SAC-Natarajan

2026 Adult 18 & Over · 4.0 Men

10 players · average NTRP 4 · USTA/PACIFIC NW / NORTHERN OREGON

Scouting

Roster averages 3.66 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.

3.84

Richard Shih

usually #3 Doubles 44%, also #1 Doubles 33% · published 4

3.84

Deepak Selvanathan

usually #1 Doubles 50%, also #3 Doubles 25% · published 4

3.82

Michael Ollinger

usually #3 Doubles 40%, also #1 Singles 20% · published 4

3.67

Daniel Pantuso

usually #2 Doubles 75%, also #3 Doubles 25% · published 0

3.67

Vijay Ranganathan

usually #3 Doubles 43%, also #1 Singles 43% · published 4

3.66

Martin von Haartman

usually #3 Doubles 75%, also #2 Doubles 25% · published 4

3.61

Eddie Shin

usually #2 Doubles 60%, also #3 Doubles 20% · published 4

3.52

Vimal Natarajan

usually #3 Doubles 40%, also #2 Singles 40% · published 4

3.48

Eric Means

usually #3 Doubles 50%, also #2 Doubles 50% · published 4

3.45

Vikram Sitaram

usually #2 Singles 60%, also #2 Doubles 20% · published 4

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.

Richard Shih

7W–49L career

0%97%3%

3.84

Deepak Selvanathan

64W–74L career

1%95%4%

3.84

Michael Ollinger

24W–15L career

0%97%2%

3.82

Daniel Pantuso

8W–13L career

8%92%0%

3.67

Vijay Ranganathan

8W–24L career

6%94%0%

3.67

Martin von Haartman

140W–50L career

5%95%0%

3.66

Eddie Shin

44W–16L career

13%87%0%

3.61

Vimal Natarajan

78W–95L career

27%73%0%

3.52

Eric Means

26W–48L career

40%60%0%

3.48

Vikram Sitaram

17W–11L career

48%52%0%

3.45

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. 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.