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Monica Boris

Redmond, WA
3.5C year-end 2025
115 matches · 75W–40L · seasons 20192026
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.

3.13
estimated dynamic rating
Where the rating sits now, on 14 matches this season · USTA never publishes this number
5%
down to 3.0
95%
stay 3.5
0%
up to 4.0

A 3.5 runs from 3.01 to 3.50. This rating sits in the lower half 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
Redmond · 3.5
39 of 43
WA · 3.5
1033 of 1209

Monica 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

Monica has played at 3.0, 3.5 across 8 seasons — 1 move up and 0 down.

2.53.03.520192020202120222023202420252026

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, Monica has gone from the 60th to the 13th percentile of players at that level, 2023 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 level3 levels played
3.0
72.7%
40W–15L · 57.5% of games
3.5
47.8%
11W–12L · 49.1% of games
6.0mixed
64.3%
18W–10L · 57.9% of games

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

Match history115 matches
L
2026-05-30 · #3 Doubles · 3.5 · with Gabi Ifrim
+0.023about as expected — took 28% of games against 27% expected
7-5, 6-0
W
Man Feng / Cynthia Wang
2026-05-17 · #1 Doubles · 3.5 · with Brenda Cheng
+0.003about as expected — took 63% of games against 59% expected
6-3, 6-4
L
2026-05-01 · #2 Doubles · 3.5 · with Nirasha Ramchurren
0.036below expectation — took 8% of games against 34% expected
6-1, 6-0
L
Meagan Milca / Kelly Thompson
2026-04-10 · #1 Doubles · 3.5 · with Lingqing Wang
0.009below expectation — took 37% of games against 43% expected
6-3, 6-4
L
2026-02-27 · #1 Doubles · 3.5 · with Irina Petriuc
0.022below expectation — took 8% of games against 30% expected
6-1, 6-0
W
2026-02-21 · #2 Doubles · 3.5 · with Brenda Cheng
+0.032better than expected — took 86% of games against 63% expected
6-1, 6-1
L
2026-01-31 · #1 Doubles · 3.5 · with Brenda Cheng
+0.006about as expected — took 42% of games against 41% expected
4-6, 6-2, 1-0
L
2026-01-11 · #1 Doubles · 3.5 · with Irina Petriuc
+0.025better than expected — took 50% of games against 39% expected
1-6, 6-2, 1-0
W
Melissa Jamison / John Hainesmixed
2025-11-01 · #3 Doubles · 6.0 · with Lucian Cristache
+0.000better than expected — took 68% of games against 56% expected
6-0, 7-6
W
Yi Zhang / Nan Jiangmixed
2025-10-25 · #3 Doubles · 6.0 · with Lucian Cristache
+0.000better than expected — took 62% of games against 48% expected
7-5, 6-3
L
2025-10-18 · #1 Doubles · 6.0 · with Radu Dragan
+0.000below expectation — took 25% of games against 41% expected
6-1, 6-3
W
Tiffany Chau / David Luu-Vanmixed
2025-10-04 · #1 Doubles · 6.0 · with Filip Bedjovski
+0.000about as expected — took 59% of games against 61% expected
7-6, 6-3
What an account addsprivate to you

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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.