Teams

CX 6.5 MV Wu

2026 NEOTA Combo Mixed · NEOTA 6.5 Combo Mixed

15 players · average NTRP 3.00 / 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 standings13 teams · NEOTA 6.5 Combo Mixed
TeamWLInd. WInd. LSets lostGames lost
1CX 6.5 TP Derrig000000
2CX 6.5 TRR Dworakowski000000
3CX 6.5 CV Johannes000000
4CX 6.5 MV Herbruck000000
5CX 6.5 TP Fox000000
6CX 6.5 MV Wu000000
7CX 6.5 CSC Eyre000000
8CX 6.5 WE Siebenschuh000000
9CX 6.5 WR Treblas000000
10CX 6.5 AO McFarland000000
11CX 6.5 PW Hensley000000
12CX 6.5 LT Serdinak000000
13CX 6.5 LT Quist000000

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 2.77 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.

3.03
Tao You
published
3.00
Xiaojuan Li
published
2.98
Vinit Makkar
published
2.95
Yuping Wu
published
2.87
Jerald Miluk
published
2.86
Felicia Norman
published 3
Bin Zhao
published 3
2.71
MEI LI
published
2.70
Zhigang Gao
published
2.33
Jin Shao
published
2.32
Ritu Makkar
published
Richard Fan
published
Richard Rozell
published
Robert Zhang
published
Xiaofeng Wang
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.

Vinit Makkar + Ritu Makkar4647% gamesnot enough data
Zhigang Gao + Jin Shao7257% gamesnot enough data
Yuping Wu + Richard Fan2343% gamesnot enough data
MEI LI + Robert Zhang314 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.

Tao You
15W–12L career · no lines in 2026
<1%41%59%
3.03
Xiaojuan Li
27W–30L career · no lines in 2026
51%49%<1%
3.00
Vinit Makkar
21W–23L career · no lines in 2026
56%44%<1%
2.98
Yuping Wu
45W–31L career · no lines in 2026
<1%64%36%
2.95
Jerald Miluk
35W–28L career · no lines in 2026
<1%84%15%
2.87
3
Felicia Norman
45W–36L career · no lines in 2026
<1%85%15%
2.86
3
Bin Zhao
no matches on record · no lines in 2026
not enough data
MEI LI
49W–37L career · no lines in 2026
6%93%1%
2.71
Zhigang Gao
21W–42L career · no lines in 2026
6%93%1%
2.70
Jin Shao
24W–24L career · no lines in 2026
0%91%9%
2.33
Ritu Makkar
28W–50L career · no lines in 2026
92%8%<1%
2.32
Richard Fan
2W–3L career · no lines in 2026
not enough data
Richard Rozell
8W–13L career · no lines in 2026
not enough data
Robert Zhang
11W–4L career · no lines in 2026
not enough data
Xiaofeng Wang
16W–22L 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.