Teams

MSIL A18&O 3.5M Spin Doctors

2025 MSIL Adult 18 & Over -MSIL East League · East MSIL A18 & O 3.5M

15 players · average NTRP 3.55 / 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 standings4 teams · East MSIL A18 & O 3.5M
TeamWLInd. WInd. LSets lostGames lost
1MSIL A18&O 3.5M Spin Doctors8136922280
2MSIL A18&O 3.5M KTC54242148389
3MSIL A18&O 3.5M B4B36172860422
4MSIL A18&O 3.5M Smokin' Aces27133270456

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 3.37 estimated across 11 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.

3.76
Christopher Sisson
usually #2 Doubles 67%, also #3 Doubles 22% · published 4
3.69
Angad Mehta
usually #3 Doubles 50%, also #1 Doubles 50% · published 4
3.44
3.43
Charles Sikora
usually #3 Doubles 100% · published 3.5
3.35
Geoffrey Lin
published 3.5
3.34
Lijian Zhang
usually #2 Doubles 60%, also #1 Doubles 20% · published 3.5
3.29
3.28
Mark Killick
published
Ben Lee
published 3.5
3.24
Gaston Suardiaz
usually #1 Singles 50%, also #2 Singles 50% · published 3.5
3.20
Doyeon Kim
published 3.5
3.03
Hans Dee
published 3.5
Adam Betz
published 3
John Delanois
published
Kai 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.

Mark Killick + John Delanois5062% gamesnot enough data
Lijian Zhang + Angad Mehta224 matchesnot enough data
Lijian Zhang + Charles Sikora123 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
Christopher Sisson
44W–25L career · 9 lines in 2025
2%94%3%
3.76
4
Angad Mehta
50W–18L career · 2 lines in 2025
7%92%1%
3.69
Luis Felipe Hernandez
17W–8L career · no lines in 2025
68%32%<1%
3.44
3.5
Charles Sikora
42W–47L career · 3 lines in 2025
<1%71%29%
3.43
3.5
Geoffrey Lin
14W–15L career · no lines in 2025
<1%87%13%
3.35
3.5
Lijian Zhang
112W–59L career · 5 lines in 2025
<1%88%11%
3.34
3.5
Arthur de Oliveira Lima
15W–5L career · no lines in 2025
1%93%5%
3.29
Mark Killick
19W–21L career · no lines in 2025
2%94%4%
3.28
3.5
Ben Lee
no matches on record · no lines in 2025
not enough data
3.5
Gaston Suardiaz
12W–20L career · 2 lines in 2025
3%95%2%
3.24
3.5
Doyeon Kim
19W–7L career · no lines in 2025
6%93%1%
3.20
3.5
Hans Dee
28W–33L career · no lines in 2025
42%58%<1%
3.03
3
Adam Betz
2W–1L career · no lines in 2025
not enough data
John Delanois
29W–17L career · no lines in 2025
not enough data
Kai Wang
15W–9L 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.