Teams

MOUNTAIN VIEW TC/RENGSTORFF PK 18AM3.5A

2025 ADULT 18&Over · Men's 3.5

23 players · average NTRP 3.67 / NO. CALIFORNIA

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 standings for Men's 3.5 have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.49 estimated across 21 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.

3.87
Rohan Jacob-Rao
published
3.85
Aaron Bloom
usually #1 Singles 100% · published 4
3.77
Sean Felder
usually #3 Doubles 100% · published
3.75
Wade Conklin
published
3.69
Chris Ling
usually #1 Doubles 100% · published 4
3.67
Jair Saavedra
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.63
Paul Kwon
published
3.57
Jaron Ivan Bernardo
published
3.50
Reiji Hirayama
published
3.49
Nad Karim
published
3.47
David Wei
published 3.5
3.42
William Africa
published
3.42
Binh Lieu
published 3.5
3.42
Akhil Hazari
published 3.5
3.37
Patrick Herbert
published
3.36
Richard Zhao
published
3.33
Nhan Nguyen
published
3.26
Jeremy Qiao Chen
published
3.21
Seth Randle
published
3.10
David Lucas
published 3.5
3.05
Todd Young
published
Harsha Laxman
published
William Haberkorn
published
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.

Wade Conklin + Aaron Bloom3551% games+5.2% vs expected
David Wei + Todd Young213 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.

Rohan Jacob-Rao
12W–5L career · no lines in 2025
<1%83%17%
3.87
4
Aaron Bloom
16W–14L career · 1 line in 2025
1%85%15%
3.85
Sean Felder
12W–7L career · 1 line in 2025
3%92%5%
3.77
Wade Conklin
20W–19L career · no lines in 2025
<1%4%96%
3.75
4
Chris Ling
33W–25L career · 2 lines in 2025
8%90%1%
3.69
Jair Saavedra
16W–16L career · 2 lines in 2025
<1%11%89%
3.67
Paul Kwon
24W–16L career · no lines in 2025
19%81%<1%
3.63
Jaron Ivan Bernardo
2W–7L career · no lines in 2025
>99%<1%<1%
3.57
Reiji Hirayama
17W–8L career · no lines in 2025
<1%50%50%
3.50
Nad Karim
13W–12L career · no lines in 2025
<1%53%47%
3.49
3.5
David Wei
16W–9L career · no lines in 2025
<1%57%43%
3.47
William Africa
16W–14L career · no lines in 2025
<1%70%30%
3.42
3.5
Binh Lieu
12W–2L career · no lines in 2025
<1%71%29%
3.42
3.5
Akhil Hazari
3W–3L career · no lines in 2025
<1%72%28%
3.42
Patrick Herbert
9W–9L career · no lines in 2025
<1%82%18%
3.37
Richard Zhao
15W–11L career · no lines in 2025
<1%83%16%
3.36
Nhan Nguyen
14W–15L career · no lines in 2025
1%88%11%
3.33
Jeremy Qiao Chen
23W–15L career · no lines in 2025
3%93%4%
3.26
Seth Randle
5W–7L career · no lines in 2025
6%92%2%
3.21
3.5
David Lucas
6W–10L career · no lines in 2025
23%76%<1%
3.10
Todd Young
7W–8L career · no lines in 2025
36%64%<1%
3.05
Harsha Laxman
1W–1L career · no lines in 2025
not enough data
William Haberkorn
1W–0L career · no lines in 2025
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.