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Stefanie Kreiger

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MILFORD, CT
3.5C year-end 2025
i
Computer — generated by the USTA algorithm from match play
235 matches · 120W–115L · seasons 2018–2026
Match history235 matches
L
2026-11-01 · MIT:Dream Team:Nava/Nolan · #3 Doubles · 3.5 · with CHRISTINE CHARLES
loading the estimate
3-6, 6-2, 0-1
L
2026-10-18 · MIT:Dream Team:Nava/Nolan · #1 Singles · 3.5
loading the estimate
0-6, 7-6, 0-1
L
2026-10-18 · MIL: MID COURT CRISIS: Orban/Matos · #2 Doubles · 3.5 · with Sabrina Marques
loading the estimate
4-6, 3-6
W
2026-10-16 · MIT:40+ Mixed 7.0:Kreiger/Lorenzetti · #2 Doubles · 7.0 · with Laurent Zazzera mixed
doesn’t count toward your NTRP rating
7-6, 6-4
W
2026-10-11 · MIL: MID COURT CRISIS: Orban/Matos · #1 Singles · 3.5
loading the estimate
6-4, 6-4
W
2026-10-04 · MIT:40+ Mixed 7.0:Kreiger/Lorenzetti · #2 Doubles · 7.0 · with Laurent Zazzera mixed
doesn’t count toward your NTRP rating
5-7, 6-3, 1-0
L
2026-09-27 · MIL: MID COURT CRISIS: Orban/Matos · #3 Doubles · 3.5 · with Daisy Qin
loading the estimate
7-5, 3-6, 0-1
W
2026-07-19 · MIT:In It To Win It: Nava/Haven · #1 Doubles · 7.0 · with Lynn Atkins
loading the estimate
5-7, 6-2, 1-0
W
2026-07-12 · MIT:Give Me a Break:Walsky/Pillig · #1 Singles · 3.5
loading the estimate
7-5, 5-3
W
2026-07-11 · MIT:In It To Win It: Nava/Haven · #1 Doubles · 7.0 · with Lynn Atkins
loading the estimate
4-6, 6-4, 1-0
L
2026-06-20 · MIL: Seasoned Servers: Consiglio · #2 Doubles · 7.0 · with James Webb mixed
doesn’t count toward your NTRP rating
3-6, 4-6
L
2026-06-13 · MIT:In It To Win It: Nava/Haven · #1 Doubles · 7.0 · with Terry Nolan
loading the estimate
3-6, 2-6
Where you rank locallyagainst everyone at your level
Teams64 teams · 2019–2027
Over timerating by season, and how you rank
By level5 levels played
3.0
80%
24W–6L · 61.9% of games
3.5
41.5%
49W–69L · 46.4% of games
7.0
52.6%
10W–9L · 52.6% of games
6.0mixed
61.1%
11W–7L · 54.8% of games
7.0mixed
52%
26W–24L · 49.7% of games

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

By lineusually #1 Singles, 37% of the time
#1 Singles
37%
86 matches
#1 Doubles
25%
59 matches
#3 Doubles
19%
44 matches
#2 Doubles
17%
40 matches
#2 Singles
2%
4 matches
#1 Female Singles
1%
2 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.

Every match is a story with a beginning, a middle and an end, and you are writing it as you go.
Chris Evert