Teams

LA - Hitmen

2021 SoCal Doubles - LA · LA - Men 4.5

12 players · average NTRP 4.50 / SO.CALIFORNIA

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Schedule6 played
2021-10-30vs LA - LATCWon 10
W#1 DoublesDavis Kop / Bijan Pourhamzeh vs Dan Krasner / Alexander Wood6-4, 3-6, 1-0
2021-10-24vs LA - Griffin ClubWon 20
W#2 DoublesDavis Kop / Adam Scott vs Evan Berman / Brandon Moglen6-4, 4-6, 1-0
W#3 DoublesKyle MacLelland / Bijan Pourhamzeh vs Rick Lucas / GAURAV SINGH6-3, 6-3
2021-10-17vs LA - Queen AnneLost 01
L#2 DoublesChandler Howell / Davis Kop vs Chase Melton / Robert Tung4-6, 4-6
2021-10-02vs LA - MountainGateWon 10
W#2 DoublesKyle MacLelland / Bijan Pourhamzeh vs Amr Hassan / Kris Jordan6-2, 6-3
2021-09-26vs LA - Team XWon 10
W#3 DoublesEdgar Munoz / Bijan Pourhamzeh vs Alfonso Benson / Hanre Chang6-3, 6-2
2021-09-12Won 10
W#2 DoublesDavis Kop / Zachary Jones vs Rob Knight / Caleb Wild7-6, 2-6, 1-0
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 LA - Men 4.5 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 4.22 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.

4.47
Tushar Sharma
published
4.40
Eric Fandel
published 4.5
4.29
Kyle MacLelland
published
4.26
Davis Kop
usually #2 Doubles 75%, also #1 Doubles 25% · published 4.5
Alex McKinzie
published 4.5
Chandler Howell
published 4.5
4.21
Bijan Pourhamzeh
usually #3 Doubles 50%, also #2 Doubles 25% · published 4.5
4.09
Amit Gupta
published 5
4.08
Adam Scott
published 4.5
3.93
Kyle Wood
published
Bryan Warsaw
published 4
Jordan Fein
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.

Kyle MacLelland + Kyle Wood3454% games+3.0% vs expected
Davis Kop + Bijan Pourhamzeh2352% 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.

Tushar Sharma
7W–5L career · no lines in 2021
59%41%<1%
4.47
4.5
Eric Fandel
4W–4L career · no lines in 2021
<1%78%22%
4.40
Kyle MacLelland
7W–4L career · no lines in 2021
1%93%6%
4.29
4.5
Davis Kop
79W–42L career · 4 lines in 2021
2%94%3%
4.26
4.5
Alex McKinzie
2W–0L career · no lines in 2021
not enough data
4.5
Chandler Howell
7W–7L career · no lines in 2021
not enough data
4.5
Bijan Pourhamzeh
111W–71L career · 4 lines in 2021
5%94%1%
4.21
5
Amit Gupta
7W–2L career · no lines in 2021
>99%<1%<1%
4.09
4.5
Adam Scott
4W–3L career · no lines in 2021
28%72%<1%
4.08
Kyle Wood
8W–7L career · no lines in 2021
71%29%<1%
3.93
4
Bryan Warsaw
0W–1L career · no lines in 2021
not enough data
Jordan Fein
3W–3L career · no lines in 2021
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.