Teams

Wood Ranch Tri Tippers

2026 SoCal Tri-Level 18 & Over - Ventura · Ventura - Men 4.5

15 players · average NTRP 3.92 / SO.CALIFORNIA

View scouting list →
Schedule6 played
2026-08-30vs Las Posas CCWon 21
W#1 DoublesPatrick Williams / Jeremy Tuite vs Brent Wakatsuki / Gary Lieb2-6, 6-4, 1-0
W#2 DoublesJim Yarnall / Scott Adams vs Carlos Tamayo / David Kanongataa7-6, 6-3
L#3 DoublesJeremy Corley / Jonathan Trombley vs Tyson Lundring / Dustin Ihde5-7, 6-4, 0-1
2026-08-20vs Spanish/Moranda TriSplit 11
L#1 DoublesPatrick Williams / Ankur Chadda vs Craig Mansour / Vikrum Nanda6-7, 2-6
W#3 DoublesJeremy Corley / Rodrigo Retamoza vs Charlie Kimball / Brooks Marshall6-3, 6-0
2026-08-09vs Wood Ranch Tri BallersWon 30
W#1 DoublesMartin Lotz / Jonathan Fersht vs Jozsef Feher Jr / Todd Nagler3-6, 6-0, 1-0
W#2 DoublesDave Faciana / Jeff Carter vs Kristofer Anderson / Andre Guerzet6-4, 6-3
W#3 DoublesJeremy Corley / Artin Davodian vs Marc Roaquin / Michael Pazirandeh6-3, 6-1
2026-08-02vs Las Posas CCWon 21
L#1 DoublesMartin Lotz / Ankur Chadda vs Carter Erickson / Prashant Verma4-6, 3-6
W#2 DoublesMark Lipsky / Jeff Carter vs Craig Myers / David Kanongataa4-6, 6-4, 1-0
W#3 DoublesJeremy Corley / Artin Davodian vs Emilio Pozzi / William Dobbins6-1, 6-1
2026-07-29vs North Ranch PlayersWon 21
L#1 DoublesMartin Lotz / Harry Mapanda vs Jackson Ellis / Kevin Marks6-2, 2-6, 0-1
W#2 DoublesDave Faciana / Jeff Carter vs Jordan Riessen / Brian Forster4-6, 6-2, 1-0
W#3 DoublesJeremy Corley / Miguel Delgado vs Sean Stuart / Greg Augustine6-4, 6-2
2026-07-12vs Spanish/Moranda TriWon 30
W#1 DoublesMartin Lotz / Jeremy Tuite vs Ryan Rollins / David Tovar6-3, 7-6
W#2 DoublesDave Faciana / Jonathan Monteverdi vs Michael Beaudry / Hieu Nguyen6-3, 6-1
W#3 DoublesJeremy Corley / Rodrigo Retamoza vs Jeffrey Moore / Adam Thomas5-1
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 standings4 teams · Ventura - Men 4.5
TeamWLInd. WInd. LSets lostGames lost
1Wood Ranch Tri Tippers40102778
2Wood Ranch Tri Ballers328717129
3North Ranch Players226616113
4Spanish/Moranda Tri031817104

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 3.87 estimated across 15 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.

4.37
Jonathan Fersht
usually #1 Doubles 100% · published
4.33
Martin Lotz
usually #1 Doubles 100% · published
4.17
Harry Mapanda
usually #1 Doubles 100% · published 4.5
4.12
Ankur Chadda
usually #1 Doubles 100% · published 4.5
4.02
Jeremy Tuite
usually #1 Doubles 100% · published
3.92
Jeff Carter
usually #2 Doubles 100% · published
3.89
Jim Yarnall
usually #2 Doubles 100% · published
3.84
Jonathan Monteverdi
usually #2 Doubles 100% · published
3.83
Dave Faciana
usually #2 Doubles 100% · published 4
3.79
Mark Lipsky
usually #2 Doubles 100% · published
3.78
Jonathan Trombley
usually #3 Doubles 100% · published
3.64
Artin Davodian
usually #3 Doubles 100% · published 3.5
3.58
Rodrigo Retamoza
usually #3 Doubles 100% · published 3.5
3.46
Jeremy Corley
usually #3 Doubles 100% · published 3.5
3.24
Miguel Delgado
usually #3 Doubles 100% · 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.

Jeremy Corley + Rodrigo Retamoza10462% games+5.1% vs expected
Martin Lotz + Harry Mapanda224 matchesnot enough data
Martin Lotz + Jeremy Tuite224 matchesnot enough data
Dave Faciana + Mark Lipsky314 matchesnot enough data
Ankur Chadda + Martin Lotz123 matchesnot enough data
Jeremy Corley + Artin Davodian303 matchesnot enough data
Dave Faciana + Jeff Carter213 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.

Jonathan Fersht
12W–3L career · 1 line in 2026
<1%84%15%
4.37
Martin Lotz
10W–10L career · 4 lines in 2026
1%90%10%
4.33
4.5
Harry Mapanda
130W–41L career · 1 line in 2026
10%90%1%
4.17
4.5
Ankur Chadda
6W–13L career · 2 lines in 2026
18%82%<1%
4.12
Jeremy Tuite
16W–7L career · 2 lines in 2026
44%56%<1%
4.02
Jeff Carter
7W–3L career · 3 lines in 2026
<1%74%26%
3.92
Jim Yarnall
6W–3L career · 1 line in 2026
<1%79%21%
3.89
Jonathan Monteverdi
5W–0L career · 1 line in 2026
<1%88%11%
3.84
4
Dave Faciana
9W–5L career · 3 lines in 2026
1%90%9%
3.83
Mark Lipsky
13W–4L career · 1 line in 2026
1%94%5%
3.79
Jonathan Trombley
3W–4L career · 1 line in 2026
95%5%<1%
3.78
3.5
Artin Davodian
167W–59L career · 2 lines in 2026
<1%14%86%
3.64
3.5
Rodrigo Retamoza
115W–72L career · 2 lines in 2026
<1%26%74%
3.58
3.5
Jeremy Corley
65W–32L career · 6 lines in 2026
<1%61%39%
3.46
Miguel Delgado
5W–8L career · 1 line in 2026
3%94%2%
3.24

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.