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Michael Neusch

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San Diego, CA
3.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
4 matches · 0W–4L · seasons 2023–2023
Match history4 matches
L
2023-06-04 · SD 4.0 LJTC (2:3)/ Watton · #3 Doubles · 4.0 · with Hamid Moradi
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1-6, 1-6
L
2023-05-21 · SD 4.0 LJTC (2:3)/ Watton · #3 Doubles · 4.0 · with Brian Zimmerman
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3-6, 4-6
L
2023-05-07 · SD 4.0 LJTC (2:3)/ Watton · #2 Doubles · 4.0 · with Hamid Moradi
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2-6, 0-6
L
2023-04-02 · SD 4.0 LJTC (2:3)/ Watton · #3 Doubles · 4.0 · with Brian Zimmerman
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0-6, 7-5, 0-1
Where you rank locallyagainst everyone at your level
Teams1 team
Over timerating by season, and how you rank
By level1 level played
4.0
0%
0W–4L · 27.3% of games

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

By lineusually #3 Doubles, 75% of the time
#3 Doubles
75%
3 matches
#2 Doubles
25%
1 match

How often, across every team and every match we hold — including ones that do not count toward a rating. Advanced stats has a court-position table too, and it answers a different question: how well you do there, over matches that count. A team’s own page shows how that one team uses you.

Not affiliated with or endorsed by the USTA. Ratings labelled as published are USTA year-end figures; anything we describe as an estimate is ours, not USTA’s. Match data is from USTA TennisLink.

It’s one of the reasons why I like tennis so much. Because you have to figure it out on your own.
Roger Federer