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Skanda Iyer

Bothell, WA
4.0C year-end 2025
155 matches · 82W–73L · seasons 20202026
Bump probability
3.54.04.5lowhigh

Where this rating stands today. Taller means more likely. The dashed lines are the band edges, and the three shaded areas are the three percentages below.

3.58
estimated dynamic rating
Where the rating sits now, on 25 matches this season · USTA never publishes this number
15%
down to 3.5
85%
stay 4.0
0%
up to 4.5
Projected to December: 10% down · 90% stay · 0% up, from a year-end estimate of 3.60. Higher than today’s 3.58 because players this far below their band have historically finished nearer the middle of it.

A 4.0 runs from 3.51 to 4.00. This rating sits in the bottom of the band, and every match moves it.

Our estimate, not a USTA figure — scale measured at this point of 2023 on 2160 players. Graded publicly in December when USTA publishes year-end ratings. It moves when you play, and occasionally when we improve the model.

Where you rank
Bothell · 4.0
16 of 19
WA · 4.0
592 of 782

Skanda is ranked among players at the same level in the same place, by our estimated dynamic rating — not the published level, which is the same for everyone in the band. Groups smaller than five are not ranked, because a placing out of two is noise dressed as standing.

Over timerating by season, and how you rank
Rating by season

Skanda has played at 3.0, 3.5, 4.0 across 7 seasons — 2 moves up and 0 down.

2.53.03.54.02020202120222023202420252026

The line is our estimate; the horizontal lines are level boundaries, so crossing one is a bump. Hollow points are years we inferred from the level played the following season, because USTA publishes a current rating but no history.

How you rank at your level
At 4.0, Skanda has gone from the 24th to the 29th percentile of players at that level, 2022 to 2026.

Percentile compares the same level in the same season, by share of games won. Mixed is shown for context — USTA rules exclude it from your adult rating unless mixed is all you play.

By level6 levels played
3.0
89.5%
17W–2L · 63.8% of games
3.5
62.5%
30W–18L · 53.8% of games
4.0
46.6%
27W–31L · 46% of games
4.5
0%
0W–12L · 29.5% of games
7.0mixed
54.5%
6W–5L · 47.3% of games
8.0mixed
16.7%
1W–5L · 43% of games

Games won matters more than matches won — NTRP adjusts on margins.

Match history155 matches
L
Natalie Pryde / Brett Shellmixed
2026-07-18 · #1 Doubles · 8.0 · with Michelle Neal
+0.000better than expected — took 55% of games against 45% expected
7-6, 2-6, 1-0
L
2026-06-28 · #3 Doubles · 8.0 · with Michelle Neal
+0.000about as expected — took 37% of games against 40% expected
6-4, 6-3
L
Jason Kim / Joshua Glick
2026-06-07 · #2 Doubles · 4.5 · with Steve McRae
0.040below expectation — took 8% of games against 35% expected
6-1, 6-0
L
Steven Luong
2026-06-06 · #1 Singles · 4.0
0.052below expectation — took 25% of games against 52% expected
6-3, 6-1
L
2026-05-31 · #2 Singles · 4.5
+0.043better than expected — took 33% of games against 24% expected
6-3, 6-3
L
Vivek Savsani
2026-05-30 · #1 Singles · 4.0
0.022below expectation — took 32% of games against 44% expected
7-5, 6-1
L
Zachary Chen / Brandon Nakata
2026-05-23 · #3 Doubles · 4.5 · with Madhur Joshi
0.028below expectation — took 33% of games against 48% expected
6-3, 6-3
L
Vincent Lin / Percy Pan
2026-05-17 · #2 Doubles · 4.5 · with Yehu Chen
0.056below expectation — took 14% of games against 45% expected
6-1, 6-1
L
Will Millar
2026-05-16 · #2 Singles · 4.0
0.059below expectation — took 32% of games against 59% expected
7-5, 6-1
L
2026-05-03 · #2 Doubles · 4.5 · with ATUL ALATKAR
+0.005about as expected — took 38% of games against 39% expected
6-2, 7-6
L
2026-05-02 · #2 Doubles · 4.5 · with Lyle Li
+0.014about as expected — took 44% of games against 39% expected
7-6, 7-5
L
Manish Dalal
2026-04-25 · #2 Singles · 4.5
+0.069better than expected — took 43% of games against 20% expected
7-6, 6-4
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Not affiliated with or endorsed by the USTA. Rating shown is the published USTA year-end figure; match data is from USTA TennisLink.