Teams

CHIP-Schorer 40&O 60 Mix F

2026 aSEM MIX WINTER 40 & OVER · 2026 60 MIXED 40 & OVER SEM F

15 players · average NTRP 2.94 / S.E. MICHIGAN

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 →
Schedule7 played
2026-04-19vs LIB-Kustarz 40&O 60 Mix FSplit 11
L#2 DoublesJoshua Matz / Fernanda Santos vs Seth Pettie / Xuerong Mu4-6, 3-6
W#3 DoublesDavid Redman / Jing Bai vs Jun Wei / Sarah Min6-4, 6-1
2026-03-29vs CHIP-McKenzie 40&O 60 Mix FLost 01
L#3 DoublesJing Bai / Randy Dickerman vs Barbara Mintz / Poowanat Tasma6-2, 2-6, 0-1
2026-03-22vs LIB-Dawson 40&O 60 Mix FSplit 11
W#2 DoublesRandy Dickerman / Julia Garcia-fuster vs Barry St Pierre / Christie Barrett5-7, 6-1, 1-0
L#3 DoublesYue Guo / Robert Larimore vs John Reynolds / Suzanne Xuereb1-6, 6-4, 0-1
2026-03-14vs HV-Moore 40s 60 Mix F2Won 10
W#2 DoublesDavid Redman / Jing Bai vs Margot Lagowski / Krystian Lagowski6-2, 6-4
2026-02-14vs LIB-Dawson 40&O 60 Mix FWon 20
W#2 DoublesJoshua Matz / Julia Garcia-fuster vs John Reynolds / Christie Barrett6-4, 6-4
W#3 DoublesYue Guo / Randy Dickerman vs Jon Muscat / Suzanne Xuereb6-3, 6-4
2026-02-07vs HV-Moore 40s 60 Mix F2Lost 02
L#2 DoublesYue Guo / Robert Larimore vs Amy Conway / Cason Conway5-7, 0-6
L#3 DoublesKristine Rushing / Orthell Adams vs Ruth Dunkle / Wesley Dunnick6-4, 3-6, 0-1
2026-01-31vs LIB-Kustarz 40&O 60 Mix FSplit 11
L#2 DoublesEva Flesher / Joshua Matz vs John-Paul Wolfe / Laura Wolfe2-6, 4-6
W#3 DoublesMargaret Pieroni / Randy Dickerman vs Jeff Hill / Elizabeth Gonzalez6-4, 3-6, 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 standings13 teams · 2026 60 MIXED 40 & OVER SEM F
TeamWLInd. WInd. LSets lostGames lost
1TROY-Vondell 40s 60 Mix F311130617238
2EAST-Bonventre 40&O 60 Mix102231333332
3PEACH-Hoch 40&O 60 Mix F93261022267
4WESS-BROWN 40s 60 Mix F393251124238
5LIB-Dawson 40&O 60 Mix F7118617202
6CHIP-Schorer 40&O 60 Mix F53131127222
7HV-Moore 40s 60 Mix F244101433254
8BEV-Moore 40&O 60 Mix F48162040297
9LT-Anderson 40&O 60 Mix F39112557399
10LIB-Kustarz 40&O 60 Mix F26121227221
11CHIP-McKenzie 40&O 60 Mix F2671737249
12PH-Neaton 40&O Mix F210122451367
13FAC-Stoneback 40&O 60 Mix F01213571430

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 2.69 estimated across 14 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.

3.13
Julia Garcia-fuster
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
3.05
Todd Schorer
usually #1 Doubles 100% · published 3
2.89
Sheila Schorer
usually #1 Doubles 100% · published 3
2.78
Joshua Matz
usually #2 Doubles 100% · published
2.71
Yue Guo
usually #3 Doubles 67%, also #2 Doubles 33% · published
2.69
Eva Flesher
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.68
Fernanda Santos
usually #3 Doubles 50%, also #2 Doubles 50% · published 3
2.65
Margaret Pieroni
usually #3 Doubles 50%, also #1 Doubles 50% · published 3
2.61
Gianna Gomez-Levi
usually #1 Doubles 100% · published 3
2.61
Randy Dickerman
usually #3 Doubles 75%, also #2 Doubles 25% · published
2.59
Orthell Adams
usually #3 Doubles 67%, also #2 Doubles 33% · published
2.46
Jing Bai
usually #3 Doubles 67%, also #2 Doubles 33% · published
2.44
Robert Larimore
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
2.36
Lani Bausewein
usually #1 Doubles 50%, also #2 Doubles 50% · published 2.5
Kristine Rushing
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.

Sheila Schorer + Todd Schorer14557% games+3.6% vs expected
Robert Larimore + Yue Guo1442% gamesnot enough data
Robert Larimore + Eva Flesher123 matchesnot enough data
Randy Dickerman + Fernanda Santos123 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
Julia Garcia-fuster
41W–7L career · type S · 3 lines in 2026
<1%17%83%
3.13
3
Todd Schorer
30W–18L career · 4 lines in 2026
<1%37%63%
3.05
3
Sheila Schorer
37W–29L career · 3 lines in 2026
<1%79%21%
2.89
Joshua Matz
14W–44L career · 3 lines in 2026
2%92%6%
2.78
Yue Guo
68W–101L career · 3 lines in 2026
6%92%2%
2.71
3
Eva Flesher
14W–43L career · 2 lines in 2026
9%90%1%
2.69
3
Fernanda Santos
27W–45L career · 2 lines in 2026
10%89%1%
2.68
3
Margaret Pieroni
22W–34L career · 2 lines in 2026
15%85%1%
2.65
3
Gianna Gomez-Levi
43W–29L career · 2 lines in 2026
21%79%<1%
2.61
Randy Dickerman
53W–68L career · 4 lines in 2026
22%77%<1%
2.61
Orthell Adams
8W–43L career · 3 lines in 2026
26%74%<1%
2.59
Jing Bai
33W–35L career · 3 lines in 2026
0%60%40%
2.46
3
Robert Larimore
15W–32L career · 2 lines in 2026
66%34%<1%
2.44
2.5
Lani Bausewein
40W–51L career · 2 lines in 2026
0%85%15%
2.36
Kristine Rushing
3W–3L career · 1 line in 2026
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.