Teams

FC-Scorpions-Calpe

2022 Mixed 40 & Over · 7.0

13 players · average NTRP 3.33 / NORTHWEST WASHINGTON

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Schedule7 played
2022-08-13vs TCSP-Double Trouble-ArronWon 21
L#1 DoublesKhue Tran / U Yi vs Brian MacDuff / Kirsten Graham1-6, 6-7
W#2 DoublesJessica Price / Ramon Calpe vs Pam MacDuff / Young Lee6-4, 6-3
W#3 DoublesNancy Burdyshaw / Hilario Koyama vs Beth Mullin / James Williams7-5, 4-2
2022-07-31vs EDG-Fun-JuhnLost 12
L#1 DoublesBala Pedapalli / Khue Tran vs Ticson MacH / Noriko Kilambi3-6, 0-6
L#2 DoublesNancy Burdyshaw / Hilario Koyama vs Bing Li / Qi Geng4-6, 3-6
W#3 DoublesRobert Balen / Teresa Cueto vs Jack Young / Teresa MacH6-1, 6-3
2022-07-23vs CP-BoutonWon 30
W#1 DoublesMiguel Beltran / TRANG TRAN vs Scott Skorupa / Carol Buckingham6-3, 6-1
W#2 DoublesBala Pedapalli / Khue Tran vs Robert Bengford / Joanna Bengford3-6, 7-6, 1-0
W#3 DoublesHilario Koyama / Nancy Burdyshaw vs Kamal Elkhadiri / Laura Young6-3, 3-6, 1-0
2022-07-16vs BELL-Mixed Up'Hamsters-HarwoodLost 12
W#1 DoublesMiguel Beltran / TRANG TRAN vs Jaret Hauge / Jena Wahl6-3, 6-4
L#2 DoublesRamon Calpe / Khue Tran vs Bohdanna Shmotolokha / Douglas Drake6-7, 7-6, 0-1
L#3 DoublesHilario Koyama / Nancy Burdyshaw vs Ira Hyman / Maria Krzysiek2-6, 1-6
2022-07-09vs AYTC-This is 40-Love-PadillaWon 21
W#1 DoublesMiguel Beltran / TRANG TRAN vs Jerry Verhoff / Kelly Thompson6-0, 6-0
L#2 DoublesMatthew Metz / Khue Tran vs Dustin Schmidt / Cynthia Padilla5-7, 4-6
W#3 DoublesBala Pedapalli / Nancy Burdyshaw vs Rebecca Clements / Joseph Lam7-5, 6-1
2022-06-26vs PSC-Zhang/MuLost 03
L#1 DoublesTRANG TRAN / Miguel Beltran vs Heidi Richter / Zheng Mu2-6, 6-4, 0-1
L#2 DoublesJessica Price / Robert Balen vs Shu Scott / Matt Neerincx6-3, 2-6, 1-0
L#3 DoublesU Yi / Hwayun Lee vs Lingqing Wang / Zhouxuan Teng6-3, 2-6, 0-1
2022-06-18vs HBSQ-FurmanLost 12
W#1 DoublesMatthew Metz / Donnie North vs Belinda Leung / Jack Crose6-4, 6-4
L#2 DoublesTeresa Cueto / Robert Balen vs Scott Combs / KC Mattingly-Nelson0-6, 3-6
L#3 DoublesRamon Calpe / Khue Tran vs Richard Furman / Ling Wu3-6, 2-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.
Flight standings30 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1HBSQ-Furman70201390
2PL-Samma Mish Mashers-Escalona701838130
3FC-Ball Busters-Mar7016513156
4PSC-Song/Zhu 7.06118311154
5CAC/SL-Brohams-Wanat6116512161
6WSC-Azure-Popoaei6115614147
7MI-Bertram6117415167
8TCSP-tennis crush-Wickham5215615172
9PSC-Zhang/Mu5215615153
10CAC/SL-All Mixed Up-Agarwal5214717177
11EDG-Fun-Juhn52111023184
12EDG-Netsetters-Gliner4312921187
13TCSP-Fast and the 40+ Nguyen43111021177
14CP-Doubles Trouble-Han43111022160
15FC-Scorpions-Calpe34101124194
16BELL-Mixed Up'Hamsters-Harwood3491227212
17BC-Lee/Camara3481329207
18TCSP-Bursiek3471430214
19CP-Key in Bowl-Chen2471124173
20BETC-Kean/Shutt 7.02591224193
21CP-Cloud Warriors-Viriththamulla2581331209
22EDG-Namba 7.02571431226
23RTC-Mixed Madness 40+ Hansberry2571432234
24PL-Carter2571433216
25MI-Double Shot-Holland2541735226
26TCSP-Double Trouble-Arron1661534236
27AYTC-It's Not Racquet Science-Chow0631531200
28WSC-Love All-Whitney0761532217
29AYTC-This is 40-Love-Padilla0751633231
30BTA-Tennis Jam-Cecil-Moore0721938235

