Teams

CCRC Hamilton

2026 CSRATA USTA MXD 40 & Over - Summer '26 · Mixed 3.5

12 players · average NTRP 3.50 / GEORGIA

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 →
Schedule8 played
2026-08-11vs Odell DegnanSplit 11
L#1 DoublesFain Dye / Tracy Conlon vs Douglas Stahura / Stacey Percell3-6, 4-6
W#2 DoublesQingdan Wu / Jonathan Harwood vs Alyssa Degnan / Wayne Frei7-5, 6-4
2026-07-28vs CCRC CassellLost 02
L#1 DoublesFain Dye / Nadine Brendza vs Jeff Johnston / Dara Dixon1-6, 2-6
L#2 DoublesMichelle Lyons / Jonathan Harwood vs Tony Kramer / Jan Johnson3-6, 1-6
2026-07-01vs CCRC CassellLost 03
L#1 DoublesFain Dye / Tracy Conlon vs Denise Vaughn / Jeff Johnston6-1, 3-6, 0-1
L#2 DoublesAmy Forsha / Vishal Arora vs Christine Lewis / Tom Battey4-6, 0-6
L#3 DoublesQingdan Wu / Jonathan Harwood vs Jan Johnson / Tony Kramer4-6, 3-6
2026-06-24vs Odell DegnanSplit 11
W#1 DoublesFain Dye / Tracy Conlon vs Douglas Stahura / Nichol Gregory7-5, 6-4
L#2 DoublesRoss Lyons / Michelle Lyons vs Wayne Frei / Alyssa Degnan3-6, 2-6
2026-06-10vs CCRC CassellLost 03
L#1 DoublesNadine Brendza / Fain Dye vs Denise Vaughn / David Hartmann1-6, 5-7
L#2 DoublesMichelle Lyons / Bill Rogier vs Tom Battey / Zuzana Berrong2-6, 6-4, 0-1
L#3 DoublesQingdan Wu / Jonathan Harwood vs John Whitwell / Christine Lewis3-6, 4-6
2026-06-03vs Odell DegnanLost 12
W#1 DoublesEddie Miranda / Nadine Brendza vs Dana Davis / John Davis6-3, 6-3
L#2 DoublesSterling Hamilton / Angelique Alvarado vs Alyssa Degnan / Wayne Frei4-6, 1-6
L#3 DoublesJonathan Harwood / Qingdan Wu vs Angela Magnuson / Gregory Reese2-6, 3-6
2026-05-13vs CCRC CassellLost 03
L#1 DoublesSterling Hamilton / Angelique Alvarado vs Denise Vaughn / John Whitwell2-6, 2-6
L#2 DoublesVishal Arora / Amy Forsha vs Laura Adamski / Craig Adamski4-6, 6-7
L#3 DoublesTracy Conlon / Bill Rogier vs Christine Lewis / Jeff Johnston3-6, 4-6
2026-05-06vs Odell DegnanWon 21
W#1 DoublesFain Dye / Nadine Brendza vs Nichol Gregory / Chad Matthews7-6, 4-6, 1-0
L#2 DoublesMichelle Lyons / Ross Lyons vs John Davis / Dana Davis4-6, 3-6
W#3 DoublesBill Rogier / Qingdan Wu vs Alyssa Degnan / Thomas Kuntz3-6, 6-3, 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 standings3 teams · Mixed 3.5
TeamWLInd. WInd. LSets lostGames lost
1CCRC Cassell7119515189
2Odell Degnan35101429224
3CCRC Hamilton2671736246

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 3.21 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.

3.46
Sterling Hamilton
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.43
Eddie Miranda
usually #1 Doubles 100% · published
3.33
Nadine Brendza
usually #1 Doubles 100% · published
3.29
Tracy Conlon
usually #1 Doubles 75%, also #3 Doubles 25% · published
3.26
Jonathan Harwood
usually #3 Doubles 60%, also #2 Doubles 40% · published
3.25
Bill Rogier
usually #3 Doubles 67%, also #2 Doubles 33% · published 3.5
Angelique Alvarado
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.22
Fain Dye
usually #1 Doubles 100% · published
3.14
Amy Forsha
usually #2 Doubles 100% · published 3.5
3.08
Vishal Arora
usually #2 Doubles 100% · published
2.92
Qingdan Wu
usually #3 Doubles 80%, also #2 Doubles 20% · published
2.90
Ross Lyons
usually #2 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.

Fain Dye + Nadine Brendza2339% gamesnot enough data
Qingdan Wu + Jonathan Harwood134 matchesnot enough data
Sterling Hamilton + Angelique Alvarado224 matchesnot enough data
Tracy Conlon + Fain Dye123 matchesnot enough data
Tracy Conlon + Bill Rogier033 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.

Sterling Hamilton
24W–11L career · 2 lines in 2026
<1%60%40%
3.46
Eddie Miranda
36W–28L career · 1 line in 2026
<1%70%30%
3.43
Nadine Brendza
24W–37L career · 4 lines in 2026
1%88%11%
3.33
Tracy Conlon
31W–36L career · 4 lines in 2026
2%91%7%
3.29
Jonathan Harwood
2W–14L career · 5 lines in 2026
3%93%4%
3.26
3.5
Bill Rogier
21W–12L career · 3 lines in 2026
4%93%4%
3.25
3.5
Angelique Alvarado
3W–4L career · 2 lines in 2026
not enough data
Fain Dye
25W–21L career · 6 lines in 2026
6%92%2%
3.22
3.5
Amy Forsha
20W–32L career · 2 lines in 2026
15%84%1%
3.14
Vishal Arora
2W–11L career · 2 lines in 2026
29%71%<1%
3.08
Qingdan Wu
17W–15L career · 5 lines in 2026
<1%71%29%
2.92
Ross Lyons
17W–30L career · 2 lines in 2026
<1%75%25%
2.90

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.