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Kye Paik

Gig Harbor, WA
3.5C year-end 2025
53 matches · 38W–15L · seasons 20252026
Bump probability
3.03.54.0lowhigh

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.

3.46
estimated dynamic rating
Where the rating sits now, on 27 matches this season · USTA never publishes this number
0%
down to 3.0
71%
stay 3.5
29%
up to 4.0
Projected to December: 0% down · 92% stay · 8% up, from a year-end estimate of 3.39. Lower than today’s 3.46 because form regresses — players this far into 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 3.5 runs from 3.01 to 3.50. 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
Gig Harbor · 3.5
2 of 14
WA · 3.5
153 of 1209

Kye 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

Kye has been a steady 3.5 across all 2 seasons on record.

3.03.520252026

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 3.5, Kye has gone from the 79th to the 81st percentile of players at that level, 2025 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 level1 levels played
3.5
72.5%
37W–14L · 58.2% of games

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

Match history53 matches
W
2026-07-30 · #1 Doubles · 3.5 · with Mary Sheryll Tan
0.029about as expected — took 71% of games against 74% expected
6-1, 6-4
W
2026-07-14 · #1 Doubles · 3.5 · with Mary Sheryll Tan
+0.039better than expected — took 75% of games against 54% expected
6-1, 6-3
L
2026-06-22 · #1 Doubles · 3.5 · with Mary Sheryll Tan
+0.007about as expected — took 48% of games against 44% expected
7-5, 5-7, 1-0
W
2026-06-13 · #1 Doubles · 3.5 · with Mary Sheryll Tan
0.008about as expected — took 62% of games against 62% expected
7-6, 6-2
W
2026-06-07 · #2 Doubles · 3.5 · with Jennifer Ivester
0.007about as expected — took 59% of games against 60% expected
6-4, 7-5
W
2026-06-06 · #2 Doubles · 3.5 · with Mary Sheryll Tan
+0.005about as expected — took 63% of games against 59% expected
6-4, 6-3
W
2026-05-09 · #3 Doubles · 3.5 · with Emily Qi
+0.038better than expected — took 80% of games against 58% expected
6-1, 6-2
W
Hiroe Puckett / Pimwalan Churchill
2026-05-03 · #1 Doubles · 3.5 · with Mary Sheryll Tan
0.011about as expected — took 65% of games against 65% expected
6-2, 7-5
W
2026-04-28 · #1 Doubles · 3.5 · with Mary Sheryll Tan
+0.023better than expected — took 59% of games against 48% expected
7-5, 6-4
W
Briana Slater / Kristen Taylor
2026-04-26 · #1 Doubles · 3.5 · with Susan Mills
0.006about as expected — took 55% of games against 57% expected
6-3, 5-7, 1-0
W
2026-04-24 · #2 Doubles · 3.5 · with Mary Sheryll Tan
+0.008about as expected — took 55% of games against 51% expected
5-7, 6-3, 1-0
L
2026-04-18 · #2 Doubles · 3.5 · with Pam Sutton
0.018below expectation — took 48% of games against 55% expected
4-6, 7-5, 1-0
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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.