Teams

SD LLW 4.0 Tri Moutain View/ Killeen

2022 SCTA Tri-Level Doubles Summer- SD · SD Women (4.0

13 players · average NTRP 3.71 / SAN DIEGO

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 →
Schedule8 played
2022-08-22vs SD 4.0 Tri Peninsula TC/ GamaraWon 21
W#1 DoublesMiho Nakajima / Chigusa Okubo vs Monica Folsom / Kim Latham7-6, 7-5
W#2 DoublesJulie Wunderly / Junko Toda vs Dianne Randquist / Pam Trent6-2, 6-2
L#3 DoublesJennifer Alioto Oliver / Au-Co MAI vs Carol Gamara / Charlotte Francovalle6-7, 5-7
2022-08-15vs SD 4.0 Tri SDTRC/ PeinadoWon 30
W#1 DoublesMiho Nakajima / Chigusa Okubo vs Carol Harris / Yvonne Angyal6-4, 3-6, 1-0
W#2 DoublesSakiko Tadokoro / Haruko Vajda vs Krista Losito / Cynthia Savage6-1, 6-0
W#3 DoublesJennifer Alioto Oliver / Au-Co MAI vs Kelly Wilson / Nancy Swirhun7-5, 6-4
2022-08-08vs SD 4.0 Tri SDTRC/ MonzonSplit 11
W#2 DoublesJulie Wunderly / Junko Toda vs Mary Garvey / Ana Mariela Gamiz6-7, 7-6, 1-0
L#3 DoublesMichelle VANN / Candace Gyure vs Avelina Kauffman / Sarah Schultzel4-6, 7-6, 1-0
2022-08-01vs SD WD 4.0 Tri Mountain View/ PadillaSplit 11
L#2 DoublesJunko Toda / Sakiko Tadokoro vs Brenda Villasenor / DIANA ESCALANTE6-3, 2-6, 1-0
W#3 DoublesAu-Co MAI / Jennifer Alioto Oliver vs N/A6-0, 6-0
2022-07-18vs SD 4.0 Tri Peninsula TC/ GamaraLost 01
L#3 DoublesCandace Gyure / Malinda Marsh vs Sarah Dudley / Charlotte Francovalle5-7, 6-4, 0-1
2022-07-11vs SD 4.0 Tri SDTRC/ MonzonWon 21
L#1 DoublesEmi Kanayama / Michiyo Killeen vs Carri Burns / Ashley Stone6-7, 2-6
W#2 DoublesSakiko Tadokoro / Junko Toda vs Sandy Dielman / Ana Mariela Gamiz6-2, 6-2
W#3 DoublesCandace Gyure / Michelle VANN vs Sarah Schultzel / Elizabeth Yu-Hansen6-3, 7-6
W#1 DoublesMichiyo Killeen / Emi Kanayama vs Brenda Villasenor / Bea Vega3-6, 6-2, 1-0
L#2 DoublesHaruko Vajda / Mie Bennett vs Reyna Velazquez - * / DIANA ESCALANTE3-6, 2-6
L#3 DoublesAu-Co MAI / Malinda Marsh vs Celina Tiznado / Patricia Enriquez1-6, 6-7
2022-06-20vs SD 4.0 Tri SDTRC/ PeinadoSplit 11
W#2 DoublesHaruko Vajda / Sakiko Tadokoro vs Nancy Peinado / Amy Hamric6-1, 6-1
L#3 DoublesMichelle VANN / Malinda Marsh vs Kelly Wilson / Nancy Swirhun3-6, 6-0, 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 standings for SD Women (4.0 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.41 estimated across 12 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.

4.09
Junko Toda
usually #2 Doubles 100% · published 4.5
3.88
Miho Nakajima
published 4
Chigusa Okubo
usually #1 Doubles 100% · published 4
3.69
Emi Kanayama
usually #1 Doubles 100% · published 4
3.60
Julie Wunderly
published 4
3.50
Haruko Vajda
usually #2 Doubles 100% · published 4
3.32
Michiyo Killeen
published 3.5
3.31
Michelle VANN
usually #3 Doubles 100% · published 3.5
3.29
Jennifer Alioto Oliver
usually #3 Doubles 100% · published 3.5
3.18
Mie Bennett
published
3.14
Au-Co MAI
usually #3 Doubles 100% · published 3.5
3.01
Candace Gyure
usually #3 Doubles 100% · published 3
2.88
Malinda Marsh
usually #3 Doubles 100% · published 3
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.

Jennifer Alioto Oliver + Michelle VANN14860% games+8.5% vs expected
Chigusa Okubo + Emi Kanayama251653% games−0.5% vs expected
Julie Wunderly + Junko Toda8456% games−0.7% vs expected
Miho Nakajima + Junko Toda14655% games−1.1% vs expected
Haruko Vajda + Julie Wunderly5746% gamesnot enough data
Haruko Vajda + Junko Toda8457% gamesnot enough data
Jennifer Alioto Oliver + Au-Co MAI7359% gamesnot enough data
Au-Co MAI + Michelle VANN5259% gamesnot 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.

4.5
Junko Toda
246W–88L career · 4 lines in 2022
25%75%<1%
4.09
4
Miho Nakajima
88W–36L career · no lines in 2022
<1%82%17%
3.88
4
Chigusa Okubo
55W–55L career · 2 lines in 2022
not enough data
4
Emi Kanayama
85W–63L career · 2 lines in 2022
8%92%1%
3.69
4
Julie Wunderly
60W–58L career · no lines in 2022
23%77%<1%
3.60
4
Haruko Vajda
165W–125L career · 3 lines in 2022
49%51%<1%
3.50
3.5
Michiyo Killeen
13W–20L career · no lines in 2022
1%91%9%
3.32
3.5
Michelle VANN
67W–27L career · 3 lines in 2022
1%92%7%
3.31
3.5
Jennifer Alioto Oliver
81W–61L career · 3 lines in 2022
1%93%6%
3.29
Mie Bennett
1W–4L career · no lines in 2022
9%91%1%
3.18
3.5
Au-Co MAI
67W–44L career · 4 lines in 2022
14%86%<1%
3.14
3
Candace Gyure
128W–86L career · 3 lines in 2022
<1%46%54%
3.01
3
Malinda Marsh
83W–80L career · 3 lines in 2022
<1%81%18%
2.88

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.