Teams

LCTA18/Fox-Fennel/LTP-DI

LCTA 18 & Over Fall League · 18 & over Fall League Men 3.5

14 players · average NTRP 3.44 / SOUTH CAROLINA

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 standings17 teams · 18 & over Fall League Men 3.5
TeamWLInd. WInd. LSets lostGames lost
1LCTA18/Fox-Fennel/LTP-DI000000
2LCTA18/Cooke-Harrison/MPR000000
3LCTA18/Patel/Creekside000000
4LCTA18/Barwick/St. Andrews000000
5LCTA18/Edwards/CTC000000
6LCTA18/Harrison-Clinch/CTC000000
7LCTA18/O'Leary/I'On000000
8LCTA18/BECK/CTC000000
9LCTA18/Hughes-Carpenter/ParkWest000000
10LCTA18/Loehr/CCC000000
11LCTA18/Rogers/DannyJones000000
12LCTA18/Cooke-McCurry/Wild Dunes000000
13LCTA18/Kroner-Gilllig/LTP-DI000000
14LCTA18/O’Rourke-Lim/Maybank000000
15LCTA18/Wulbern/CTC000000
16LCTA18/Fultz-Edge/Maybank000000
17LCTA18/Munoz/Snee Farm000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.34 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.

3.58
Nanda Ragala
published
3.55
MacIej Dziurgot
published
3.54
Patrick Wilkinson
published
3.48
Christopher Greeno
published 3.5
3.47
Ali Mazaheri
published 3.5
3.40
Bill Park
published 3.5
3.39
Brian Whirrett
published 3.5
3.33
Anthony Dedoes
published 3.5
3.31
Hong Pi
published 3.5
3.22
FABIO VENTURINI
published 3.5
3.21
Stephen Mueller
published
3.17
Steve Fennell
published
2.78
Rusty Fox
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.

FABIO VENTURINI + Steve Fennell6161% games+10.2% vs expected
MacIej Dziurgot + Steve Fennell15164% games+7.2% vs expected
MacIej Dziurgot + Brian Whirrett27764% games+6.7% vs expected
MacIej Dziurgot + FABIO VENTURINI8265% games+3.0% vs expected
Stephen Mueller + Steve Fennell7556% games+1.4% vs expected
Anthony Dedoes + Steve Fennell7155% games+0.6% vs expected
Stephen Mueller + MacIej Dziurgot4163% gamesnot enough data
Christopher Greeno + Brian Whirrett3255% 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.

Nanda Ragala
16W–17L career · no lines in 2026
<1%26%74%
3.58
MacIej Dziurgot
118W–29L career · no lines in 2026
<1%35%65%
3.55
Patrick Wilkinson
21W–14L career · no lines in 2026
<1%37%63%
3.54
3.5
Christopher Greeno
97W–42L career · no lines in 2026
<1%56%44%
3.48
3.5
Ali Mazaheri
12W–5L career · type S · no lines in 2026
<1%58%42%
3.47
3.5
Bill Park
83W–50L career · no lines in 2026
<1%78%21%
3.40
3.5
Brian Whirrett
53W–26L career · no lines in 2026
<1%80%20%
3.39
3.5
Anthony Dedoes
41W–26L career · no lines in 2026
1%90%10%
3.33
3.5
Hong Pi
38W–80L career · no lines in 2026
1%92%7%
3.31
3.5
FABIO VENTURINI
65W–35L career · no lines in 2026
4%94%2%
3.22
Stephen Mueller
59W–41L career · no lines in 2026
5%94%1%
3.21
Steve Fennell
96W–53L career · no lines in 2026
10%90%1%
3.17
3
JORGE HENDRICKSON
9W–22L career · no lines in 2026
2%94%4%
2.78
Rusty Fox
4W–4L career · no lines in 2026
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.