Teams

F 3.5S/7.0D PM Kozik

2023 NEOTA Fusion · NEOTA 3.5S

17 players · average NTRP 3.50 / NORTHEASTERN OHIO

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 →

Flight standings for NEOTA 3.5S 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 3.13 estimated across 13 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.

Guy Ruwe
published 4
3.58
3.29
Taylor Leohr
published
3.29
Jerry Kozik
published
Claudia Miles
published 3.5
3.22
Andy Brouse
published 3.5
3.21
Kelly Fatula
published
3.20
Marcela Nicolae
published
3.08
Craig Welsh
published 3.5
3.05
Paul Boland
published
3.05
John Wirtz
published
3.03
LIsa Haynes
published
2.96
Debora Guillermo
published 3.5
2.88
Gaby Cases
published 3
2.84
Bonita Teeuwen
published 3.5
Julius Amourgis
published
William Miles
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.

Taylor Leohr + Claudia Miles12756% games+4.8% vs expected
Claudia Miles + Marcela Nicolae4251% games+1.9% vs expected
LIsa Haynes + Taylor Leohr141354% games−3.3% vs expected
John Wirtz + Paul Boland224 matchesnot enough data
Debora Guillermo + Bonita Teeuwen224 matchesnot enough data
Taylor Leohr + Bonita Teeuwen314 matchesnot enough data
Jerry Kozik + Paul Boland134 matchesnot enough data
Craig Welsh + William Miles213 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
Guy Ruwe
34W–49L career · type S · no lines in 2023
not enough data
Venkat Rama Varanasi
53W–32L career · no lines in 2023
28%72%<1%
3.58
Taylor Leohr
50W–38L career · no lines in 2023
1%93%6%
3.29
Jerry Kozik
71W–45L career · no lines in 2023
1%93%5%
3.29
3.5
Claudia Miles
80W–48L career · no lines in 2023
not enough data
3.5
Andy Brouse
30W–22L career · no lines in 2023
4%94%2%
3.22
Kelly Fatula
63W–75L career · no lines in 2023
5%93%1%
3.21
Marcela Nicolae
138W–52L career · no lines in 2023
6%93%1%
3.20
3.5
Craig Welsh
26W–36L career · no lines in 2023
26%74%<1%
3.08
Paul Boland
40W–41L career · no lines in 2023
<1%34%66%
3.05
John Wirtz
24W–62L career · no lines in 2023
36%64%<1%
3.05
LIsa Haynes
28W–25L career · no lines in 2023
40%60%<1%
3.03
3.5
Debora Guillermo
41W–27L career · no lines in 2023
61%39%<1%
2.96
3
Gaby Cases
69W–73L career · no lines in 2023
<1%82%18%
2.88
3.5
Bonita Teeuwen
130W–96L career · no lines in 2023
89%11%<1%
2.84
Julius Amourgis
9W–25L career · no lines in 2023
not enough data
William Miles
9W–9L career · no lines in 2023
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.