Teams

Bullock - TBD

Sandhills Mixed 55 & Over · 4.0 55 & Over Mixed Doubles

9 players · average NTRP 4.00 / NORTH CAROLINA

View scouting list →
Schedule3 played
2026-07-12vs Dinkins - Lawn and TennisSplit 11
L#1 DoublesBerry Bullock / Lakshmi Gordon vs Tim Boyte / Laura Davidson3-6, 6-3, 0-1
W#2 DoublesJohn Peterson / Mary Tatum vs Wade Jackson / Nannette Goodwin7-6, 7-5
2026-07-11vs Dinkins - Lawn and TennisWon 21
W#1 DoublesBerry Bullock / Lakshmi Gordon vs Tim Boyte / Nannette Goodwin6-0, 6-3
L#2 DoublesJohn Peterson / Mary Tatum vs Wade Jackson / Joy Martin4-6, 5-7
W#3 DoublesReginald Cooper / Doris Smith vs Todd Brandon / Laura Davidson6-4, 1-6, 1-0
2026-07-11vs Dinkins - Lawn and TennisLost 12
L#1 DoublesBerry Bullock / Lakshmi Gordon vs Wade Jackson / Nannette Goodwin6-1, 3-6, 0-1
L#2 DoublesJitendra Patel / Doris Smith vs Tim Boyte / Joy Martin2-6, 6-3, 1-0
W#3 DoublesReginald Cooper / Erika Harris vs Todd Brandon / Heidi Stevens6-3, 6-2
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 · 4.0 55 & Over Mixed Doubles
TeamWLInd. WInd. LSets lostGames lost
1Dinkins - Lawn and Tennis21541182
2Bullock - TBD12451181

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 3.67 estimated across 7 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.

3.87
Berry Bullock
usually #1 Doubles 100% · published 4
3.83
Lakshmi Gordon
usually #1 Doubles 100% · published 4
3.76
Reginald Cooper
usually #3 Doubles 100% · published
3.69
Mary Tatum
usually #2 Doubles 100% · published
3.61
Erika Harris
usually #3 Doubles 100% · published
3.50
Doris Smith
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.46
Anneliese Carr
published 4
Jitendra Patel
usually #2 Doubles 100% · published
John Peterson
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.

Berry Bullock + Lakshmi Gordon5362% gamesnot enough data
Mary Tatum + John Peterson033 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.

4
Berry Bullock
18W–12L career · 3 lines in 2026
<1%82%18%
3.87
4
Lakshmi Gordon
45W–49L career · 3 lines in 2026
1%88%11%
3.83
Reginald Cooper
63W–53L career · 2 lines in 2026
3%93%4%
3.76
Mary Tatum
12W–11L career · 2 lines in 2026
9%90%1%
3.69
Erika Harris
29W–24L career · 1 line in 2026
22%78%<1%
3.61
Doris Smith
23W–6L career · 2 lines in 2026
<1%<1%>99%
3.50
4
Anneliese Carr
87W–100L career · no lines in 2026
62%38%<1%
3.46
Jitendra Patel
0W–1L career · 1 line in 2026
not enough data
John Peterson
0W–3L 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.