Teams

Salt Lake Tennis-Follette/Hansen

2024 Fall Indoor League-Saturday · 3.0M

11 players · average NTRP 3.21 / UTAH

View scouting list →
Schedule4 played
2024-12-07vs Sports Mall-Pacheco/LawWon 21
W#1 DoublesConner Smith / Dylan Richardson vs Dhruvan Gopinath / Naga Bhargav Paritala6-1, 6-1
W#2 DoublesClark Stacey / John Pylidis vs BART SHARP / Matthew Law6-7, 4-3, 1-0
L#3 DoublesJames Wang / Paul Moxley vs Andrew Keys / Robert Smith5-7, 2-6
2024-11-23vs Ogden-Porter/JexSplit 11
W#1 DoublesDylan Richardson / Rick Cromar vs Chris Porter / Carsten Lau4-6, 5-2, 1-0
L#2 DoublesEthan Lee / Hamza Qadeer vs Robb Wright / Jeff Beckstead7-6, 1-5, 0-1
2024-11-16vs Salt Lake Tennis-Murray/CulverLost 03
L#1 DoublesMark Follette / Conner Smith vs Dan Murray / Kris Denos6-7, 1-6
L#2 DoublesSimeon Thomas / Rick Cromar vs Matthew Coleman / Jack Pendergast5-7, 3-5
L#3 DoublesEthan Lee / Hamza Qadeer vs Cameron Fuhriman / Scott Fuhriman0-6, 1-6
2024-11-09vs Cottonwood Club-Bryson/AricoLost 12
L#1 DoublesClark Stacey / John Pylidis vs Ben Haverkost / Joseph Arico3-6, 3-5
W#2 DoublesJames Wang / Simeon Thomas vs Tim Nielsen / Howard Davis6-3, 6-4
L#3 DoublesPaul Moxley / Hamza Qadeer vs James Hales / Ryan Sargent5-7, 1-6
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 · 3.0M
TeamWLInd. WInd. LSets lostGames lost
1Salt Lake Tennis-Smith5113510109
2Salt Lake Tennis-Murray/Culver41123892
3Sports Mall-Nelson/Isaza4212614122
4Ogden-Porter/Jex4210817130
5Sports Mall-Pacheco/Law329613109
6Liberty Park Tennis-Visser329616128
7Cottonwood Club-Bryson/Arico2471123161
8Salt Lake Tennis-Follette/Hansen134818125
9Liberty Park Tennis-Balch1551327182
10TAOU-Higgs0501530180

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 2.89 estimated across 10 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.

3.63
Manti Hansen
usually #1 Doubles 100% · published 4
3.45
Conner Smith
usually #1 Doubles 100% · published 3.5
2.92
Dylan Richardson
usually #1 Doubles 100% · published 3
2.90
Simeon Thomas
usually #2 Doubles 100% · published
2.89
Hamza Qadeer
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
2.83
John Pylidis
usually #3 Doubles 50%, also #1 Doubles 25% · published 3
2.69
Clark Stacey
usually #1 Doubles 50%, also #2 Doubles 50% · published 3
2.58
Mark Follette
usually #1 Doubles 100% · published
2.55
Ethan Lee
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.46
Rick Cromar
usually #2 Doubles 50%, also #1 Doubles 50% · published
Paul Moxley
usually #3 Doubles 100% · 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.

Dylan Richardson + Conner Smith7070% games+14.7% vs expected
Rick Cromar + Hamza Qadeer4547% games+6.8% vs expected
Dylan Richardson + Simeon Thomas7258% games+6.3% vs expected
Mark Follette + Manti Hansen4258% games+5.4% vs expected
Ethan Lee + Hamza Qadeer2435% games−9.0% vs expected
Paul Moxley + Hamza Qadeer1436% games−10.3% vs expected
Rick Cromar + Mark Follette2737% games−11.2% vs expected
Mark Follette + Hamza Qadeer2348% 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
Manti Hansen
124W–51L career · 3 lines in 2024
16%84%<1%
3.63
3.5
Conner Smith
39W–9L career · 2 lines in 2024
<1%64%36%
3.45
3
Dylan Richardson
52W–48L career · 2 lines in 2024
<1%72%28%
2.92
Simeon Thomas
34W–17L career · 2 lines in 2024
<1%78%21%
2.90
3
Hamza Qadeer
27W–24L career · 3 lines in 2024
<1%80%20%
2.89
3
John Pylidis
15W–20L career · 4 lines in 2024
1%90%9%
2.83
3
Clark Stacey
67W–86L career · 2 lines in 2024
7%92%1%
2.69
Mark Follette
69W–96L career · 1 line in 2024
26%74%<1%
2.58
3
Ethan Lee
12W–19L career · 2 lines in 2024
36%64%<1%
2.55
Rick Cromar
27W–59L career · 2 lines in 2024
61%39%<1%
2.46
Paul Moxley
10W–25L career · 2 lines in 2024
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.