Teams

Selective Shankerz 2026

Mixed 18 & Over · 9.0 Mixed Doubles

24 players · average NTRP 4.45 / PHILADELPHIA

View scouting list →
Schedule8 played
2026-04-18vs TA 9.0Won 30
W#1 DoublesCrystal Xu / Jonathan Santos vs Sandy Damico / Kamala Kannan6-1, 6-4
W#2 DoublesAnita Kurimay / Christopher Sterman vs Minako Kobayashi / Craig Evans6-1, 6-0
W#3 DoublesMina Kuriashkin / Abhay Singh vs Rebecca Perkins / Christopher Chamberlain6-1, 6-2
2026-04-11vs Upper Dublin WolvesLost 12
L#1 DoublesMarina Giolas / Eric Spangler vs Lauren Park / Brandon Caban2-6, 7-6, 0-1
W#2 DoublesMina Kuriashkin / Eric Ruta vs Alexandra Mednikova / Sean McElroy3-6, 6-1, 1-0
L#3 DoublesKelly Nguyen / Abhay Singh vs Greta Koch / Corey Garnier3-6, 1-6
2026-03-14vs TA 9.0Won 30
W#1 DoublesCrystal Xu / Jonathan Santos vs Stephanie Vo / Kamala Kannan6-2, 6-3
W#2 DoublesHannah Pipkin / Hefei Liu vs Kristina Pao / Craig Evans6-4, 6-1
W#3 DoublesAisha Bhimla / Tony Deimler vs Rebecca Perkins / Chris Powell6-1, 7-6
2026-02-28vs Upper Dublin WolvesWon 21
W#1 DoublesMarina Giolas / Eric Spangler vs Greta Koch / Kai Czubryt-Ogino6-4, 6-4
L#2 DoublesHannah Pipkin / Henry Kim vs Lauren Park / Brandon Caban3-6, 2-6
W#3 DoublesKelly Nguyen / Eric Ruta vs Elise Gerdes / Jesse Cowart4-6, 6-2, 1-0
2026-02-12vs TA 9.0Won 21
L#1 DoublesYukako Noi / Ronald Siggs vs Stephanie Vo / Kamala Kannan4-6, 6-4, 0-1
W#2 DoublesMarina Giolas / Eric Spangler vs Amanda Laskowski / Craig Evans6-2, 6-2
W#3 DoublesMina Kuriashkin / Taimi Ando vs Sandy Damico / Marius Pion6-1, 6-2
2026-01-16vs Upper Dublin WolvesWon 30
W#1 DoublesAnita Kurimay / Hefei Liu vs Greta Koch / Corey Garnier6-3, 6-2
W#2 DoublesRonald Siggs / Yukako Noi vs Kyle Carmona / Shana Smith7-5, 5-7, 1-0
W#3 DoublesChristopher Sterman / Jennifer Pao vs Bruce Leto / Alexandra Mednikova7-5, 6-2
2025-12-20vs TA 9.0Won 30
W#1 DoublesAnita Kurimay / Hefei Liu vs Rebecca Perkins / Kamala Kannan6-2, 6-4
W#2 DoublesMina Kuriashkin / Tony Deimler vs Brooke Bowen / Roberto Calderon6-3, 6-2
W#3 DoublesJennifer Pao / Bob Kothari vs Stephanie Vo / Chris Powell7-6, 6-2
2025-12-06vs Upper Dublin WolvesLost 03
L#1 DoublesTony Deimler / Aisha Bhimla vs Colin Ligon / Shana Smith3-6, 6-7
L#2 DoublesJacob Parfianowicz / Mina Kuriashkin vs Sean McElroy / Alexandra Mednikova3-6, 2-6
L#3 DoublesBob Kothari / Abigail Caddick vs Jesse Cowart / Elise Gerdes5-7, 6-4, 0-1
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 standings2 teams · 9.0 Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1Selective Shankerz 20260817717184
2TA 9.00842041263

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 4.25 estimated across 22 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.

