Teams

MSIL 6.5M Fall Combo Ashar-Champaign

2025 MSIL Fall Combo · East MSIL 6.5M Combo

9 players · average NTRP 3.40 / 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 →
Schedule6 played
L#1 DoublesCristhian Molina / Yongbin Kim vs Alberto Albejjani / Noel Castro4-6, 5-7
W#1 DoublesJoe Settelmyer / Yongbin Kim vs Carl Guo / Andy Hur6-1, 6-3
2025-10-26vs MSIL 6.5M Fall Combo Smith-ChampaignSplit 11
L#2 DoublesDavid Molitor / Cristhian Molina vs Andy Wilke / Dantzler Smith7-5, 3-6, 0-1
W#3 DoublesDhruve Ashar / Andrew Flores vs Geoffrey Lin / Jake Rundall6-2, 3-6, 1-0
2025-10-16vs MSIL 6.5M Fall Combo Smith-ChampaignSplit 11
L#1 DoublesLorenzo Vergari / Dhruve Ashar vs Geoffrey Lin / Aditya Gopalan6-1, 6-7, 0-1
W#2 DoublesTHOMAS WILSON / Cristhian Molina vs Nicholas LeVanti / Hyegi Min6-4, 7-5
W#1 DoublesJoe Settelmyer / Dhruve Ashar vs Chris Sarol / Christian Sarol7-5, 2-6, 1-0
L#3 DoublesTHOMAS WILSON / David Molitor vs Noel Castro / Alberto Albejjani2-6, 6-4, 0-1
W#1 DoublesLorenzo Vergari / David Molitor vs Eric Kuo / Aaron Pearlman6-4, 3-6, 1-0
W#3 DoublesJoe Settelmyer / Yongbin Kim vs Eduard Kirr / Hyegi Min6-1, 6-1
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 East MSIL 6.5M Combo 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 3.23 estimated across 7 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.

3.56
Christopher Kuehn
usually #2 Doubles 67%, also #1 Doubles 22% · published 4
3.45
Joe Settelmyer
usually #1 Doubles 50%, also #3 Doubles 25% · published
3.40
Lorenzo Vergari
usually #1 Doubles 100% · published
3.19
Cristhian Molina
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
3.10
THOMAS WILSON
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.03
David Molitor
usually #2 Doubles 33%, also #1 Doubles 33% · published 3.5
2.91
Yongbin Kim
usually #1 Doubles 67%, also #3 Doubles 33% · published
Andrew Flores
published 3
Dhruve Ashar
usually #1 Doubles 67%, also #3 Doubles 33% · published 3
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
Christopher Kuehn
50W–53L career · 9 lines in 2025
33%67%<1%
3.56
Joe Settelmyer
10W–4L career · 4 lines in 2025
<1%65%35%
3.45
Lorenzo Vergari
22W–20L career · 3 lines in 2025
<1%76%24%
3.40
3.5
Cristhian Molina
11W–15L career · 3 lines in 2025
9%90%1%
3.19
THOMAS WILSON
36W–35L career · 2 lines in 2025
25%75%<1%
3.10
3.5
David Molitor
3W–10L career · 3 lines in 2025
41%59%<1%
3.03
Yongbin Kim
16W–22L career · 3 lines in 2025
73%27%<1%
2.91
3
Andrew Flores
1W–1L career · no lines in 2025
not enough data
3
Dhruve Ashar
10W–7L career · 3 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.