Teams

The Nelson/Harner-Vittitow M4.0

2025 DALLAS TENNIS 18 & Over ADULT S · S M. League

11 players · average NTRP 4.00 / TEXAS

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 →
Schedule2 played
2025-06-07vs McKinney/Skinner M4.0Lost 12
W#1 DoublesMatt Vittitow / Stephen Prochnow vs Don Pierce / Tom Miller6-4, 5-7, 1-0
L#2 DoublesJames Vu / Ken Yue vs Jason McCaslin / Aaron Rucker5-7, 7-5, 0-1
L#3 DoublesStephen James / Vijay Lilaram vs Ivan Goridkov / Gino Diazoni6-4, 4-6, 0-1
2025-05-10vs DCC/Friedman M4.0Split 22
W#1 DoublesStephen Prochnow / Kevin Conlon vs John Arnold / Chase Conway6-1, 6-4
L#1 SinglesVijay Lilaram vs William James6-4, 1-6, 0-1
W#2 DoublesJames Vu / Trung Tran vs Rexford Alexander / William Bowman6-3, 7-5
L#2 SinglesMark Bruno vs Bayard Friedman6-2, 5-7, 0-1
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 S M. League 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 3.68 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.

3.90
3.80
Mark Bruno
usually #2 Singles 100% · published
3.79
Kyle Rainwater
published
3.75
Matt Vittitow
usually #1 Doubles 100% · published
3.75
Kevin Conlon
usually #1 Doubles 100% · published
3.73
Bob Miller
published 4
3.70
Stephen Prochnow
usually #1 Doubles 100% · published
3.64
James Vu
usually #2 Doubles 100% · published
3.45
Vijay Lilaram
usually #3 Doubles 50%, also #1 Singles 50% · published
3.34
Ken Yue
usually #2 Doubles 100% · published
Lance Wicker
usually #1 Singles 60%, also #1 Doubles 20% · 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.

Christopher Harner + Stephen Prochnow5360% games−3.6% vs expected
Matt Vittitow + Christopher Harner134 matchesnot enough data
Matt Vittitow + Kevin Conlon213 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.

4
Christopher Harner
13W–8L career · no lines in 2025
<1%75%25%
3.90
Mark Bruno
6W–5L career · 1 line in 2025
2%91%8%
3.80
Kyle Rainwater
4W–7L career · no lines in 2025
2%92%6%
3.79
Matt Vittitow
12W–9L career · 1 line in 2025
4%93%4%
3.75
Kevin Conlon
5W–3L career · 1 line in 2025
4%93%4%
3.75
4
Bob Miller
3W–10L career · no lines in 2025
5%92%3%
3.73
Stephen Prochnow
15W–7L career · 2 lines in 2025
8%91%2%
3.70
James Vu
4W–9L career · 2 lines in 2025
16%84%1%
3.64
Vijay Lilaram
2W–8L career · 2 lines in 2025
63%37%<1%
3.45
Ken Yue
5W–13L career · 1 line in 2025
1%87%13%
3.34
Lance Wicker
7W–7L career · 5 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.