Teams

Liberty Park Tennis-Akio's Angels

2024 UTA Tri Level League · M3.5

17 players · average NTRP 4.11 / UTAH

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 →
Schedule6 played
2024-10-06vs Liberty Park Tennis-BublikWon 10
W#1 DoublesAditya Deshpande / Kolby Silim vs Michael Boice / Matthew Jensen7-6, 6-4
2024-10-06vs Liberty Park Tennis-SatoWon 10
W#1 DoublesTony Lew / Trinh Tran vs Kyle Kugler / Jason Nielsen7-5, 7-6
2024-10-05vs Sports Mall-LudlowWon 10
W#1 DoublesBrandon Khoune / Kolby Silim vs Jeff Elmer / Danny Owen6-2, 0-6, 1-0
2024-10-05vs Liberty Park Tennis-SatoWon 10
W#1 DoublesAditya Deshpande / Trinh Tran vs Kyle Kugler / Jason Nielsen6-2, 3-6, 1-0
2024-10-04vs Liberty Park Tennis-BublikWon 10
W#1 DoublesAditya Deshpande / Kolby Silim vs Michael Boice / Jamel Cash6-4, 6-2
2024-10-03vs Sports Mall-LudlowWon 10
W#3 DoublesBrandon Khoune / Tony Lew vs Jeff Elmer / Shawn Hancock7-5, 4-6, 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 standings4 teams · M3.5
TeamWLInd. WInd. LSets lostGames lost
1Liberty Park Tennis-Akio's Angels5113517154
2Liberty Park Tennis-Bublik5111717154
3Sports Mall-Ludlow1571125191
4Liberty Park Tennis-Sato1551327188

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 3.93 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.

4.55
Kolby Silim
usually #1 Doubles 100% · published 4.5
4.37
Brandon Khoune
usually #3 Doubles 50%, also #1 Doubles 50% · published 4.5
4.24
Aditya Deshpande
usually #1 Doubles 100% · published 4.5
4.14
Tony Lew
usually #3 Doubles 50%, also #1 Doubles 50% · published
4.14
Trinh Tran
usually #1 Doubles 100% · published
4.13
Andres J J Gonzalez Roa
usually #1 Doubles 80%, also #2 Doubles 20% · published 4.5
4.08
Nicholas Mihalyi
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
3.95
Don Tran
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.84
Hudson Martin
usually #3 Doubles 100% · published 4
3.82
Casey Patrick
usually #1 Doubles 80%, also #2 Doubles 20% · published 4
3.80
Benjamin Jagolinzer
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
Christian Radman
usually #3 Doubles 50%, also #2 Doubles 50% · published 4
3.71
Logan Casebolt
usually #2 Doubles 60%, also #3 Doubles 30% · published
3.66
Akio Tsujino
published 4
3.65
Scott Riding
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.63
Manti Hansen
usually #3 Doubles 63%, also #2 Doubles 38% · published 4
3.15
Myles Ozo
usually #3 Doubles 83%, also #2 Doubles 17% · 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.

Hudson Martin + Manti Hansen8169% games+16.1% vs expected
Tony Lew + Brandon Khoune4159% games+9.1% vs expected
Casey Patrick + Scott Riding3259% games+6.7% vs expected
Casey Patrick + Nicholas Mihalyi4357% games+5.8% vs expected
Nicholas Mihalyi + Benjamin Jagolinzer6162% games+2.0% vs expected
Kolby Silim + Brandon Khoune4251% games+0.6% vs expected
Tony Lew + Andres J J Gonzalez Roa4549% games−1.2% vs expected
Kolby Silim + Trinh Tran6160% 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.

4.5
Kolby Silim
93W–38L career · type A · 3 lines in 2024
<1%35%65%
4.55
4.5
Brandon Khoune
61W–31L career · 2 lines in 2024
<1%84%16%
4.37
4.5
Aditya Deshpande
18W–4L career · 3 lines in 2024
3%94%2%
4.24
Tony Lew
74W–59L career · 2 lines in 2024
13%86%<1%
4.14
Trinh Tran
60W–40L career · 2 lines in 2024
14%86%<1%
4.14
4.5
Andres J J Gonzalez Roa
139W–61L career · 5 lines in 2024
16%84%<1%
4.13
4.5
Nicholas Mihalyi
106W–47L career · 6 lines in 2024
26%74%<1%
4.08
4
Don Tran
76W–24L career · 6 lines in 2024
<1%65%35%
3.95
4
Hudson Martin
56W–14L career · 5 lines in 2024
<1%88%11%
3.84
4
Casey Patrick
96W–50L career · 5 lines in 2024
1%91%8%
3.82
4
Benjamin Jagolinzer
46W–27L career · 6 lines in 2024
1%93%6%
3.80
4
Christian Radman
17W–8L career · 8 lines in 2024
not enough data
Logan Casebolt
18W–19L career · 10 lines in 2024
5%93%1%
3.71
4
Akio Tsujino
87W–51L career · no lines in 2024
12%88%<1%
3.66
4
Scott Riding
127W–74L career · 4 lines in 2024
12%88%<1%
3.65
4
Manti Hansen
124W–51L career · 8 lines in 2024
16%84%<1%
3.63
3
Myles Ozo
73W–57L career · 6 lines in 2024
<1%13%87%
3.15

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.