Teams

Webb, Jill

2026 Combo 18 & Over-JXN · Women 6.5

12 players · average NTRP 3.40 / MISSISSIPPI

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Schedule1 played
2026-08-20vs Ramsey, NikkiLost 12
L#1 DoublesLavonne Sims / Whitney Mays vs Lauren Ingram / Amanda Carter6-7, 0-6
W#2 DoublesLI Zhou / Beverly Mann vs Brandi Hyatt / Deanna Tubbs6-2, 6-0
L#3 DoublesBeth Noland / Sage Conner vs Elizabeth Noone / Casey Hill3-6, 1-6
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 standings7 teams · Women 6.5
TeamWLInd. WInd. LSets lostGames lost
1Smith, Autumn1021226
2Ramsey, Nikki1021330
3Stewart, Kaiti000000
4Bond, Emma000000
5Webb, Jill000000
6Hodges, Martha000000
7Sykes, Joanna0112535

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 2.80 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.

3.13
Beverly Mann
usually #2 Doubles 100% · published 3.5
2.99
Julie Denton
published
2.93
Danielle David
published 3.5
2.91
Whitney Mays
usually #1 Doubles 100% · published
2.87
LI Zhou
usually #2 Doubles 100% · published
2.82
Barbie Heckenberger
published 3.5
2.81
Lavonne Sims
usually #1 Doubles 100% · published
2.74
Jill Webb
published
2.73
Allison Ruhl
published 3.5
2.63
Chase King
published 3
2.60
Lindsey Shukla
usually #1 Doubles 50%, also #3 Doubles 50% · published
2.49
Sage Conner
usually #3 Doubles 33%, also #2 Doubles 33% · 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.

Jill Webb + Barbie Heckenberger4161% games+26.1% vs expected
Whitney Mays + Danielle David7162% games+16.0% vs expected
Beverly Mann + Whitney Mays6163% games+15.3% vs expected
Sage Conner + Chase King2446% games+5.9% vs expected
Allison Ruhl + Danielle David3348% games+5.4% vs expected
Sage Conner + Jill Webb3346% games+2.7% vs expected
Jill Webb + Allison Ruhl3256% gamesnot enough data
Whitney Mays + Allison Ruhl2352% 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.

3.5
Beverly Mann
26W–16L career · 1 line in 2026
17%83%<1%
3.13
Julie Denton
15W–4L career · no lines in 2026
<1%52%48%
2.99
3.5
Danielle David
18W–7L career · no lines in 2026
70%30%<1%
2.93
Whitney Mays
30W–11L career · 1 line in 2026
<1%74%26%
2.91
LI Zhou
36W–22L career · 1 line in 2026
<1%82%18%
2.87
3.5
Barbie Heckenberger
19W–10L career · no lines in 2026
90%10%<1%
2.82
Lavonne Sims
24W–12L career · 1 line in 2026
1%90%8%
2.81
Jill Webb
28W–35L career · no lines in 2026
4%92%3%
2.74
3.5
Allison Ruhl
15W–25L career · no lines in 2026
98%2%<1%
2.73
3
Chase King
29W–26L career · no lines in 2026
18%81%<1%
2.63
Lindsey Shukla
20W–11L career · 2 lines in 2026
0%23%77%
2.60
Sage Conner
17W–23L career · 3 lines in 2026
52%48%<1%
2.49

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.