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Ian Curran

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Portland, ME
3.0C year-end 2025
i
Computer — generated by the USTA algorithm from match play
6 matches · 1W–5L · seasons 2024–2025
Match history6 matches
L
2025-09-04 · Apex:Koroski · #1 Doubles · 3.0 · with Gregory Mccue
loading the estimate
2-6, 1-6
L
2025-07-22 · Apex:Koroski · #1 Doubles · 3.0 · with Cameron Brogdon
loading the estimate
1-6, 2-6
W
2025-05-31 · Apex:Racketeers2.0:Douglass · #2 Doubles · 3.0 · with Paul Koroski
loading the estimate
6-3, 6-4
L
2024-11-03 · APEX:InfiniteJesters:Stodder · #1 Doubles · 3.0 · with Jon Courtney
loading the estimate
3-6, 2-6
L
2024-10-19 · APEX:InfiniteJesters:Stodder · #1 Doubles · 3.0 · with Mark Stodder
loading the estimate
6-3, 2-6, 0-1
L
2024-10-19 · APEX:InfiniteJesters:Stodder · #1 Doubles · 3.0 · with Tim Tyler
loading the estimate
3-6, 2-6
Where you rank locallyagainst everyone at your level
Teams3 teams · 2024–2025
Over timerating by season, and how you rank
By level1 level played
3.0
16.7%
1W–5L · 35.6% of games

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

By lineusually #1 Doubles, 83% of the time
#1 Doubles
83%
5 matches
#2 Doubles
17%
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.

What matters isn’t how well you play when you’re playing well. What matters is how well you play when you’re playing badly.
Martina Navratilova