Teams

FC-General Mon Calpe

2022 Adult 40 & Over · 3.5 Men

13 players · average NTRP 3.29 / NORTHWEST WASHINGTON

View scouting list →
Schedule8 played
2022-02-26vs STC-Pirates-AshcraftSplit 22
W#1 DoublesBala Pedapalli / Stephane Perreault vs David Ashcraft / John Ferry7-6, 6-2
L#1 SinglesRamon Calpe vs Jeff Feinstein3-6, 3-6
W#2 DoublesBong SantoDomingo / Edwin Carlos Sr vs Christopher McReynolds / Mark de Vere White6-2, 6-3
L#3 DoublesMichael Donnelly / U Yi vs Josh Stellick / Patrick Brem2-6, 7-5, 0-1
2022-02-19vs ETC-BursiekWon 31
W#1 DoublesStephane Perreault / Timothy Greenzweig vs Sam Heyworth / Tyler Tonkin6-3, 5-7, 1-0
W#1 SinglesAnthony Ramos vs Mike Bursiek6-2, 6-4
L#2 DoublesKris Petersen / William Brown vs Ryan Bussard / Michael Rodden3-6, 3-6
W#3 DoublesBong SantoDomingo / Miguel Beltran vs Len Kannapell / Philip Rezek3-6, 6-2, 1-0
2022-02-12vs MI-LiWon 31
W#1 DoublesAnthony Ramos / Michael Donnelly vs Francois Locoh-Donou / Jeff O'Mara6-2, 7-6
W#1 SinglesRamon Calpe vs Christopher Dickinson3-6, 6-3, 1-0
W#2 DoublesSyam Pinnaka / Miguel Beltran vs Todd Seneker / Chenyang Li6-2, 7-5
L#3 DoublesBong SantoDomingo / Edwin Carlos Sr vs Sanjiv Parikh / Atanas Ivanov0-6
2022-02-06vs NTC-String Theory-BurnsSplit 22
L#1 DoublesMiguel Beltran / Timothy Greenzweig vs Rowland Morgan / Todd Dunnington2-6, 6-2, 0-1
W#1 SinglesRamon Calpe vs Mike Mullen6-3, 7-6
L#2 DoublesStephane Perreault / Bala Pedapalli vs Eric Cobb / Kurt Zumdieck6-4, 5-7, 0-1
W#3 DoublesAnthony Ramos / Michael Donnelly vs Kenneth Burns / Colin Williams6-2, 6-2
2022-01-29vs CP-Gamma Squeeze-ViriththamullaSplit 22
W#1 DoublesAnthony Ramos / Michael Donnelly vs Joseph Allison / Justin VonGortler6-3, 6-3
W#1 SinglesRamon Calpe vs Xin Che6-4, 6-2
L#2 DoublesNick Martin / U Yi vs Robert Liu / Stanley Ching1-6, 1-6
L#3 DoublesBong SantoDomingo / Edwin Carlos Sr vs Gamage Viriththamulla / Thomas Werner6-3, 3-6, 0-1
2022-01-23vs WSC-Team Lash 3.5MLost 13
W#1 DoublesMichael Donnelly / Anthony Ramos vs Ziran Lin / Calvin Vu6-3, 7-6
L#1 SinglesSyam Pinnaka vs Matt Gerrans4-6, 6-7
L#2 DoublesBala Pedapalli / Stephane Perreault vs Rajesh Singh / Jeetu Thakur6-3, 2-6, 0-1
L#3 DoublesKris Petersen / William Brown vs Randy Chin / Jim Sternberg0-6, 3-6
2022-01-15vs MC-Red Hawks-VashistLost 04
L#1 DoublesAnthony Ramos / Michael Donnelly vs Jeffrey Ng / Jeffrey Steele1-6, 6-2, 0-1
L#1 SinglesSyam Pinnaka vs Russel Hercules3-6, 3-6
L#2 DoublesEdwin Carlos Sr / Bong SantoDomingo vs Greg Harriman / Eisuke Nishi3-6, 3-6
L#3 DoublesRamon Calpe / Nick Martin vs Noel Balantac / Kevin Chung7-5, 3-6, 0-1
2022-01-08vs HBSQ-PolettiLost 04
L#1 DoublesAnthony Ramos / Syam Pinnaka vs Michael Lynagh / George Sampson7-6, 6-7, 0-1
L#1 SinglesRamon Calpe vs Jack Crose5-7, 2-6
L#2 DoublesStephane Perreault / Timothy Greenzweig vs Kenny Kramer / Scott Chapman2-6, 3-6
L#3 DoublesEdwin Carlos Sr / Michael Donnelly vs Joseph Gregory / Bruce Adee4-6, 7-6, 1-0
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 standings35 teams · 3.5 Men
TeamWLInd. WInd. LSets lostGames lost
1RBW-Coe81261024283
2TCSP-Kotha81251128263
3CAC/SL-Wanat 3.5M7126617216
4MC-Red Hawks-Vashist7124821237
5MI-Wannabe's-Mattox7125725250
6AYTC-High Lobbers-Stoneberg72251126294
7TCSP-Sandbaggers-Kelley72231330269
8CP-Graves72251133299
9PL-Toki Highballers-Escalona6224823218
10WSC-Team Lash 3.5M62221030271
11BC-3.5 Camara 40+63261026285
12MI-Chen/Pae63261028265
13HBSQ-Poletti53211127270
14FC-General Mon Calpe53131941317
15STC-Skrobut54181840322
16STC-Pirates-Ashcraft44201226259
17ETC-Bursiek44131941289
18PL-Douglas45211535338
19EDG-Dickson45221438331
20PSC-Avengers-Kancherla45181839339
21CAC/SL-Recoil Reboot-Hanson45152148362
22CP-Wescott45152148351
23EDG-Bobcats 3.5 40+ Keller45152150357
24RBW-Avengers40-Ravi35161636308
25WSC-Iyer 3.5M35151738284
26PSC-Dacia-Frintu35102247328
27BETC-Wu 3.5M36132348353
28MC-Mens 3.5 Bluesmen-Ngo36122451365
29RTC-Roger that-Aggarwal26112146316
30CP-Gamma Squeeze-Viriththamulla26112146323
31NTC-String Theory-Burns2692348345
32ETC-TopSpinners-Ajoy 3.5M27112555371
33MI-Li17112145331
34BC-Sekins/Manning 40-3.50823060367
35WSC-2022-40+ Tennis is fun-Karmali0933368420

