SK Sean Kerns Men	2.5S	2.57	▲91%3.0	0–3	0%	Low
EB Emily Bird Women	2.5S	2.56	▲75%3.0	0–3	0%	Low
JA Jan Askew Women	2.5C	2.56	▲88%3.0	2–11	15%	High
KG Kimberly Gonzalez Women	2.5C	2.56	▲88%3.0	23–27	46%	High
LG Laila Grassley Women	2.5C	2.56	—	0–2	0%	Low
AC Adrian Caguiat Men	2.5C	2.56	▲87%3.0	3–14	18%	High
MK Michael King Men	2.5S	2.56	▲87%3.0	2–7	22%	Med
CO Christopher O'Brien Men	2.5S	2.55	▲86%3.0	0–6	0%	Med
MW Minxin Wang Men	2.5C	2.55	—	0–7	0%	Med
AS Aleksandra Smirnova Women	2.5C	2.55	▲85%3.0	1–6	14%	Med
CC Caeti Capurro Women	2.5S	2.55	▲85%3.0	3–3	50%	Med
TC Terri Cavagnaro Women	2.5C	2.55	—	2–5	29%	Med
AS Angela Shi Women	2.5S	2.55	▲74%3.0	0–5	0%	Med
AS Aileen Shieu Women	2.5S	2.55	▲70%3.0	0–3	0%	Low
SW Shiyun Wang Women	2.5S	2.55	▲82%3.0	0–5	0%	Med
tb teri bechtle Women	2.5C	2.55	—	1–2	33%	Low
KP Kimmy Peterson Women	2.5C	2.55	—	4–6	40%	High
JJ Jeri Jones Women	2.5C	2.55	▲82%3.0	2–6	25%	Med
NR Naveen Ranu Women	2.5C	2.55	—	0–9	0%	Med
BH Babette Heyer Women	2.5C	2.54	—	2–6	25%	Med
MJ Michael Jacques Men	2.5C	2.54	—	0–6	0%	Med
JP Jennifer Paletta Women	2.5C	2.54	—	3–0	100%	Low
YY Yang Ye Women	2.5C	2.54	▲70%3.0	11–17	39%	High
SB Sally Baack Women	2.5C	2.54	▲77%3.0	8–9	47%	High

Players