Teams

MSIL 4.0M Tri-Level The Hot Shots

2023 MSIL Tri-Level · MSIL 4.0M Tri-Level

13 players · average NTRP 3.25 / 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 →
Schedule8 played
L#1 DoublesSabari Giri / Shekar Arcot vs Aaron Rapp / Ryan Sikora5-7, 5-7
W#2 DoublesSri Sai Kaushik Mushty / Vijayaragavan Venkatasamy vs Mark Miller / D Comte0-6, 6-1, 1-0
L#3 DoublesDan Martin / Nicolas Morales vs Christopher Golick / Don Varghese2-6, 3-6
W#1 DoublesMadhu Reddy / Timothy Latronico vs Chris Sarol / Andy Wilke6-4, 6-2
W#2 DoublesVijayaragavan Venkatasamy / Sri Sai Kaushik Mushty vs Kai Wang / Francesco Botticella5-7, 6-1, 1-0
L#3 DoublesBill Poorman / Erik Siembab vs Alejandro Hug / Ignacio Arretche1-6, 5-7
L#1 DoublesTimothy Latronico / Sabari Giri vs Christopher Kuehn / Daniel O'Brien2-6, 3-6
L#2 DoublesShekar Arcot / Sri Sai Kaushik Mushty vs Kai Wang / Doyeon Kim6-2, 2-6, 0-1
L#3 DoublesBill Poorman / Dan Martin vs Alejandro Hug / Francesco Botticella6-2, 1-6, 1-0
L#1 DoublesRoger Bruere / Sabari Giri vs Ryan Sikora / Aaron Rapp3-6, 3-6
L#2 DoublesJames Davis / Vijayaragavan Venkatasamy vs Craig Conway / Mark Killick3-6, 4-6
L#3 DoublesErik Siembab / Dan Martin vs Joseph McCarron / Christopher Golick6-4, 3-6, 1-0
W#1 DoublesTimothy Latronico / Sabari Giri vs Sean Miller / Aaron Rapp6-2, 6-7, 1-0
W#2 DoublesVijayaragavan Venkatasamy / Roger Bruere vs Mark Killick / Todd Kettering6-4, 6-0
L#3 DoublesBob Clay / Dan Martin vs Joseph McCarron / Christopher Golick1-6, 2-6
W#1 DoublesTimothy Latronico / Sabari Giri vs Chris Sarol / Christopher Kuehn4-6, 7-6, 1-0
W#2 DoublesShekar Arcot / Madhu Reddy vs Charles Sikora / Thomas Sanner6-2, 6-2
L#3 DoublesErik Siembab / Nicolas Morales vs Francesco Botticella / Alejandro Hug5-7, 6-4, 0-1
W#1 DoublesTimothy Latronico / Roger Bruere vs Ryan Sikora / Aaron Rapp6-3, 6-2
L#2 DoublesSri Sai Kaushik Mushty / James Davis vs Todd Kettering / Don Varghese3-6, 4-6
W#1 DoublesTimothy Latronico / Sabari Giri vs Noel Castro / Christopher Kuehn1-6, 6-3, 1-0
L#2 DoublesRoger Bruere / Sri Sai Kaushik Mushty vs Doyeon Kim / Kai Wang2-6, 3-6
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 MSIL 4.0M Tri-Level 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 3.30 estimated across 5 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.

3.80
Timothy Latronico
usually #1 Doubles 100% · published
3.45
Madhu Reddy
usually #1 Doubles 50%, also #2 Doubles 50% · published
Dan Martin
published 3.5
3.25
Erik Siembab
usually #3 Doubles 100% · published 3.5
3.17
Shekar Arcot
usually #2 Doubles 67%, also #1 Doubles 33% · published
2.86
Bill Poorman
usually #3 Doubles 100% · published 3
Bob Clay
usually #3 Doubles 100% · published 3
Michael Dorr
published
Nicolas Morales
usually #3 Doubles 100% · published
Roger Bruere
usually #1 Doubles 50%, also #2 Doubles 50% · published
Sabari Giri
usually #1 Doubles 100% · published
Sri Sai Kaushik Mushty
usually #2 Doubles 100% · published
Vijayaragavan Venkatasamy
usually #2 Doubles 100% · 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.

Shekar Arcot + Madhu Reddy6168% games+13.4% vs expected
Michael Dorr + Erik Siembab2450% games+7.0% vs expected
Sri Sai Kaushik Mushty + Madhu Reddy7068% gamesnot enough data
Bill Poorman + Sri Sai Kaushik Mushty2349% gamesnot enough data
Timothy Latronico + Sabari Giri314 matchesnot enough data
Bill Poorman + Roger Bruere404 matchesnot enough data
Bill Poorman + Erik Siembab123 matchesnot enough data
Shekar Arcot + Sri Sai Kaushik Mushty123 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.

Timothy Latronico
42W–20L career · 6 lines in 2023
1%93%6%
3.80
Madhu Reddy
49W–19L career · 2 lines in 2023
<1%65%35%
3.45
3.5
Dan Martin
12W–11L career · no lines in 2023
not enough data
3.5
Erik Siembab
90W–95L career · 3 lines in 2023
3%95%2%
3.25
Shekar Arcot
36W–23L career · 3 lines in 2023
10%89%1%
3.17
3
Bill Poorman
24W–29L career · 2 lines in 2023
<1%86%14%
2.86
3
Bob Clay
10W–21L career · 1 line in 2023
not enough data
Michael Dorr
11W–19L career · no lines in 2023
not enough data
Nicolas Morales
7W–6L career · 2 lines in 2023
not enough data
Roger Bruere
24W–10L career · 4 lines in 2023
not enough data
Sabari Giri
16W–4L career · 6 lines in 2023
not enough data
Sri Sai Kaushik Mushty
25W–17L career · 5 lines in 2023
not enough data
Vijayaragavan Venkatasamy
6W–3L career · 4 lines in 2023
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.