Teams

Liberty Park-Torres

2025 Fall Indoor League-Saturday · 3.5M

13 players · average NTRP 3.44 / UTAH

View scouting list →
Schedule4 played
2025-12-13Lost 01
L#1 DoublesAbhi Dangeti / Mark Adams vs Matthew Lee / Thomas Good1-6, 1-6
2025-12-06vs SunPro-Faux/McGillLost 02
L#1 DoublesJason Dunham / Nathan Nguyen vs Rob Faux / Michael Pacada5-7, 0-6
L#2 DoublesNathan Macheel / Brenden van Berkum vs Nick Deschamps / Kaden Henry1-6, 4-6
2025-11-08vs Salt City TennisWon 20
W#1 DoublesNathan Macheel / Nateenond Supatpitak vs Floriano Ferreira / Colton Clark6-4, 6-3
W#3 DoublesAbhi Dangeti / Kapil Sharma vs Dan Goulding / Cody Haroldsen2-6, 6-4, 1-0
2025-11-01vs Sports Mall-Pehrson/RozsaWon 21
L#1 DoublesNateenond Supatpitak / Brenden van Berkum vs Andrew McCubbins / Ryan Farr3-6, 4-6
W#2 DoublesJason Dunham / Nathan Nguyen vs Lonny Pehrson / David Rozsa6-4, 6-1
W#3 DoublesFernando Torres / Nathan Macheel vs N/A6-0, 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 standings10 teams · 3.5M
TeamWLInd. WInd. LSets lostGames lost
1Saturday Slammers-Stacey/Treanor6013512124
2Liberty Park-Torres4211717139
3Team Spencer3311716146
4Liberty Park-Trentman339921166
5Cottonwood Club-Haverkost339921156
6SunPro Fall Tweeners339921142
7Sports Mall-Finlay3381023162
8Sports Mall-Stroud-Peterson/Butt3381023170
9SLT Court Queens-Leatham2461226170
10Salt Lake Tennis-Bayna/Myers0661227178

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 3.17 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.

3.31
Nathan Macheel
usually #3 Doubles 33%, also #1 Doubles 33% · published 3.5
Abhi Dangeti
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
3.23
Max Harnicher
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.19
Mark Adams
usually #1 Doubles 100% · published
3.17
Antonio Montes De Oca
usually #1 Doubles 40%, also #3 Doubles 40% · published 3.5
3.15
Fernando Torres
usually #1 Doubles 67%, also #2 Doubles 33% · published 3.5
3.13
Nateenond Supatpitak
usually #1 Doubles 100% · published
3.13
Brian Son
usually #2 Doubles 50%, also #3 Doubles 25% · published 3.5
3.11
Yoonsung Goo
usually #2 Doubles 100% · published 3
3.09
Brenden van Berkum
usually #2 Doubles 50%, also #1 Doubles 50% · published 3.5
Jason Dunham
usually #1 Doubles 50%, also #2 Doubles 50% · published
Kapil Sharma
usually #3 Doubles 100% · published
Nathan Nguyen
usually #1 Doubles 50%, also #2 Doubles 50% · 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.

Yoonsung Goo + Brian Son9259% games+5.1% vs expected
Max Harnicher + Antonio Montes De Oca314 matchesnot enough data
Brenden van Berkum + Nateenond Supatpitak123 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
Nathan Macheel
20W–16L career · 3 lines in 2025
1%92%7%
3.31
3.5
Abhi Dangeti
1W–1L career · type S · 2 lines in 2025
not enough data
3.5
Max Harnicher
51W–33L career · 3 lines in 2025
4%94%2%
3.23
Mark Adams
94W–119L career · 1 line in 2025
7%92%1%
3.19
3.5
Antonio Montes De Oca
38W–15L career · 5 lines in 2025
9%90%1%
3.17
3.5
Fernando Torres
98W–77L career · 3 lines in 2025
13%86%<1%
3.15
Nateenond Supatpitak
5W–9L career · 2 lines in 2025
15%84%<1%
3.13
3.5
Brian Son
16W–11L career · 4 lines in 2025
16%84%<1%
3.13
3
Yoonsung Goo
42W–27L career · 4 lines in 2025
<1%20%80%
3.11
3.5
Brenden van Berkum
7W–13L career · 2 lines in 2025
24%76%<1%
3.09
Jason Dunham
2W–4L career · 2 lines in 2025
not enough data
Kapil Sharma
3W–3L career · 1 line in 2025
not enough data
Nathan Nguyen
55W–55L career · 2 lines in 2025
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.