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Tiffany Geisz

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Minneapolis, MN
2.5C year-end 2023
i
Computer — generated by the USTA algorithm from match play
5 matches · 2W–3L · seasons 2023–2026
Match history5 matches
L
2026-05-28 · Butwin ORCC · #3 Doubles · 3.0 · with Alexandra Nelson
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1-6, 4-6
W
2023-06-29 · Stott- ECC 3.0 18+ S23 · #3 Doubles · 3.0 · with Carrie Ganje
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6-4, 1-6, 1-0
L
2023-06-15 · Stott- ECC 3.0 18+ S23 · #3 Doubles · 3.0 · with Elizabeth Padesky
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2-6, 1-6
W
2023-06-08 · Stott- ECC 3.0 18+ S23 · #3 Doubles · 3.0 · with Hilary Lunke
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7-6, 6-2
L
2023-06-01 · Stott- ECC 3.0 18+ S23 · #3 Doubles · 3.0 · with Elizabeth Padesky
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3-6, 0-6
Where you rank locallyagainst everyone at your level
Teams2 teams · 2023–2026
Over timerating by season, and how you rank
By level1 level played
3.0
40%
2W–3L · 37.2% of games

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

By lineusually #3 Doubles, 100% of the time
#3 Doubles
100%
5 matches

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