Teams

MARIN CC CM6.5A

2023 COMBO · Men 6.5

10 players · average NTRP 3.40 / NO. CALIFORNIA

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 →
Schedule7 played
2023-10-29vs MARIN TC CM6.5ALost 01
L#2 DoublesAli Iqbal / Andrew Larson vs Rob Cochran / Drew Morrell1-6, 6-4, 0-1
2023-10-12vs MARIN TC CM6.5ALost 01
L#1 DoublesEdward Gamble / Andrew Larson vs Tassos Papadimos / Nicolas Pommier7-5, 1-6, 0-1
2023-10-09vs RAFAEL RC CM6.5AWon 10
W#2 DoublesAndrew Larson / Ali Iqbal vs Mark Krajan / Firas Ghantous6-0, 6-1
2023-09-23vs RAFAEL RC CM6.5ALost 01
L#2 DoublesBruce Kirsten / Andrew Larson vs Cesare Cecchin / Harry Lewis4-6, 2-6
2023-09-18vs RAFAEL RC CM6.5ALost 01
L#1 DoublesWilliam Gala / Andrew Larson vs Christopher Skelton / Chris Jones1-6, 1-6
2023-09-11vs MARIN TC CM6.5ALost 01
L#2 DoublesAli Iqbal / Andrew Larson vs Noah Dehlinger / Andrew Fremier6-7, 3-6
2023-08-28vs RAFAEL RC CM6.5ALost 01
L#3 DoublesAndrew Larson / Kyle Frazier vs Harry Lewis / Nick Stiritz3-6, 6-3, 0-1
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 Men 6.5 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 3.10 estimated across 9 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.

Andrew Larson
usually #2 Doubles 57%, also #1 Doubles 29% · published 3.5
3.24
John Buscaglia
published
3.23
Jared Caldwell
published
3.21
Ali Iqbal
published 3.5
3.19
Kyle Frazier
published
3.13
Edward Gamble
published 3.5
3.13
Michael Milano
published
3.05
Bruce Kirsten
published 3.5
2.91
Sanjeev Kumar
published
2.77
Gregg Bernier
published 3
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.

Edward Gamble + Bruce Kirsten134 matchesnot enough data
Edward Gamble + Jared Caldwell123 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.

3.5
Andrew Larson
3W–14L career · 7 lines in 2023
not enough data
John Buscaglia
5W–11L career · no lines in 2023
3%95%2%
3.24
Jared Caldwell
12W–16L career · no lines in 2023
4%94%2%
3.23
3.5
Ali Iqbal
11W–16L career · no lines in 2023
6%93%1%
3.21
Kyle Frazier
5W–9L career · no lines in 2023
7%92%1%
3.19
3.5
Edward Gamble
5W–12L career · no lines in 2023
15%84%<1%
3.13
Michael Milano
9W–12L career · no lines in 2023
16%83%<1%
3.13
3.5
Bruce Kirsten
7W–22L career · no lines in 2023
34%66%<1%
3.05
Sanjeev Kumar
2W–6L career · no lines in 2023
77%23%<1%
2.91
3
Gregg Bernier
6W–14L career · no lines in 2023
2%94%4%
2.77

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.