Teams

O'Neill - PCC

2025 Escambia Mixed 40 & Over · 7.0 Mixed 40 & Over

12 players · average NTRP 3.62 / REGION_1

View scouting list →
Schedule5 played
2025-02-26vs Covington - PCCWon 30
W#1 DoublesMatthew O'Neill / Amanda Brown vs KL LeCOQ / Marie Steen6-3, 6-2
W#2 DoublesMichael Yager / April Schweigert vs Kathy Ross / James Holmes6-1, 6-1
W#3 DoublesNatalie Mcelhany / Doug Gonterman vs Eric Rasmussen / Ashley Rasmussen6-1, 6-1
2025-02-19vs Punch - RS ClayWon 10
W#3 DoublesCherie Tan / Brett Snyder vs Mary Bryan / Scott Aspinwall6-1, 6-1
2025-02-06vs Haigler - RS ClayWon 10
W#1 DoublesCherie Tan / Brett Snyder vs Ed Souza / Sharon Powell6-4, 3-6, 1-0
2025-01-29vs Tran - RS ClayWon 10
W#1 DoublesCherie Tan / Doug Gonterman vs Clay Anderson / Kristyn Miller2-6, 6-4, 1-0
2025-01-15vs Wallace - RS ClayLost 02
L#1 DoublesCherie Tan / Doug Gonterman vs Mecy Wimberly / John Wimberly5-7, 6-7
L#3 DoublesDodi Stringfellow / Will Grace vs Jacqueline Wallace / Kenneth Wallace1-6, 6-7
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 7.0 Mixed 40 & Over 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 3.39 estimated across 10 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.

3.69
Michael Yager
usually #2 Doubles 100% · published
3.53
Natalie Mcelhany
usually #3 Doubles 100% · published
3.52
Amanda Brown
usually #1 Doubles 100% · published 4
3.46
Matthew O'Neill
usually #1 Doubles 100% · published
3.46
Jena Wise
published
3.41
Cherie Tan
usually #1 Doubles 75%, also #3 Doubles 25% · published 3.5
3.36
Doug Gonterman
usually #3 Doubles 100% · published
3.33
Valerie Wilson
published
April Schweigert
usually #2 Doubles 100% · published 3.5
3.22
Dodi Stringfellow
usually #3 Doubles 100% · published 3.5
2.90
Stacy Wilks
published
Will Grace
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.

Natalie Mcelhany + Matthew O'Neill9166% games+17.9% vs expected
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.

Michael Yager
14W–15L career · 1 line in 2025
9%90%1%
3.69
Natalie Mcelhany
28W–4L career · 1 line in 2025
<1%<1%>99%
3.53
4
Amanda Brown
4W–5L career · 1 line in 2025
44%56%<1%
3.52
Matthew O'Neill
38W–21L career · 1 line in 2025
<1%60%40%
3.46
Jena Wise
38W–96L career · no lines in 2025
62%38%<1%
3.46
3.5
Cherie Tan
146W–59L career · 4 lines in 2025
<1%74%26%
3.41
Doug Gonterman
10W–15L career · 1 line in 2025
1%84%15%
3.36
Valerie Wilson
10W–3L career · no lines in 2025
1%88%12%
3.33
3.5
April Schweigert
8W–5L career · 1 line in 2025
not enough data
3.5
Dodi Stringfellow
120W–64L career · 1 line in 2025
6%92%2%
3.22
Stacy Wilks
17W–12L career · no lines in 2025
<1%76%24%
2.90
Will Grace
2W–5L career · no lines in 2025
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.