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Sandy Margoles

Seattle, WA
3.0C year-end 2025
62 matches · 29W–33L · seasons 20242026
Bump probability
2.53.03.5lowhigh

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.

3.11
estimated dynamic rating
Where the rating sits now, on 19 matches this season · USTA never publishes this number
0%
down to 2.5
9%
stay 3.0
91%
up to 3.5
Projected to December: 0% down · 50% stay · 50% up, from a year-end estimate of 3.00. Lower than today’s 3.11 because form regresses — players this far above their band partway through a season have historically finished nearer the middle of it. Keep playing at this level and the numbers above are the ones that hold.

A 3.0 runs from 2.51 to 3.00. This rating sits in the top 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
Seattle · 3.0
38 of 397
WA · 3.0
130 of 1529

Sandy 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

Sandy has played at 3.0, 3.5 across 3 seasons — 1 move up and 0 down.

2.53.03.5202420252026

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

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 level4 levels played
2.5
76.9%
10W–3L · 64.5% of games
3.0
45.5%
10W–12L · 52.7% of games
3.5
33.3%
8W–16L · 46% of games
7.0mixed
1W–2L
not enough matches yet

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

Match history62 matches
L
2026-07-26 · #1 Singles · 3.5
0.055below expectation — took 33% of games against 59% expected
6-4, 4-1
L
2026-07-19 · #1 Doubles · 7.0 · with Vivek Sharma
+0.000below expectation — took 44% of games against 59% expected
6-2, 3-6, 1-0
W
2026-07-11 · #2 Doubles · 7.0 · with Mike Mullen
+0.000about as expected — took 56% of games against 52% expected
6-1, 2-6, 1-0
L
2026-06-12 · #3 Doubles · 7.0 · with Richard Golphenee
+0.000better than expected — took 50% of games against 40% expected
3-6, 6-4, 1-0
W
2026-06-10 · #1 Singles · 3.5
0.003about as expected — took 54% of games against 55% expected
7-5, 0-1
W
Jane Lee / Irene Reguera
2026-06-04 · #1 Doubles · 3.5 · with Lindsay Swanson
expectation pending — we're still fetching an opponent's record
6-2, 6-2
W
2026-05-21 · #1 Doubles · 3.5 · with Lindsay Swanson
+0.021better than expected — took 59% of games against 49% expected
7-6, 6-3
L
Emily Wooton / Lisa Wiggins
2026-05-14 · #1 Doubles · 3.5 · with Angelyn Regala
expectation pending — we're still fetching an opponent's record
6-3, 6-3
L
2026-05-01 · #2 Doubles · 3.5 · with Lindsay Swanson
+0.001about as expected — took 43% of games against 43% expected
7-6, 6-4
L
2026-04-24 · #3 Doubles · 3.5 · with Rana Muminoglu
+0.002about as expected — took 56% of games against 52% expected
6-4, 1-6, 1-0
W
2026-04-23 · #1 Doubles · 3.5 · with Angelyn Regala
+0.049better than expected — took 71% of games against 46% expected
6-1, 6-4
L
2026-04-16 · #1 Doubles · 3.5 · with Anna Mondau
expectation pending — we're still fetching an opponent's record
6-3, 6-0
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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.