Teams

MI-Matthews

2022 Adult 18 & Over · 5.0 Men

12 players · average NTRP 4.71 / NORTHWEST WASHINGTON

View scouting list →
Schedule7 played
2022-06-04vs NTC-Races to Aces-GollWon 21
W#1 DoublesKen Bang / Tim Larson vs Mallory Maloney / Riley Peschon6-4, 6-7, 1-0
L#1 SinglesCurran Hagstrom vs Spencer Goll5-7, 7-6, 0-1
W#2 DoublesJoshua Glick / Christopher Elliott vs Carl Swanson / Mark Ball6-4, 6-4
2022-05-28vs AYTC-5.0 Clock Somewhere-AnWon 30
W#1 DoublesJoshua Glick / Christopher Elliott vs James Crosetto / Kyle Stalker7-5, 7-6
W#1 SinglesCurran Hagstrom vs Jason Chen7-5, 3-6, 1-0
W#2 DoublesTim Larson / Robert Matthews vs N/A6-0, 6-0
2022-05-21vs FC-Tais 5.0Lost 03
L#1 DoublesBenjamin Elliott / Christopher Elliott vs Brian Hou / Edgardo Quintero7-6, 4-6, 1-0
L#1 SinglesMichael Fleming vs Spencer Watanabe0-6, 0-6
L#2 DoublesChad Dierickx / Joshua Glick vs Ciprian Tais / Chris Lilley2-6, 4-6
2022-05-15vs BETC-Honey Badgers-HedgerLost 12
L#1 DoublesTim Larson / Robert Matthews vs Joel Bodine / Nick Moxley1-6, 6-7
L#1 SinglesBenjamin Bethards vs Winston Ngo3-6, 4-6
W#2 DoublesRob Condiotty / Jeffrey Richards vs N/A6-0, 6-0
2022-04-23vs BC-VaronLost 12
W#1 DoublesRob Condiotty / Jeffrey Richards vs Christopher Trippel / Hunter Egger6-4, 2-6, 1-0
L#1 SinglesKen Bang vs Zhia Chong2-6, 3-6
L#2 DoublesTim Larson / Michael Fleming vs Zackary Ahyat / Frederick Walsh3-6, 4-6
2022-04-08vs WSC-BowerWon 30
W#1 DoublesRobert Matthews / Rob Condiotty vs Ryan Hoy / Minh Vo6-2, 6-1
W#1 SinglesMichael Fleming vs Daniel Armellino6-2, 2-6, 1-0
W#2 DoublesKen Bang / Chad Dierickx vs Jason Bower / Justin Tran6-4, 6-4
2022-04-01vs MC-5.0 Topguns 2-VimawalaLost 02
L#1 DoublesRobert Matthews / Joshua Glick vs Anuj Vimawala / Maxim Shmotolokha4-6, 4-6
L#1 SinglesBenjamin Bethards vs Jesse Schouten2-6, 5-7
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 standings8 teams · 5.0 Men
TeamWLInd. WInd. LSets lostGames lost
1FC-Tais 5.0701925107
2MC-5.0 Topguns 2-Vimawala5215614169
3BC-Varon5213820195
4NTC-Races to Aces-Goll4313818176
5BETC-Honey Badgers-Hedger34101124194
6MI-Matthews34101126206
7AYTC-5.0 Clock Somewhere-An1631837236
8WSC-Bower0712040249

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 4.38 estimated across 12 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.

4.81
Jeffrey Richards
usually #1 Doubles 50%, also #2 Doubles 50% · published 5
4.80
Ken Bang
usually #2 Doubles 67%, also #1 Singles 17% · published 5
4.72
Benjamin Elliott
usually #1 Doubles 57%, also #2 Singles 43% · published 5
4.68
Rob Condiotty
usually #1 Doubles 57%, also #2 Doubles 43% · published 5
4.56
Benjamin Bethards
usually #1 Singles 67%, also #2 Singles 33% · published 4.5
4.41
Curran Hagstrom
usually #1 Singles 100% · published 4.5
4.34
Michael Fleming
usually #1 Singles 67%, also #2 Doubles 33% · published 4.5
4.25
Chad Dierickx
usually #2 Doubles 100% · published 4.5
4.21
Christopher Elliott
usually #1 Doubles 67%, also #2 Doubles 33% · published 5
4.11
Joshua Glick
usually #1 Doubles 46%, also #2 Doubles 46% · published 4.5
4.04
Robert Matthews
usually #1 Doubles 75%, also #2 Doubles 25% · published 4.5
3.64
Tim Larson
usually #2 Doubles 50%, also #1 Doubles 50% · 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.

Curran Hagstrom + Robert Matthews4159% games+11.7% vs expected
Rob Condiotty + Ken Bang12364% games+10.2% vs expected
Robert Matthews + Tim Larson172050% games+7.3% vs expected
Rob Condiotty + Jeffrey Richards7265% games+2.7% vs expected
Curran Hagstrom + Joshua Glick9757% games+1.8% vs expected
Michael Fleming + Curran Hagstrom314 matchesnot enough data
Michael Fleming + Joshua Glick404 matchesnot enough data
Benjamin Bethards + Tim Larson213 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.

5
Jeffrey Richards
27W–18L career · 2 lines in 2022
1%92%7%
4.81
5
Ken Bang
46W–22L career · 6 lines in 2022
1%93%6%
4.80
5
Benjamin Elliott
10W–5L career · type S · 7 lines in 2022
5%94%1%
4.72
5
Rob Condiotty
50W–28L career · 7 lines in 2022
8%91%1%
4.68
4.5
Benjamin Bethards
78W–32L career · 6 lines in 2022
<1%32%68%
4.56
4.5
Curran Hagstrom
58W–27L career · 8 lines in 2022
<1%75%25%
4.41
4.5
Michael Fleming
53W–33L career · 3 lines in 2022
<1%89%10%
4.34
4.5
Chad Dierickx
10W–7L career · 2 lines in 2022
3%95%3%
4.25
5
Christopher Elliott
37W–20L career · 3 lines in 2022
99%1%<1%
4.21
4.5
Joshua Glick
61W–34L career · 11 lines in 2022
19%81%<1%
4.11
4.5
Robert Matthews
59W–54L career · 4 lines in 2022
39%61%<1%
4.04
4.5
Tim Larson
66W–49L career · 4 lines in 2022
>99%<1%<1%
3.64

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.