Teams

Tennisious

2022 ITA MIXED DOUBLES - BOISE · TV

15 players · average NTRP 3.83 / IDAHO

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 →
Schedule12 played
2022-09-16Lost 02
L#1 DoublesNoe Lopez / Daniela Hefner vs Debbie Merritt / Trever Browne1-6, 6-7
L#2 DoublesJo Roby / Michael Lundstedt vs Kimberly Stewart / Fazal Shariff4-6, 6-7
2022-09-14vs Mixed LoveLost 01
L#3 DoublesIndranil Roy / Sue Gray vs Brahma Reddy Yenumula / Ada Hansen1-6, 3-6
2022-09-12Won 10
W#2 DoublesJo Roby / Damian Lettieri vs Ryan Cook / Christeena Sevy7-5, 6-4
2022-09-07vs Win or Booze 7.5Won 20
W#1 DoublesNoe Lopez / Daniela Hefner vs Amanda Steele / Brian Kittelson6-3, 7-5
W#2 DoublesYuzhu Zheng / Damian Lettieri vs Willie Lafrades / Dawn Lafrades6-1, 6-2
2022-08-31vs Lovin' Every DayWon 10
W#2 DoublesNoe Lopez / Daniela Hefner vs Ashley Tribble / Jacob Skinner7-6, 6-2
2022-08-29vs Sets AddictsWon 30
W#1 DoublesChad Anderson / Jo Roby vs Travis Hopkey / Vanessa Schulte3-6, 6-2, 1-0
W#2 DoublesEmily Flores / Damian Lettieri vs Casey Boren / Christy Siemons6-4, 6-3
W#3 DoublesIndranil Roy / Sue Gray vs Matt Sheils / Rachel Boren6-3, 6-2
2022-08-24vs Fuzzy BallsWon 20
W#1 DoublesScott Anders / Daniela Hefner vs Christine Elwer / Steve Elwer6-0, 3-6, 1-0
W#2 DoublesMichael Lundstedt / Jo Roby vs Sherri Felton / Troy Casper7-5, 6-4
2022-08-23vs MSA (Mas Serve Aces)Lost 01
L#1 DoublesDamian Lettieri / Daniela Hefner vs Bryan Dingel / Karri Jones2-6, 5-7
2022-08-17vs Mixtape SpinnersWon 10
W#3 DoublesNoe Lopez / Daniela Hefner vs Sandra Gulley / Victor Reyes6-4, 6-0
2022-08-15vs Aced ItWon 10
W#3 DoublesIndranil Roy / Jo Roby vs Steven Garcia / Robyn Roby7-5, 7-5
2022-08-10vs ETC HittersLost 01
L#3 DoublesMichael Lundstedt / Sue Gray vs Suzanna Murali / Anil Kukutla7-5, 3-6, 1-0
2022-08-08vs UntouchaballsLost 01
L#3 DoublesChad Anderson / Sue Gray vs Tayler Henrie / Deena Emry3-6, 6-4, 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 standings12 teams · TV
TeamWLInd. WInd. LSets lostGames lost
1Aced It10229723266
2Whiskey Tango Foxtrot102261027292
3Untouchaballs93261025277
4Mixed Love93201640324
5Tennisious75241227286
6ETC Hitters75221437309
7Team Frame66152147365
8Lovin' Every Day57171944353
9Sets Addicts39102655387
10Mixtape Spinners3992756380
11Fuzzy Balls21082858379
12Win or Booze 7.501282860385

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 3.65 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.

3.91
3.91
Emily Flores
published 4
3.86
Noe Lopez
published 4
3.76
Scott Anders
published 4
Chad Anderson
usually #1 Doubles 55%, also #2 Doubles 36% · published 4
Indranil Roy
usually #3 Doubles 67%, also #1 Doubles 22% · published 4
3.74
Daniela Hefner
usually #1 Doubles 67%, also #2 Doubles 17% · published 4
3.64
Eric Hallingstad
published 3.5
3.61
Damian Lettieri
usually #2 Doubles 75%, also #1 Doubles 25% · published 4
3.51
Anna Orrison
published 3.5
3.37
Deniz Aygen
published 3.5
3.24
Michael Lundstedt
published 3.5
Jo Roby
usually #2 Doubles 60%, also #1 Doubles 20% · published
Sue Gray
usually #3 Doubles 100% · published
Yuzhu Zheng
usually #3 Doubles 44%, also #2 Doubles 44% · 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.

Deniz Aygen + Eric Hallingstad12363% games+12.0% vs expected
Emily Flores + Michael Lundstedt5750% games+3.8% vs expected
Anna Orrison + Indranil Roy16459% games+0.0% vs expected
Emily Flores + Chad Anderson11657% gamesnot enough data
Anna Orrison + Chad Anderson16070% gamesnot enough data
Jo Roby + Michael Lundstedt31043% gamesnot enough data
Yuzhu Zheng + Indranil Roy7355% gamesnot enough data
Leslie Koppenhafer + Chad Anderson8075% 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
Leslie Koppenhafer
265W–130L career · no lines in 2022
<1%76%24%
3.91
4
Emily Flores
157W–100L career · no lines in 2022
<1%76%23%
3.91
4
Noe Lopez
73W–86L career · no lines in 2022
<1%85%14%
3.86
4
Scott Anders
96W–122L career · no lines in 2022
2%95%3%
3.76
4
Chad Anderson
82W–44L career · 11 lines in 2022
not enough data
4
Indranil Roy
140W–74L career · 9 lines in 2022
not enough data
4
Daniela Hefner
63W–50L career · 6 lines in 2022
3%94%2%
3.74
3.5
Eric Hallingstad
146W–37L career · no lines in 2022
<1%14%86%
3.64
4
Damian Lettieri
71W–28L career · 4 lines in 2022
19%81%<1%
3.61
3.5
Anna Orrison
242W–148L career · no lines in 2022
<1%47%53%
3.51
3.5
Deniz Aygen
149W–60L career · no lines in 2022
<1%84%16%
3.37
3.5
Michael Lundstedt
80W–108L career · no lines in 2022
3%94%2%
3.24
Jo Roby
63W–80L career · 5 lines in 2022
not enough data
Sue Gray
36W–32L career · 4 lines in 2022
not enough data
Yuzhu Zheng
174W–61L career · 9 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.