Teams

PD 4.0-3.0W 18 & Over (Rials)

2026 Adult Tri-Level 18 and over · 3.0, 3.5, 4.0 Women

13 players · average NTRP 3.00 / SOUTH CAROLINA

View scouting list →
Schedule
Flight standings3 teams · 3.0, 3.5, 4.0 Women
TeamWLInd. WInd. LSets lostGames lost
1PD 4.0-3.0W 18 & Over (Rials)4210819165
2PD18/Weinberg-Eaddy/PTC3310817139
3PD18/Overmeyer/PTC2471122157

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 2.82 estimated across 11 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.

3.31
Lola Bradshaw
published
3.31
Kell Culclasure
published
3.22
Kisha Prince
published
3.06
Ning Wharton
published
2.97
Madison Rials
usually #1 Doubles 100% · published
2.76
Laurin Gandy
usually #2 Doubles 100% · published
2.63
Teresa Cheng
usually #2 Doubles 100% · published
2.57
Misty Lee
usually #1 Doubles 67%, also #2 Doubles 33% · published
2.56
Rachel Ingram
usually #3 Doubles 50%, also #2 Doubles 50% · published
2.43
Caroline Blaker
published 3
2.19
Caitlin Kocherla
published 3
India Byrd
published
Taylor Wiley
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.

Lola Bradshaw + Kell Culclasure6455% games+7.9% vs expected
Kisha Prince + Madison Rials4171% gamesnot enough data
Misty Lee + Madison Rials224 matchesnot enough data
Kisha Prince + Kell Culclasure303 matchesnot enough data
Teresa Cheng + Ning Wharton303 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.

Lola Bradshaw
35W–35L career · no lines in 2026
<1%1%99%
3.31
Kell Culclasure
26W–17L career · no lines in 2026
<1%1%99%
3.31
Kisha Prince
31W–37L career · no lines in 2026
6%92%2%
3.22
Ning Wharton
53W–15L career · no lines in 2026
<1%33%67%
3.06
Madison Rials
27W–8L career · 4 lines in 2026
0%<1%>99%
2.97
Laurin Gandy
29W–11L career · 1 line in 2026
0%3%97%
2.76
Teresa Cheng
28W–24L career · 1 line in 2026
0%17%83%
2.63
Misty Lee
31W–43L career · 3 lines in 2026
0%30%70%
2.57
Rachel Ingram
8W–15L career · 2 lines in 2026
0%34%66%
2.56
3
Caroline Blaker
1W–6L career · type S · no lines in 2026
68%32%<1%
2.43
3
Caitlin Kocherla
2W–16L career · no lines in 2026
99%1%<1%
2.19
India Byrd
1W–4L career · no lines in 2026
not enough data
Taylor Wiley
6W–1L career · no 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.