Teams

RRanadive (Life Time)

2022 Mixed Doubles 40 & Over League · 40 & Over Mixed 9.0 - Mon PM

10 players · average NTRP 4.50 / NORTH CAROLINA

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Schedule7 played
2022-08-08vs JGardiner (OPRC)Won 20
W#1 DoublesKaren Rocchio / Omar Punjabi vs Ravi Mujumdar / Joe-Anne Saldarini6-3, 6-4
W#3 DoublesRohan Ranadive / Kristin Verrill vs Carolyn Drake / Michael Waleski6-4, 6-1
2022-08-01vs JGardiner (OPRC)Won 20
W#1 DoublesOmar Punjabi / Karen Rocchio vs Hunt Allen / Tasha Sheehy6-1, 6-0
W#3 DoublesKristin Verrill / Duane Johnson vs N/A6-0, 6-0
2022-07-18vs JGardiner (OPRC)Lost 01
L#2 DoublesAmitabh Bhargava / Darri Thayaprasat vs Rod Spence / Tylee Kessler2-6, 5-7
2022-07-11Won 10
W#3 DoublesRohan Ranadive / Darri Thayaprasat vs N/A6-0, 6-0
2022-06-27vs JGardiner (OPRC)Won 10
W#2 DoublesRohan Ranadive / Jennifer Ko vs Ravi Mujumdar / Joe-Anne Saldarini7-5, 6-1
2022-06-13vs JGardiner (OPRC)Split 11
W#1 DoublesOmar Punjabi / Kristin Verrill vs Alan Efremoff / Ellen Smith6-1, 6-2
L#2 DoublesBecky Tennyson / Duane Johnson vs John England / Enid Randall6-1, 4-6, 0-1
2022-06-06vs JGardiner (OPRC)Split 11
L#1 DoublesAmitabh Bhargava / Becky Tennyson vs Rod Spence / Tylee Kessler4-6, 1-6
W#2 DoublesOmar Punjabi / Karen Rocchio vs Alan Efremoff / Joe-Anne Saldarini6-2, 6-0
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 40 & Over Mixed 9.0 - Mon PM 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 4.16 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.

4.29
Richard Merino
published
4.25
Amitabh Bhargava
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
4.22
Omar Punjabi
usually #1 Doubles 44%, also #3 Doubles 33% · published 4.5
4.15
Darri Thayaprasat
published 4.5
4.15
Hans Nelissen
published 4.5
4.13
Kristin Verrill
usually #3 Doubles 63%, also #1 Doubles 25% · published 4.5
4.04
Rohan Ranadive
usually #2 Doubles 50%, also #3 Doubles 33% · published 4.5
4.03
Becky Tennyson
usually #1 Doubles 50%, also #2 Doubles 50% · published 4.5
Karen Rocchio
published
Marie McDaniel
published
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.

Richard Merino
13W–6L career · no lines in 2022
1%94%5%
4.29
4.5
Amitabh Bhargava
59W–67L career · 2 lines in 2022
3%95%3%
4.25
4.5
Omar Punjabi
66W–21L career · 9 lines in 2022
5%94%2%
4.22
4.5
Darri Thayaprasat
13W–8L career · no lines in 2022
12%87%<1%
4.15
4.5
Hans Nelissen
2W–10L career · no lines in 2022
13%87%<1%
4.15
4.5
Kristin Verrill
95W–73L career · 8 lines in 2022
17%83%<1%
4.13
4.5
Rohan Ranadive
47W–23L career · type S · 6 lines in 2022
37%63%<1%
4.04
4.5
Becky Tennyson
120W–81L career · 2 lines in 2022
41%59%<1%
4.03
Karen Rocchio
4W–1L career · no lines in 2022
not enough data
Marie McDaniel
3W–1L career · no lines in 2022
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.