Teams

Aces 12.0 Tri

Adult Tri-Level League · Tri Level Men 3.5-4.5 Saturday

16 players · average NTRP 3.81 / PHILADELPHIA

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Flight standings7 teams · Tri Level Men 3.5-4.5 Saturday
TeamWLInd. WInd. LSets lostGames lost
1United 4.5 Tri000000
2Great Valley 12.0000000
3Aces 12.0 Tri000000
4We Canh Do It 4.5000000
5Naylor's Run000000
6Upper Dublin Wolfhounds000000
7Trust the Process000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

ScoutingWhere each opponent usually plays

Signed-in extra: whether this captain plays strict strength order or mixes it up, from every doubles line they have put out. Create a free account to see it.

Roster averages 3.76 estimated across 13 rated players. No lineup is published in advance, so the column below is where each player has actually been used — a captain's habits are the best available forecast. Sign in and claim your record to see who you have played.

Craig Evans
published 4.5
4.17
Sourin Banerji
published
4.10
John Bishop
published
4.06
Narayanan Iyer
published
3.92
Deepak Rajendran
published 4
3.91
Vikram Dayalu
published
3.88
Venkata Puvvadi
published
Alex Mestre
published 4
3.66
Praburaj Thangaraj
published
3.61
Mukund Pai
published 4
3.59
Santosh Gaikwad
published
3.54
3.53
Praveen Palani
published
3.50
3.39
Hemant Patel
published 3.5
Amrit Tewary
published 3.5
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

Vikram Dayalu + Balaji Balasubramanian6071% games+12.9% vs expected
Vikram Dayalu + Narayanan Iyer12169% games+12.5% vs expected
Deepak Rajendran + Venkata Puvvadi9358% games+1.2% vs expected
Praburaj Thangaraj + John Bishop6065% gamesnot enough data
Balaji Balasubramanian + Praveen Palani5168% gamesnot enough data
Hemant Patel + Anversha Shahulhameed5073% gamesnot enough data
Balaji Balasubramanian + Narayanan Iyer404 matchesnot enough data
Mukund Pai + Amrit Tewary303 matchesnot enough data
Roster

Ordered by our estimated dynamic rating, which is why two players at the same published level are not tied — a published 4.0 says nothing about where inside the band someone sits. Lines played in this team’s season are shown beside each name.

4.5
Craig Evans
51W–53L career · no lines in 2026
not enough data
Sourin Banerji
19W–25L career · no lines in 2026
10%90%1%
4.17
John Bishop
114W–49L career · no lines in 2026
22%78%<1%
4.10
Narayanan Iyer
57W–11L career · no lines in 2026
<1%32%68%
4.06
4
Deepak Rajendran
18W–7L career · no lines in 2026
<1%73%27%
3.92
Vikram Dayalu
34W–4L career · no lines in 2026
<1%75%24%
3.91
Venkata Puvvadi
35W–14L career · no lines in 2026
<1%83%17%
3.88
4
Alex Mestre
2W–0L career · type S · no lines in 2026
not enough data
Praburaj Thangaraj
96W–123L career · no lines in 2026
11%88%<1%
3.66
4
Mukund Pai
179W–130L career · no lines in 2026
20%80%<1%
3.61
Santosh Gaikwad
152W–122L career · no lines in 2026
24%75%<1%
3.59
3.5
Balaji Balasubramanian
25W–3L career · no lines in 2026
<1%38%62%
3.54
Praveen Palani
21W–6L career · no lines in 2026
<1%42%58%
3.53
3.5
Anversha Shahulhameed
7W–0L career · type S · no lines in 2026
<1%49%51%
3.50
3.5
Hemant Patel
29W–17L career · no lines in 2026
<1%79%21%
3.39
3.5
Amrit Tewary
123W–40L career · no lines in 2026
not enough data

Three percentages are where each player stands right now: the chance they are below their band, inside it, or above it, on the way they are playing this season. The number on the right is our estimated dynamic rating, which USTA never publishes. This is today rather than a forecast of December, because a forecast has to assume future matches and cannot know whether someone will even be offered them. Percentages are blank where a player has too few matches this season, or at a level where the model does not yet beat a base-rate guess; the estimate is a weaker claim than a probability and survives where those do not.

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.