Teams

QRRC-Wenz

2022 OH OV FALL A18&O · Fall 4.0 Men Dayton

11 players · average NTRP 3.62 / OHIO VALLEY

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 →
Schedule1 played
2021-10-16vs KTC-HeinzLost 01
L#1 DoublesPartha Banerjee / Carey Caldwell vs Michael Budde / Dan Zahorian1-6, 5-7
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 Fall 4.0 Men Dayton 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 2.95 estimated across 5 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.

Carey Caldwell
usually #2 Doubles 33%, also #1 Singles 33% · published 4
ASHESH AGRAWAL
usually #2 Doubles 50%, also #1 Doubles 33% · published 3.5
3.19
George Thielen
usually #2 Doubles 50%, also #1 Doubles 25% · published 3.5
3.04
Corey Lam
published 3.5
3.01
Scott Arentsen
usually #2 Doubles 50%, also #1 Doubles 33% · published
2.81
Richard Guinto
usually #1 Doubles 50%, also #3 Doubles 25% · published
2.70
Partha Banerjee
usually #3 Doubles 50%, also #2 Singles 25% · published
Danis Black
published
Nicholas Schindler
usually #1 Singles 83%, also #3 Doubles 17% · published
Tom Wenz
usually #2 Doubles 86%, also #3 Doubles 14% · published
Tyler Urse
usually #1 Doubles 67%, also #3 Doubles 33% · 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.

Tom Wenz + George Thielen3836% games−0.3% vs expected
Tom Wenz + Richard Guinto0729% games−6.6% vs expected
Partha Banerjee + Scott Arentsen11530% games−9.5% vs expected
Tom Wenz + Scott Arentsen11034% games−11.9% vs expected
Tom Wenz + Partha Banerjee0723% games−16.6% vs expected
George Thielen + Tyler Urse4158% gamesnot enough data
Partha Banerjee + Corey Lam0526% gamesnot enough data
Tyler Urse + Scott Arentsen3255% gamesnot 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
Carey Caldwell
11W–7L career · 3 lines in 2022
not enough data
3.5
ASHESH AGRAWAL
9W–18L career · 6 lines in 2022
not enough data
3.5
George Thielen
35W–61L career · 4 lines in 2022
7%92%1%
3.19
3.5
Corey Lam
19W–36L career · type S · no lines in 2022
38%62%<1%
3.04
Scott Arentsen
23W–87L career · 6 lines in 2022
46%54%<1%
3.01
Richard Guinto
31W–78L career · 4 lines in 2022
1%92%8%
2.81
Partha Banerjee
12W–68L career · 4 lines in 2022
7%92%1%
2.70
Danis Black
0W–2L career · no lines in 2022
not enough data
Nicholas Schindler
39W–43L career · 6 lines in 2022
not enough data
Tom Wenz
19W–78L career · 7 lines in 2022
not enough data
Tyler Urse
30W–48L career · 3 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.