Teams

Buckhorn - O. Cantu

2025 Hillsborough Adult 40 & Over · 3.5 Adult 40 & Over - Men

11 players · average NTRP 3.33 / REGION_3

View scouting list →
Schedule2 played
2025-05-17vs Hunters Green Jackets - M. WarrenLost 13
L#1 DoublesShawn Rasmussen / Daniel Espinoza vs Matthew Warren / Ken Kranick0-6, 1-6
L#1 SinglesOmar Cantu vs Manoj Krishna Kumar Unni6-3, 2-6, 0-1
W#2 DoublesArun Lamba / Luis Tur vs Robert Soriano / John Phillips6-4, 6-3
L#3 DoublesDavid Jordy / Bertin Evina-Ze vs David Mardo / Randall Smith6-0, 5-7, 0-1
2025-05-10vs Tampa Yacht - C. FrierLost 13
L#1 DoublesDavid Jordy / Shawn Rasmussen vs Michael Mariani / Jacob Munch0-6, 0-6
L#1 SinglesOmar Cantu vs Nicholas Fifer6-4, 4-6, 0-1
W#2 DoublesJeremy Stuart / Luis Tur vs Lee Gunn / Hunt James7-5, 6-2
L#3 DoublesDaniel Espinoza / Bertin Evina-Ze vs Dan Burns / James Baker1-6, 1-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 3.5 Adult 40 & Over - Men 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 3.12 estimated across 11 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.

3.38
Arun Lamba
usually #2 Doubles 100% · published 3.5
3.29
Jeremy Stuart
usually #2 Doubles 100% · published
3.26
Scott Tashman
published
3.25
Edward Colihan
published
3.25
Omar Cantu
usually #1 Singles 100% · published
3.09
3.08
Daniel Espinoza
usually #3 Doubles 50%, also #1 Doubles 50% · published 3
3.07
Luis Tur
usually #2 Doubles 100% · published
3.06
David Jordy
usually #1 Doubles 50%, also #3 Doubles 50% · published 3.5
2.91
Shawn Rasmussen
usually #1 Doubles 100% · published
2.73
Jordan Murray
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.

Omar Cantu + Daniel Espinoza213 matchesnot enough data
Shawn Rasmussen + Daniel Espinoza123 matchesnot enough data
Jeremy Stuart + Edward Colihan123 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.

3.5
Arun Lamba
7W–5L career · 1 line in 2025
<1%80%19%
3.38
Jeremy Stuart
3W–5L career · 1 line in 2025
2%92%6%
3.29
Scott Tashman
2W–5L career · no lines in 2025
3%92%4%
3.26
Edward Colihan
1W–2L career · no lines in 2025
3%93%4%
3.25
Omar Cantu
5W–13L career · 2 lines in 2025
4%93%4%
3.25
Kiran Dwarakanath Mane
3W–10L career · no lines in 2025
27%73%<1%
3.09
3
Daniel Espinoza
11W–10L career · 2 lines in 2025
<1%28%72%
3.08
Luis Tur
8W–21L career · 2 lines in 2025
30%70%<1%
3.07
3.5
David Jordy
1W–7L career · 2 lines in 2025
34%66%<1%
3.06
Shawn Rasmussen
15W–22L career · 2 lines in 2025
<1%75%25%
2.91
Jordan Murray
3W–10L career · no lines in 2025
5%92%3%
2.73

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.