Elizabeth Franco
Pittsburgh, PA
50 matches · 13W–37L · seasons 2022–2026
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Match history50 matches
W
expectation pending — we’re still fetching an opponent’s record
6-4, 6-7, 1-0
L
expectation pending — we’re still fetching an opponent’s record
6-4, 3-6, 0-1
L
expectation pending — we’re still fetching an opponent’s record
6-4, 2-6, 0-1
L
expectation pending — we’re still fetching an opponent’s record
1-6, 4-6
L
expectation pending — we’re still fetching an opponent’s record
1-6, 1-6
Where you rank locallyagainst everyone at your level
Teams8 teams · 2023–2026
Over timerating by season, and how you rank
By level3 levels played
3.0
22.7%
5W–17L · 36.8% of games
6.0mixed
42.1%
8W–11L · 48.4% of games
7.0mixed
0%
0W–9L · 22.1% of games
Games won matters more than matches won — NTRP adjusts on margins.
By lineusually #3 Doubles, 42% of the time
#3 Doubles
42%
21 matches
#2 Doubles
26%
13 matches
#1 Doubles
22%
11 matches
#2 Singles
4%
2 matches
#4 Doubles
4%
2 matches
#1 Singles
2%
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.
Tennis is mostly mental. You win or lose the match before you even go out there.