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 3.06 estimated across 5 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.

3.31
Miguel Beltran
usually #1 Doubles 33%, also #2 Doubles 33% · published 3.5
3.26
Edwin Carlos Sr
usually #3 Doubles 60%, also #2 Doubles 40% · published 3.5
Anthony Ramos
usually #1 Doubles 71%, also #3 Doubles 14% · published 3.5
Bala Pedapalli
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
Michael Donnelly
usually #1 Doubles 57%, also #3 Doubles 43% · published 3.5
Syam Pinnaka
usually #1 Singles 50%, also #1 Doubles 25% · published 3.5
3.00
Bong SantoDomingo
usually #3 Doubles 60%, also #2 Doubles 40% · published 3.5
2.89
Ramon Calpe
usually #1 Singles 83%, also #3 Doubles 17% · published 3
2.81
U Yi
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
Kris Petersen
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
Stephane Perreault
usually #2 Doubles 60%, also #1 Doubles 40% · published 3
Timothy Greenzweig
usually #1 Doubles 67%, also #2 Doubles 33% · published 3
William Brown
usually #3 Doubles 50%, also #2 Doubles 50% · 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.

Stephane Perreault + Syam Pinnaka5752% games+4.1% vs expected
Syam Pinnaka + Miguel Beltran2344% games+1.4% vs expected
Michael Donnelly + Anthony Ramos5256% games−1.3% vs expected
Bala Pedapalli + Stephane Perreault6745% games−1.7% vs expected
Edwin Carlos Sr + Bong SantoDomingo131751% games−2.5% vs expected
Timothy Greenzweig + Ramon Calpe1439% gamesnot enough data
Kris Petersen + William Brown3251% gamesnot enough data
Miguel Beltran + U Yi213 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
Miguel Beltran
124W–89L career · 3 lines in 2022
1%92%7%
3.31
3.5
Edwin Carlos Sr
42W–32L career · 5 lines in 2022
2%94%3%
3.26
3.5
Anthony Ramos
29W–39L career · 7 lines in 2022
not enough data
3.5
Bala Pedapalli
28W–30L career · 3 lines in 2022
not enough data
3.5
Michael Donnelly
25W–33L career · 7 lines in 2022
not enough data
3.5
Syam Pinnaka
57W–42L career · 4 lines in 2022
not enough data
3.5
Bong SantoDomingo
17W–45L career · 5 lines in 2022
51%49%<1%
3.00
3
Ramon Calpe
75W–109L career · 6 lines in 2022
<1%79%21%
2.89
3
U Yi
26W–48L career · 2 lines in 2022
1%92%8%
2.81
3
Kris Petersen
27W–44L career · 2 lines in 2022
not enough data
3
Stephane Perreault
93W–67L career · 5 lines in 2022
not enough data
3
Timothy Greenzweig
16W–57L career · 3 lines in 2022
not enough data
William Brown
13W–26L career · 2 lines in 2022
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.