Teams

9.0 PTC VanderG X18S

2022 SPRING Mixed 18 & Over - CAZ · 9.0 Mixed 18 & Over

13 players · average NTRP 4.60 / CENTRAL ARIZONA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule12 played
2022-04-21vs 9.0 KIW TwoWings X18SLost 12
L#1 DoublesVirginia van der Geest / Noah Axelrod vs Mahinalani Wing / Trent Calleja1-6, 6-2, 1-0
W#2 DoublesKristy Miller / Diego Samaniego vs Alex Dunning / Julie Meidam7-6, 7-6
L#3 DoublesVanessa Bennett / Todd Snow vs Kelly Peterich / Amanda Moore5-7, 1-6
2022-04-14vs 9.0 PTC Antoniou X18SWon 21
W#1 DoublesCindy Blair / Noah Axelrod vs Nikolina Vukadin / Varun Sathyanarayan6-3, 6-3
L#2 DoublesAditya Sharma / Christina Chai vs Jason Snider / Heidi Sutter3-6, 1-6
W#3 DoublesOscar Lam / Vanessa Bennett vs Kate Moore / George Antoniou6-1, 7-5
2022-04-07vs PHX/BergSACATAC/18MXD/9.0XDWon 21
W#1 DoublesDiego Samaniego / Cindy Blair vs Gregory Hing / Alexandra Gino7-5, 7-5
L#2 DoublesChristina Chai / Kevin McMahon vs Brittany Robinson / Kyle Hicks5-7, 2-6
W#3 DoublesNoah Axelrod / Virginia van der Geest vs Lindsay Kelso / Jonathan Gutierrez6-4, 2-6, 1-0
2022-03-31vs 9.0 PTC RhodenBiddle X18SWon 30
W#1 DoublesVirginia van der Geest / Noah Axelrod vs Beth Understahl / Scott Hoffecker6-4, 6-2
W#2 DoublesKevin McMahon / Tammy Anderson vs Stephen Kirklin / Amy Rhoden6-1, 6-0
W#3 DoublesOscar Lam / Cindy Blair vs Alex Rosen / Julie Stelse7-5, 7-5
2022-03-24vs 9.0 PTC Mendoza X18SWon 30
W#1 DoublesKristy Miller / Noah Axelrod vs Sharon Landrum / Kyle Landrum6-2, 6-4
W#2 DoublesChristina Chai / Kevin McMahon vs Craig Abney / Stephanie Christensen6-0, 6-0
W#3 DoublesHelen Filby / Oscar Lam vs Lynette Larsen / Derek Seibert6-3, 7-5
2022-03-17vs 9.0 MTC RivasCarlsen X18SWon 20
W#1 DoublesVirginia van der Geest / Noah Axelrod vs Shelby Payne / Carlos Rivas6-3, 6-3
W#2 DoublesTammy Anderson / Aditya Sharma vs Christine O'Hayre-Runnels / Trenton Jones6-2, 6-3
2022-02-17vs 9.0 PTC Antoniou X18SLost 12
L#1 DoublesOscar Lam / Virginia van der Geest vs Peter Gladkin / Nikolina Vukadin5-7, 4-6
W#2 DoublesKevin McMahon / Christina Chai vs Jason Snider / Heidi Sutter3-6, 6-1, 1-0
L#3 DoublesTammy Anderson / Todd Snow vs George Antoniou / Kate Moore7-5, 5-7, 0-1
2022-02-10vs PHX/BergSACATAC/18MXD/9.0XDLost 12
L#1 DoublesNoah Axelrod / Virginia van der Geest vs Jonathan Gutierrez / Brittany Robinson7-5, 3-6, 1-0
L#2 DoublesKevin McMahon / Christina Chai vs Naveen Mathew / Haily Morgan6-1, 6-7, 0-1
W#3 DoublesDiego Samaniego / Cindy Blair vs Varesh Chaurasia / Kristin Morgan6-2, 2-6, 1-0
2022-02-03vs 9.0 PTC RhodenBiddle X18SWon 21
W#1 DoublesVirginia van der Geest / Noah Axelrod vs Beth Kaper / Chad Clark2-6, 6-1, 1-0
L#2 DoublesKristy Miller / Diego Samaniego vs Dennis Lysenka / Julie Stelse5-7, 1-6
W#3 DoublesChristina Chai / Aditya Sharma vs Scott Hoffecker / Jacqui Richardson6-3, 6-3
2022-01-27vs 9.0 PTC Mendoza X18SWon 21
L#1 DoublesTodd Snow / Vanessa Bennett vs Michelle Pacione / Derek Seibert2-6, 3-6
W#2 DoublesOscar Lam / Tammy Anderson vs Kyle Landrum / Sharon Landrum3-6, 6-2, 1-0
W#3 DoublesAditya Sharma / Helen Filby vs Craig Abney / Lynette Larsen6-3, 6-0
2022-01-20vs 9.0 MTC RivasCarlsen X18SWon 30
W#1 DoublesVirginia van der Geest / Noah Axelrod vs Andrea Urlaub / James Urlaub6-2, 6-2
W#2 DoublesChristina Chai / Kevin McMahon vs Carlos Rivas / Amaris Surmacz6-1, 6-1
W#3 DoublesCindy Blair / Todd Snow vs Trenton Jones / Dawn Schuerkamp5-7, 6-4, 1-0
2022-01-13vs 9.0 KIW TwoWings X18SWon 21
W#1 DoublesDiego Samaniego / Kristy Miller vs Alex Dunning / Tien Tran6-2, 7-5
W#2 DoublesVanessa Bennett / Kevin McMahon vs Meghan Houk / Thomas Bieksha6-1, 6-4
L#3 DoublesOscar Lam / Tammy Anderson vs Keith Williams / Amanda Moore6-3, 2-6, 1-0
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 standings7 teams · 9.0 Mixed 18 & Over
TeamWLInd. WInd. LSets lostGames lost
1PHX/BergSACATAC/18MXD/9.0XD7322821218
29.0 PTC VanderG X18S73191127252
39.0 PTC Antoniou X18S64171329266
49.0 KIW TwoWings X18S64171332263
59.0 PTC RhodenBiddle X18S46102043309
69.0 MTC RivasCarlsen X18S000000
79.0 PTC Mendoza X18S01052551335

