Teams

3.0 Men Champaign

MSIL Adult Other · 3.0 Men

16 players · average NTRP 3.10 / MID-SOUTH ILLINOIS

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 standings2 teams · 3.0 Men
TeamWLInd. WInd. LSets lostGames lost
13.0 Men Champaign000000
23.0 Men Peoria Singles000000

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 2.78 estimated across 12 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.

3.12
Cristhian Molina
published 3.5
3.04
David Molitor
published 3.5
2.93
Yongbin Kim
published
2.85
Dmitry Dmitriev
published 3
2.83
Jay Rafi
published
2.78
Andrew Flores
published 3
Dhruve Ashar
published 3
2.73
Aditya Gopalan
published 3
2.69
Dantzler Smith
published 3
2.69
Jake Rundall
published 3
2.69
Yifan Ding
published
2.58
Steven Peckins
published
2.46
Aasheesh Randeo
published 3
Timothy Ellis
published
Yannick Kluch
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.

Jake Rundall + Dantzler Smith224 matchesnot enough data
Yongbin Kim + Steven Peckins123 matchesnot enough data
Dantzler Smith + Jay Rafi033 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.

3.5
Cristhian Molina
11W–15L career · no lines in 2025
18%82%<1%
3.12
3.5
David Molitor
3W–10L career · no lines in 2025
37%63%<1%
3.04
Yongbin Kim
16W–22L career · no lines in 2025
70%30%<1%
2.93
3
Dmitry Dmitriev
2W–3L career · type S · no lines in 2025
<1%88%12%
2.85
Jay Rafi
7W–21L career · no lines in 2025
1%90%9%
2.83
3
Alberto Albejjani
10W–9L career · no lines in 2025
2%94%4%
2.78
3
Andrew Flores
no matches on record · no lines in 2025
not enough data
3
Dhruve Ashar
10W–7L career · no lines in 2025
not enough data
3
Aditya Gopalan
4W–9L career · no lines in 2025
4%94%2%
2.73
3
Dantzler Smith
13W–20L career · no lines in 2025
7%92%1%
2.69
3
Jake Rundall
7W–18L career · no lines in 2025
7%92%1%
2.69
Yifan Ding
3W–9L career · no lines in 2025
8%92%1%
2.69
Steven Peckins
4W–15L career · no lines in 2025
26%74%<1%
2.58
3
Aasheesh Randeo
0W–6L career · type S · no lines in 2025
62%38%<1%
2.46
Timothy Ellis
7W–12L career · no lines in 2025
not enough data
Yannick Kluch
8W–14L career · no 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.