Teams

Mid-Court Crisis/Liles/Oakley

2026 Tri-Level 3.0 · 3.5

8 players · average NTRP 3.50 / NO. CALIFORNIA

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Schedule3 played
2026-03-21vs Smash Sisters/Fischer/NapaLost 01
L#3 DoublesKaren Bibel / Carla Nicolicchia vs Kristi Kaiser / Kristi Sanders4-6, 0-6
2026-03-21vs Savvy Strikers/Parekh/Menlo ParkWon 10
W#3 DoublesSue Burns / Carla Nicolicchia vs Carole Borie / Victoria Thorp6-4, 6-4
2026-03-20vs The Waves/Gee/Half Moon BayLost 01
L#3 DoublesSue Burns / Carla Nicolicchia vs Kaori Asakawa / Lan Wang4-6, 3-6
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 standings15 teams · 3.5
TeamWLInd. WInd. LSets lostGames lost
1Lucky Girls/Chen/Saratoga40111586
2Wild Things/Barnacascel/Walnut Creek40102587
3Get em Girls/Jacob/Marin4093889
4Smash Sisters/Fischer/Napa318412115
5Gandalicious Team!/Regal/Bay Point227511101
6Powerhouse/Kendeva/Fremont227512106
7We ball no CAP!/Logan/Oakland227512112
8The Waves/Gee/Half Moon Bay227513112
9Grip it Rip its/Klein/Marin225715100
10Tri-Hards/Krueger/Danville134816113
11Court Queens/Parise/Sunnyvale134816127
12Mid-Court Crisis/Liles/Oakley134818138
13Net Gains/Myers/San Francisco133918120
14Vintage Volleyers/DeBord/Napa133919137
15Savvy Strikers/Parekh/Menlo Park0411123139

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 3.22 estimated across 8 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.

3.65
3.48
3.44
Tracie Cacciatore
published
3.33
Ruby Sioson
published
3.07
Jane Liles
published
3.03
Sue Burns
published
2.94
Karen Bibel
published
2.81
Carla Nicolicchia
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.

Christina Fleming + Wendy Alvarado-Zheng2344% games−4.6% vs expected
Sue Burns + Carla Nicolicchia224 matchesnot enough data
Ruby Sioson + Tracie Cacciatore213 matchesnot enough data
Sue Burns + Karen Bibel123 matchesnot enough data
Karen Bibel + Carla Nicolicchia033 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.

Wendy Alvarado-Zheng
109W–53L career · no lines in 2026
15%84%1%
3.65
4
Christina Fleming
31W–31L career · no lines in 2026
55%45%<1%
3.48
Tracie Cacciatore
67W–83L career · no lines in 2026
68%32%<1%
3.44
Ruby Sioson
14W–24L career · no lines in 2026
1%88%11%
3.33
Jane Liles
5W–22L career · no lines in 2026
31%69%<1%
3.07
Sue Burns
25W–22L career · no lines in 2026
<1%42%58%
3.03
Karen Bibel
11W–19L career · no lines in 2026
<1%67%33%
2.94
3
Carla Nicolicchia
14W–24L career · 3 lines in 2026
1%90%9%
2.81

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.