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 4.06 estimated across 7 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.

4.79
Noah Axelrod
usually #1 Doubles 89%, also #3 Doubles 11% · published
Christina Chai
usually #2 Doubles 86%, also #3 Doubles 14% · published 5
Diego Samaniego
usually #1 Doubles 40%, also #2 Doubles 40% · published 5
4.14
Cindy Blair
usually #3 Doubles 50%, also #1 Doubles 40% · published 4.5
4.07
Aditya Sharma
usually #2 Doubles 43%, also #3 Doubles 29% · published 4.5
4.01
Virginia van der Geest
usually #1 Doubles 77%, also #2 Doubles 15% · published
3.93
Helen Filby
usually #3 Doubles 100% · published 4
3.91
Todd Snow
usually #3 Doubles 50%, also #2 Doubles 33% · published
3.58
Kristy Miller
usually #1 Doubles 46%, also #2 Doubles 36% · published
Kevin McMahon
usually #2 Doubles 100% · published
Oscar Lam
usually #3 Doubles 39%, also #1 Doubles 31% · published
Todd Hoeder
usually #1 Doubles 100% · published
Vanessa Bennett
usually #3 Doubles 50%, also #2 Doubles 25% · 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.

Noah Axelrod + Virginia van der Geest321159% games+10.8% vs expected
Diego Samaniego + Kristy Miller6548% gamesnot enough data
Noah Axelrod + Kristy Miller9167% gamesnot enough data
Christina Chai + Kevin McMahon5461% gamesnot enough data
Todd Snow + Cindy Blair2544% gamesnot enough data
Virginia van der Geest + Aditya Sharma4153% gamesnot enough data
Oscar Lam + Cindy Blair224 matchesnot enough data
Todd Snow + Vanessa Bennett123 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.

Noah Axelrod
82W–27L career · 9 lines in 2022
1%94%5%
4.79
5
Christina Chai
30W–10L career · 7 lines in 2022
not enough data
5
Diego Samaniego
35W–14L career · 5 lines in 2022
not enough data
4.5
Cindy Blair
100W–69L career · 10 lines in 2022
14%85%<1%
4.14
4.5
Aditya Sharma
141W–99L career · 7 lines in 2022
29%71%<1%
4.07
Virginia van der Geest
125W–109L career · 13 lines in 2022
47%53%<1%
4.01
4
Helen Filby
135W–136L career · 2 lines in 2022
<1%70%30%
3.93
Todd Snow
85W–81L career · 6 lines in 2022
76%24%<1%
3.91
Kristy Miller
266W–228L career · 11 lines in 2022
28%72%<1%
3.58
Kevin McMahon
16W–8L career · 7 lines in 2022
not enough data
Oscar Lam
29W–8L career · 13 lines in 2022
not enough data
Todd Hoeder
0W–2L career · 1 line in 2022
not enough data
Vanessa Bennett
52W–64L career · 4 lines 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.