Teams

Cross Court: Go For Broke II

2022 40&Over Mixed · 6.0

21 players · average NTRP 3.18 / SOUTHERN REGION

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 →
Schedule3 played
2022-07-09vs Taconic: Iconic TaconicsWon 21
L#1 DoublesErwin Watson / Hairong Xing vs David Gatta / Hillary Salo0-6, 3-6
W#2 DoublesMarc Alston / Christina Bookless vs Melissa Glass / Brian McKenna6-3, 6-2
W#3 DoublesKelly Alston / Donald Marks vs Victoria Dunning / Christopher Rand6-1, 6-1
2022-06-29vs Break Point Tennis - AWon 21
W#1 DoublesDiana Regini / Roger Delbue vs Dan Stone / Tina Guida6-3, 6-4
W#2 DoublesKelly Maloney / Marc Alston vs Eva Lopez-Salinero / Spike Vrusho6-0, 3-0
L#3 DoublesChristine Casey-Charter / Joe Goldsmith vs Brian Tsai / Jacquelyn Arsenuk1-6, 5-7
2022-06-18vs Break Point Tennis - 1Won 30
W#1 DoublesChristina Bookless / Erwin Watson vs Lynne Maggio / Carl Zatz6-0, 6-0
W#2 DoublesDiana Regini / Kirk Allen vs Kim Cantine / David Held6-0, 6-1
W#3 DoublesChristine Casey-Charter / Gregory Lenyszyn vs Lachele Coninx-Wiley / Robert Stone6-0, 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 standings4 teams · 6.0
TeamWLInd. WInd. LSets lostGames lost
1Cross Court: Go For Broke II2051221
2Break Point Tennis - A1142435
3Taconic: Iconic Taconics000000
4Break Point Tennis - 102061272

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 2.99 estimated across 16 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.

3.37
Eric Foret
usually #3 Doubles 100% · published 3.5
3.31
Marc Alston
usually #2 Doubles 100% · published
3.27
Roger Delbue
usually #1 Doubles 100% · published
David Ballantyne
usually #3 Doubles 100% · published 3.5
3.21
Hairong Xing
usually #1 Doubles 100% · published 3.5
3.20
Christine Casey-Charter
usually #3 Doubles 100% · published 3.5
2.95
Nita Ballantyne
usually #1 Doubles 50%, also #3 Doubles 50% · published
2.94
Diana Regini
usually #2 Doubles 50%, also #1 Doubles 50% · published 3
2.91
Nikki Roberts
published
2.89
Kelly Alston
usually #3 Doubles 100% · published
2.88
Erwin Watson
usually #1 Doubles 100% · published 3
2.87
Kirk Allen
usually #2 Doubles 100% · published
2.87
Christina Bookless
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.86
Jennifer McKee
published
2.77
Kelly Maloney
usually #2 Doubles 100% · published 3
2.77
Gregory Lenyszyn
usually #3 Doubles 100% · published 3
Bob Walker
published 3
Donald Marks
usually #3 Doubles 100% · published 3
2.73
Joe Goldsmith
usually #3 Doubles 100% · published
Bryan Yen
published
Jan Muller
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.

Nikki Roberts + Kirk Allen5067% games+16.3% vs expected
Christina Bookless + Eric Foret7071% games+13.6% vs expected
Jennifer McKee + Kirk Allen6451% games+7.6% vs expected
Erwin Watson + Hairong Xing6163% games+0.6% vs expected
Christina Bookless + Donald Marks3351% games−4.7% vs expected
Nita Ballantyne + Jan Muller4254% gamesnot enough data
Joe Goldsmith + Diana Regini3354% gamesnot enough data
Kelly Alston + Marc Alston5159% 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
Eric Foret
47W–22L career · 1 line in 2022
<1%85%15%
3.37
Marc Alston
58W–25L career · 2 lines in 2022
1%92%8%
3.31
Roger Delbue
45W–48L career · 1 line in 2022
2%94%4%
3.27
3.5
David Ballantyne
0W–1L career · type S · 1 line in 2022
not enough data
3.5
Hairong Xing
79W–54L career · 1 line in 2022
6%93%1%
3.21
3.5
Christine Casey-Charter
140W–81L career · 5 lines in 2022
6%93%1%
3.20
Nita Ballantyne
125W–62L career · 2 lines in 2022
<1%66%34%
2.95
3
Diana Regini
156W–60L career · 2 lines in 2022
<1%66%34%
2.94
Nikki Roberts
47W–22L career · no lines in 2022
<1%75%25%
2.91
Kelly Alston
62W–49L career · 1 line in 2022
<1%79%21%
2.89
3
Erwin Watson
36W–27L career · 2 lines in 2022
<1%81%19%
2.88
Kirk Allen
45W–23L career · 1 line in 2022
<1%84%16%
2.87
3
Christina Bookless
126W–83L career · 2 lines in 2022
<1%85%15%
2.87
Jennifer McKee
50W–65L career · no lines in 2022
<1%86%14%
2.86
3
Kelly Maloney
150W–89L career · 1 line in 2022
2%94%4%
2.77
3
Gregory Lenyszyn
30W–16L career · 1 line in 2022
2%94%4%
2.77
3
Bob Walker
5W–10L career · type S · no lines in 2022
not enough data
3
Donald Marks
65W–20L career · 1 line in 2022
not enough data
Joe Goldsmith
17W–18L career · 1 line in 2022
4%94%2%
2.73
Bryan Yen
1W–3L career · no lines in 2022
not enough data
Jan Muller
15W–9L 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.