Teams

MWaleski/SWoodall (OPRC)

2022 Combo Doubles 18 & Over League · 18 & Over Combo 9.5 Men - Wed PM

12 players · average NTRP 4.60 / NORTH CAROLINA

View scouting list →
Schedule5 played
2022-09-21vs ABrandt/JMcKiernan (Park Road)Won 20
W#2 DoublesRod Spence / Niclas Nilsson vs Jared McKiernan / Alexander Brandt6-4, 4-6, 1-0
W#3 DoublesJustin Beverley / Rodrigo Pacheco vs Jared Dukes / Pete Eakin7-6, 6-4
2022-09-14vs ASchulz (Queens)Lost 01
L#2 DoublesRod Spence / Rob Haywood vs Greg May / Felipe Bautista4-6, 1-6
2022-09-07vs MGonzalez (Queens)Won 10
W#1 DoublesRod Spence / Rob Haywood vs Thomas Jeter / Diego MacHuca6-4, 1-6, 1-0
2022-08-24vs THarris (Queens)Lost 01
L#1 DoublesJustin Beverley / Niclas Nilsson vs Anthony Yang / Will Goldberg3-6, 2-6
2022-08-10vs AKing (Queens)Lost 01
L#3 DoublesRod Spence / Claes Persson vs Depei Yu / George Lovitt0-6, 1-6
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 18 & Over Combo 9.5 Men - Wed PM 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 4.40 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.

4.76
Niclas Nilsson
published
4.66
Rob Haywood
published
4.63
Claes Persson
published 5
4.50
Eric Tan
published 4.5
4.37
John Deering
published
4.32
Justin Beverley
usually #1 Doubles 50%, also #3 Doubles 50% · published 4.5
4.32
Rod Spence
usually #2 Doubles 50%, also #3 Doubles 25% · published 4.5
4.29
Richard Merino
published
4.15
Carl Cooke
published 4.5
3.98
Michael Waleski
published
Rodrigo Pacheco
published
Stephen Woodall
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.

John Deering + Justin Beverley303 matchesnot enough data
Justin Beverley + Michael Waleski213 matchesnot enough data
Eric Tan + Rod Spence213 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.

Niclas Nilsson
7W–5L career · no lines in 2022
2%94%3%
4.76
Rob Haywood
12W–12L career · no lines in 2022
12%88%<1%
4.66
5
Claes Persson
10W–5L career · no lines in 2022
15%85%<1%
4.63
4.5
Eric Tan
31W–15L career · no lines in 2022
<1%49%51%
4.50
John Deering
11W–4L career · no lines in 2022
<1%84%16%
4.37
4.5
Justin Beverley
86W–40L career · 2 lines in 2022
1%91%9%
4.32
4.5
Rod Spence
103W–35L career · type A · 4 lines in 2022
1%91%8%
4.32
Richard Merino
13W–6L career · no lines in 2022
1%94%5%
4.29
4.5
Carl Cooke
7W–4L career · no lines in 2022
12%88%<1%
4.15
Michael Waleski
6W–5L career · no lines in 2022
56%44%<1%
3.98
Rodrigo Pacheco
5W–2L career · no lines in 2022
not enough data
Stephen Woodall
2W–1L career · no 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.