Teams

FREMONT TC CM9.5A

2022 COMBO · Men 9.5

14 players · average NTRP 4.60 / 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 →

Flight standings for Men 9.5 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 4.34 estimated across 14 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.

4.61
Scott Monismith
published
4.54
Navdeep Sandhu
published
4.49
Stefan Schneider
published
4.39
Imran Allana
published 4.5
4.39
Rohit Nakra
published
4.37
Attila Gosi
published 4.5
4.35
Sam Behbehani
published
4.34
Soham Mookerjea
published
4.30
Matt Lin
published
4.29
Paul Liu
published
4.29
David Verdeflor
published 5
4.29
Justin Yarbrough
published
4.09
Christopher Rossi
published 4.5
4.02
David Meacham
published 4.5
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.

David Verdeflor + Imran Allana3248% gamesnot enough data
David Verdeflor + Scott Monismith224 matchesnot enough data
David Verdeflor + Rohit Nakra123 matchesnot enough data
Imran Allana + Rohit Nakra213 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.

Scott Monismith
16W–17L career · no lines in 2022
20%80%<1%
4.61
Navdeep Sandhu
5W–6L career · no lines in 2022
36%64%<1%
4.54
Stefan Schneider
4W–8L career · no lines in 2022
53%47%<1%
4.49
4.5
Imran Allana
17W–8L career · no lines in 2022
<1%79%21%
4.39
Rohit Nakra
5W–5L career · no lines in 2022
79%21%<1%
4.39
4.5
Attila Gosi
3W–1L career · no lines in 2022
<1%85%15%
4.37
Sam Behbehani
11W–12L career · no lines in 2022
87%13%<1%
4.35
Soham Mookerjea
14W–16L career · no lines in 2022
<1%88%11%
4.34
Matt Lin
8W–7L career · no lines in 2022
1%93%6%
4.30
Paul Liu
27W–18L career · no lines in 2022
1%93%6%
4.29
5
David Verdeflor
7W–6L career · no lines in 2022
94%6%<1%
4.29
Justin Yarbrough
18W–6L career · no lines in 2022
1%93%6%
4.29
4.5
Christopher Rossi
2W–3L career · type A · no lines in 2022
25%75%<1%
4.09
4.5
David Meacham
2W–6L career · no lines in 2022
45%55%<1%
4.02

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.