Teams

SSH SILVER

2022 ITA MIXED DOUBLES - DEN · MIXED 8.5 - ITA

12 players · average NTRP 4.30 / COLORADO

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 →
Schedule7 played
2022-08-21vs SSLT TEALSplit 11
L#1 DoublesMatt Whitmer / Jennifer Armstrong vs Daniel Conroy / Karmen Davis4-6, 6-2, 0-1
W#2 DoublesMatthew Hooper / Tanya Taylor vs Jeff Cline / Jo Anna Cline6-3, 6-4
2022-08-14vs PRKR REDLost 12
L#1 DoublesTanya Taylor / Paul Suyumov vs Jeff Aberle / Ashley Camenson7-5, 3-6, 0-1
W#2 DoublesRobbie Pike / Denise Fisher vs Jack Hwang / Hilary Marano4-6, 6-2, 1-0
L#3 DoublesZac Bergquist / Irene Mendelsberg vs Nabeel Meghji / Brenda Amundsen6-1, 6-7, 0-1
2022-08-07vs SSLT GREENLost 12
L#1 DoublesTodd Harrington / Tanya Harrington vs Talia Cioth / Shawn Morgan2-6, 3-6
W#2 DoublesJennifer Armstrong / Matthew Hooper vs Thomas Samuelson / Alli Berry6-2, 7-5
L#3 DoublesLauren Perry / Matt Whitmer vs W Hancock / Beth Zubowicz4-6
2022-07-31vs LTFC BLUEWon 21
W#1 DoublesMatthew Hooper / Jennifer Armstrong vs Tyler Engel / Venita Vereen6-3, 6-4
W#2 DoublesTodd Harrington / Tanya Harrington vs KC Agrelius / Ashley Agrelius6-2, 6-2
L#3 DoublesZac Bergquist / Denise Fisher vs Yvette Watson / William Wall6-4, 2-6, 0-1
2022-07-24vs CACI GREENWon 21
W#1 DoublesPaul Suyumov / Jennifer Armstrong vs Dirk McDermott / Kim Ripka5-7, 6-3, 1-0
W#2 DoublesPaul Jackson / Irene Mendelsberg vs Ben Atlee / Cydney Springer6-4, 2-6, 1-0
L#3 DoublesRobbie Pike / Tanya Taylor vs Mustafa Neemuchwala / Lissa Moon5-7, 7-5, 0-1
2022-07-17vs LTFC PURPLELost 12
L#1 DoublesMatthew Hooper / Jennifer Armstrong vs James Jaggers / Joy Herrin0-6, 6-7
L#2 DoublesTodd Harrington / Tanya Harrington vs Rory Jaggers / Donnie Criswell1-6, 2-6
W#3 DoublesPaul Suyumov / Denise Fisher vs Cathie Frazzini / Christopher Hillary6-2, 6-3
2022-07-10vs SSH BLUELost 02
L#2 DoublesZac Bergquist / Irene Mendelsberg vs Troy Wilson / Elisa Dannemiller3-6, 3-6
L#3 DoublesRobbie Pike / Tanya Taylor vs Shawn Iben / Diem Phan-Boyer6-4, 3-6, 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 · MIXED 8.5 - ITA
TeamWLInd. WInd. LSets lostGames lost
1DTP YELLOW5113511136
2SSH SILVER2581329207
3LPTC YELLOW2571430207
4CP ORANGE0651328203

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 4.04 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.

4.42
Paul Suyumov
usually #3 Doubles 40%, also #1 Doubles 40% · published 4.5
4.38
Matthew Hooper
usually #1 Doubles 57%, also #2 Doubles 43% · published
4.31
Irene Mendelsberg
usually #2 Doubles 67%, also #3 Doubles 33% · published 4.5
4.10
Lauren Perry
usually #3 Doubles 100% · published
4.04
Tanya Harrington
usually #2 Doubles 67%, also #1 Doubles 33% · published 4
4.01
Zac Bergquist
usually #3 Doubles 67%, also #2 Doubles 33% · published 4.5
3.93
Jennifer Armstrong
usually #1 Doubles 80%, also #2 Doubles 20% · published
3.80
Tanya Taylor
usually #3 Doubles 50%, also #2 Doubles 25% · published
3.73
Matt Whitmer
usually #1 Doubles 50%, also #3 Doubles 50% · published
3.68
Denise Fisher
usually #3 Doubles 67%, also #2 Doubles 33% · published 4
Robbie Pike
usually #2 Doubles 57%, also #3 Doubles 29% · published
Todd Harrington
usually #2 Doubles 67%, also #1 Doubles 33% · 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.

Lauren Perry + Matthew Hooper4162% games+18.6% vs expected
Matt Whitmer + Tanya Taylor6159% games+14.5% vs expected
Tanya Harrington + Todd Harrington3444% games+1.0% vs expected
Irene Mendelsberg + Zac Bergquist3358% games−3.7% vs expected
Robbie Pike + Tanya Taylor224 matchesnot enough data
Matthew Hooper + Jennifer Armstrong213 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.

4.5
Paul Suyumov
149W–69L career · 5 lines in 2022
<1%73%27%
4.42
Matthew Hooper
88W–36L career · 7 lines in 2022
<1%81%19%
4.38
4.5
Irene Mendelsberg
67W–40L career · 3 lines in 2022
1%92%7%
4.31
Lauren Perry
89W–38L career · 1 line in 2022
22%78%<1%
4.10
4
Tanya Harrington
37W–41L career · 3 lines in 2022
<1%37%63%
4.04
4.5
Zac Bergquist
45W–41L career · 3 lines in 2022
46%54%<1%
4.01
Jennifer Armstrong
96W–35L career · 5 lines in 2022
<1%70%30%
3.93
Tanya Taylor
67W–40L career · 4 lines in 2022
1%93%6%
3.80
Matt Whitmer
62W–31L career · 6 lines in 2022
4%94%2%
3.73
4
Denise Fisher
23W–32L career · 3 lines in 2022
8%91%1%
3.68
Robbie Pike
15W–9L career · 7 lines in 2022
not enough data
Todd Harrington
16W–60L career · 3 lines in 2022
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.