Teams

KTC Parks

2023 OH OV FALL 40&O Mixed · FALL 40&O 6.0MXD

14 players · average NTRP 3.20 / OHIO VALLEY

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 →
Schedule5 played
2023-01-14vs QRRC BoykinSplit 11
W#1 DoublesRajeev Goel / Shilpa Goel vs Joseph Rothstein / Deidra Boykin6-4, 3-6, 1-0
L#2 DoublesMark Smallwood / Casey Gill vs Jeff Stewart / Jenah Bartek3-6, 1-3
2023-01-06vs QRRC BoykinLost 01
L#3 DoublesDaryl Parks / Bianca Riley vs Jeff Stewart / Jenah Bartek2-6, 2-6
2022-12-17vs QRRC BoykinSplit 11
L#2 DoublesRamzi Nahhas / Laura Horn vs Joseph Rothstein / Zina Williams2-6, 2-6
W#3 DoublesDaryl Parks / Shilpa Goel vs Thomas Chillinsky / Mary Miller6-4, 7-6
2022-12-10vs QRRC BoykinWon 21
L#1 DoublesDaryl Parks / Casey Gill vs Stephen Ward / Nancy Eben6-7, 7-6, 0-1
W#2 DoublesRamzi Nahhas / Sonja Smallwood vs Greg Enslen / Jenah Bartek5-7, 6-2, 1-0
W#3 DoublesRajeev Goel / Shilpa Goel vs Thomas Chillinsky / Mary Miller3-6, 6-3, 1-0
2022-09-30vs QRRC BoykinWon 10
W#3 DoublesDaryl Parks / Shilpa Goel vs Greg Enslen / Zina Williams6-1, 6-3
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 standings2 teams · FALL 40&O 6.0MXD
TeamWLInd. WInd. LSets lostGames lost
1QRRC Boykin4210819150
2KTC Parks2481025187

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 2.96 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
Rajeev Goel
usually #1 Doubles 63%, also #3 Doubles 25% · published
3.27
Richard Pickrel
usually #3 Doubles 50%, also #1 Doubles 50% · published
3.22
Daryl Parks
usually #3 Doubles 78%, also #1 Doubles 22% · published 3.5
3.12
Deborah Whitcomb
usually #1 Doubles 83%, also #2 Doubles 17% · published 3.5
2.96
Mark Smallwood
usually #2 Doubles 80%, also #1 Doubles 20% · published
2.92
Casey Gill
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.89
Dave Moravek
usually #1 Doubles 60%, also #2 Doubles 20% · published 3
2.89
Sonja Smallwood
usually #2 Doubles 60%, also #3 Doubles 40% · published
2.77
Johnna Chamberlain
usually #2 Doubles 50%, also #1 Doubles 50% · published
2.63
Bianca Riley
usually #3 Doubles 100% · published 3
2.55
Ramzi Nahhas
usually #2 Doubles 100% · published
Laura Horn
usually #2 Doubles 100% · published
Shilpa Goel
usually #3 Doubles 75%, also #1 Doubles 25% · published
Will Allen
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.

Deborah Whitcomb + Dave Moravek10261% games+9.7% vs expected
Rajeev Goel + Shilpa Goel4445% games+7.8% vs expected
Deborah Whitcomb + Rajeev Goel8651% games+6.1% vs expected
Johnna Chamberlain + Rajeev Goel10852% games+3.1% vs expected
Laura Horn + Daryl Parks2944% games−5.4% vs expected
Sonja Smallwood + Mark Smallwood151549% games−13.1% vs expected
Daryl Parks + Shilpa Goel314 matchesnot enough data
Johnna Chamberlain + Ramzi Nahhas224 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.

Rajeev Goel
143W–116L career · 8 lines in 2023
1%92%7%
3.31
Richard Pickrel
82W–88L career · 2 lines in 2023
2%94%4%
3.27
3.5
Daryl Parks
56W–109L career · 9 lines in 2023
5%94%2%
3.22
3.5
Deborah Whitcomb
156W–182L career · 6 lines in 2023
18%82%<1%
3.12
Mark Smallwood
57W–48L career · 5 lines in 2023
<1%61%39%
2.96
3
Casey Gill
87W–48L career · 2 lines in 2023
<1%74%26%
2.92
3
Dave Moravek
79W–33L career · 5 lines in 2023
<1%79%21%
2.89
Sonja Smallwood
138W–119L career · 5 lines in 2023
<1%79%21%
2.89
Johnna Chamberlain
64W–115L career · 2 lines in 2023
2%94%4%
2.77
3
Bianca Riley
37W–38L career · 1 line in 2023
15%84%<1%
2.63
Ramzi Nahhas
32W–38L career · 2 lines in 2023
36%64%<1%
2.55
Laura Horn
37W–39L career · 1 line in 2023
not enough data
Shilpa Goel
38W–37L career · 4 lines in 2023
not enough data
Will Allen
19W–22L career · no lines in 2023
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.