Teams

IND-Johnson

2021 Coed 18-39 · 3.5 Coed

7 players · average NTRP 3.42 / NORTHWEST WASHINGTON

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Schedule6 played
L#1 Female DoublesAnnie Johnson / Samantha MacDuff vs Lindsey Holtgraves / Carly Holtgraves3-5
W#1 Male DoublesNathan Linden / Martin Krimmel vs Omid Behzadian / Uday Sangar5-3
L#1 Male SinglesMartin Krimmel vs Uday Sangar4-5
L#1 Female SinglesAnnie Johnson vs Theresa Chau2-6
L#1 Male SinglesMartin Krimmel vs Jonathan Ip1-6
2021-04-02vs MC-Cats-LeeLost 03
L#1 Female DoublesAnnie Johnson / Xue Song vs Ashley Jay / Abhinaya Raghothaman3-5
L#1 Female SinglesAnnie Johnson vs Ashley Jay2-6
L#1 Male SinglesNathan Linden vs Teppei Karasawa4-4
L#1 Female SinglesAnnie Johnson vs Elizaveta Hermann4-5
L#1 Male SinglesNathan Linden vs Jonathan Ip1-6
L#1 Female DoublesAnnie Johnson / Xue Song vs Lindsey Holtgraves / Carly Holtgraves3-5
L#1 Female SinglesLisa Perry vs Carly Holtgraves3-5
L#1 Male DoublesKaran Kohli / Nathan Linden vs Omid Behzadian / Will Zhao4-6
L#1 Male SinglesMartin Krimmel vs Will Zhao3-4
2021-03-12vs MC-Cats-LeeLost 03
L#1 Female DoublesSamantha MacDuff / Xue Song vs Ashley Jay / Rene Noeun3-5
L#1 Female SinglesAnnie Johnson vs Abhinaya Raghothaman3-4
L#1 Male DoublesAlan Utria / Nathan Linden vs Lynn Maung / Andrew Lee0-6
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 standings8 teams · 3.5 Coed
TeamWLInd. WInd. LSets lostGames lost
1MC-Cats-Lee06342294
2ETC-Pham 3.506261010125
3AYTC-Simply Smashing-Leeton Misleh06241212121
4IND-Hustle, hit and never quit-Leeton Misleh06191714136
5IND-Yeet Fleet-Vich06132319160
6WSC-Float like a Butterfly! Hawkins06142220173
7BTA-Party Tennis-Casimo0692726183
8IND-Johnson0653130186

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 3.23 estimated across 6 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.

3.49
Nathan Linden
usually #1 Male Doubles 60%, also #1 Male Singles 40% · published 3.5
3.32
Martin Krimmel
usually #1 Male Singles 100% · published 3.5
3.31
Lisa Perry
usually #1 Female Singles 100% · published 3.5
3.30
Megan Hill
published 3.5
3.15
Xue Song
usually #1 Female Doubles 100% · published 3.5
2.79
Annie Johnson
usually #1 Female Singles 67%, also #1 Female Doubles 33% · published 3
Karan Kohli
published
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 Linden
37W–25L career · 5 lines in 2021
<1%54%46%
3.49
3.5
Martin Krimmel
43W–49L career · 3 lines in 2021
1%91%8%
3.32
3.5
Lisa Perry
54W–58L career · 1 line in 2021
1%92%8%
3.31
3.5
Megan Hill
57W–38L career · no lines in 2021
1%93%6%
3.30
3.5
Xue Song
25W–27L career · 3 lines in 2021
12%88%<1%
3.15
3
Annie Johnson
43W–63L career · 6 lines in 2021
1%93%5%
2.79
Karan Kohli
0W–1L career · no lines in 2021
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.