5.02
Anita Kurimay
usually #1 Doubles 86%, also #2 Doubles 14% · published 5
5.00
Eric Spangler
usually #2 Doubles 67%, also #1 Doubles 33% · published 5
4.80
Jennifer Pao
usually #3 Doubles 100% · published
4.79
Hannah Pipkin
usually #2 Doubles 50%, also #1 Doubles 42% · published 5
4.44
Abigail Caddick
usually #3 Doubles 100% · published 5
4.38
Abhay Singh
usually #3 Doubles 100% · published 4.5
4.31
Mina Kuriashkin
usually #2 Doubles 60%, also #3 Doubles 40% · published
4.30
Tony Deimler
usually #1 Doubles 33%, also #2 Doubles 33% · published 4.5
4.29
Aisha Bhimla
usually #3 Doubles 50%, also #1 Doubles 50% · published 4.5
4.29
Crystal Xu
usually #3 Doubles 50%, also #1 Doubles 50% · published 4.5
4.28
Taimi Ando
usually #2 Doubles 50%, also #3 Doubles 50% · published 4.5
4.27
Jacob Parfianowicz
usually #2 Doubles 67%, also #3 Doubles 33% · published 4.5
Carly Martinson
published 4.5
4.22
Eric Ruta
usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5
4.16
Jonathan Santos
usually #1 Doubles 100% · published
4.12
Christopher Sterman
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
4.02
Bob Kothari
usually #3 Doubles 100% · published 4.5
3.96
Hefei Liu
usually #1 Doubles 88%, also #2 Doubles 13% · published 4
3.92
Henry Kim
usually #1 Doubles 67%, also #2 Doubles 22% · published 4
3.78
Marina Giolas
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.78
Indrajeet Joglekar
usually #3 Doubles 33%, also #1 Doubles 33% · published 4
3.72
Ronald Siggs
usually #2 Doubles 50%, also #1 Doubles 50% · published
3.60
Hal Perlman
published 4
Yukako Noi
usually #2 Doubles 50%, also #1 Doubles 50% · published
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.

Taimi Ando + Mina Kuriashkin6159% gamesnot enough data
Henry Kim + Hannah Pipkin5262% gamesnot enough data
Yukako Noi + Ronald Siggs3253% gamesnot enough data
Hal Perlman + Mina Kuriashkin3255% gamesnot enough data
Marina Giolas + Eric Spangler213 matchesnot enough data
Carly Martinson + Jonathan Santos303 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.

5
Anita Kurimay
59W–10L career · 7 lines in 2026
<1%45%55%
5.02
5
Eric Spangler
21W–8L career · 6 lines in 2026
<1%50%50%
5.00
Jennifer Pao
56W–33L career · 5 lines in 2026
1%92%7%
4.80
5
Hannah Pipkin
39W–47L career · 12 lines in 2026
1%94%5%
4.79
5
Abigail Caddick
14W–5L career · 1 line in 2026
67%33%<1%
4.44
4.5
Abhay Singh
71W–18L career · 2 lines in 2026
<1%82%17%
4.38
Mina Kuriashkin
107W–58L career · 5 lines in 2026
1%92%7%
4.31
4.5
Tony Deimler
104W–62L career · 3 lines in 2026
1%92%7%
4.30
4.5
Aisha Bhimla
26W–19L career · 2 lines in 2026
1%93%6%
4.29
4.5
Crystal Xu
3W–1L career · type S · 4 lines in 2026
1%94%5%
4.29
4.5
Taimi Ando
164W–65L career · 2 lines in 2026
2%94%5%
4.28
4.5
Jacob Parfianowicz
11W–3L career · type M · 3 lines in 2026
2%94%4%
4.27
4.5
Carly Martinson
5W–4L career · type M · no lines in 2026
not enough data
4.5
Eric Ruta
66W–38L career · 2 lines in 2026
4%94%2%
4.22
Jonathan Santos
74W–27L career · 2 lines in 2026
11%88%<1%
4.16
4
Christopher Sterman
89W–33L career · 2 lines in 2026
<1%18%82%
4.12
4.5
Bob Kothari
21W–10L career · 2 lines in 2026
44%56%<1%
4.02
4
Hefei Liu
24W–4L career · 8 lines in 2026
<1%62%38%
3.96
4
Henry Kim
59W–37L career · 9 lines in 2026
<1%72%28%
3.92
4
Marina Giolas
185W–151L career · 3 lines in 2026
2%94%5%
3.78
4
Indrajeet Joglekar
34W–10L career · 3 lines in 2026
2%94%4%
3.78
Ronald Siggs
38W–64L career · 2 lines in 2026
4%94%2%
3.72
4
Hal Perlman
59W–25L career · no lines in 2026
23%77%<1%
3.60
Yukako Noi
6W–2L career · 4 lines in 2026
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.