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.03 estimated across 10 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

TRANG TRAN
usually #1 Doubles 100% · published 4
3.38
Matthew Metz
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.31
Miguel Beltran
usually #1 Doubles 100% · published 3.5
3.30
Hwayun Lee
usually #3 Doubles 100% · published 3.5
Bala Pedapalli
usually #3 Doubles 33%, also #2 Doubles 33% · published 3.5
3.11
Nancy Burdyshaw
usually #3 Doubles 80%, also #2 Doubles 20% · published 3.5
3.10
Hilario Koyama
usually #3 Doubles 75%, also #2 Doubles 25% · published 3.5
2.89
Ramon Calpe
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
2.88
Khue Tran
usually #2 Doubles 50%, also #1 Doubles 33% · published 3
2.81
U Yi
usually #3 Doubles 40%, also #1 Doubles 40% · published 3
2.80
Jessica Price
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
2.67
Teresa Cueto
usually #2 Doubles 75%, also #3 Doubles 25% · published 3
Donnie North
usually #1 Doubles 100% · published 0
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Khue Tran + Miguel Beltran3543% games+5.6% vs expected
Hilario Koyama + Nancy Burdyshaw61044% games−4.6% vs expected
Hwayun Lee + U Yi3937% games−5.0% vs expected
TRANG TRAN + Miguel Beltran4163% gamesnot enough data
Ramon Calpe + Jessica Price224 matchesnot enough data
Teresa Cueto + U Yi134 matchesnot enough data
Nancy Burdyshaw + Miguel Beltran213 matchesnot enough data
Jessica Price + Miguel Beltran123 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

4
TRANG TRAN
85W–60L career · 4 lines in 2022
not enough data
3.5
Matthew Metz
86W–42L career · 2 lines in 2022
<1%81%18%
3.38
3.5
Miguel Beltran
124W–89L career · 6 lines in 2022
1%92%7%
3.31
3.5
Hwayun Lee
96W–92L career · 1 line in 2022
1%93%6%
3.30
3.5
Bala Pedapalli
28W–30L career · 3 lines in 2022
not enough data
3.5
Nancy Burdyshaw
98W–98L career · 5 lines in 2022
19%81%<1%
3.11
3.5
Hilario Koyama
44W–85L career · 4 lines in 2022
22%78%<1%
3.10
3
Ramon Calpe
75W–109L career · 3 lines in 2022
<1%79%21%
2.89
3
Khue Tran
64W–109L career · 6 lines in 2022
<1%81%19%
2.88
3
U Yi
26W–48L career · 5 lines in 2022
1%92%8%
2.81
3
Jessica Price
43W–84L career · 6 lines in 2022
1%93%6%
2.80
3
Teresa Cueto
77W–119L career · 8 lines in 2022
9%90%1%
2.67
0
Donnie North
34W–20L career · 1 line in 2022
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.