Teams

MSIL 6.5M Combo Baseline Beasts

2022 MSIL Fall Combo · MSIL 6.5M Fall Combo

8 players · average NTRP 3.00 / 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 →
Schedule11 played
W#1 DoublesSri Sai Kaushik Mushty / Roger Bruere vs Michael Herzog / Craig Conway7-5, 3-6, 1-0
W#2 DoublesBill Poorman / Thuy Le vs Fei Wang / Dan Martin6-2, 5-7, 1-0
W#1 DoublesSri Sai Kaushik Mushty / Roger Bruere vs Dan Martin / Todd Kettering6-4, 6-3
L#2 DoublesBill Poorman / Greg Metz vs Michael Herzog / Craig Conway6-3, 2-6, 1-0
W#3 DoublesJoseph Kottoor / Nicolas Morales vs Erik Siembab / Mark Miller6-2, 6-3
W#1 DoublesSri Sai Kaushik Mushty / Madhu Reddy vs Michael Herzog / Craig Conway7-6, 6-2
L#2 DoublesJoe Mulcahey / Nicolas Morales vs Benjamin Martin / Todd Kettering7-5, 4-6, 0-1
L#3 DoublesJoseph Kottoor / Greg Metz vs Dan Martin / Mark Miller6-2, 4-6, 0-1
W#1 DoublesThuy Le / Roger Bruere vs Fei Wang / Michael Herzog7-5, 7-6
W#2 DoublesSri Sai Kaushik Mushty / Madhu Reddy vs Benjamin Martin / Mark Miller6-0, 6-1
L#3 DoublesBill Poorman / Nicolas Morales vs Craig Conway / Ravi Singhal5-7, 5-7
L#1 DoublesBill Poorman / James Queenan vs Michael Herzog / Chandra Yedavalli4-6, 4-6
W#2 DoublesMadhu Reddy / Sri Sai Kaushik Mushty vs Dan Martin / Craig Conway6-4, 6-1
L#3 DoublesRoger Bruere / Nicolas Morales vs Erik Siembab / Mark Miller2-6, 6-2, 0-1
W#1 DoublesGreg Metz / Joe Mulcahey vs James Davis / Michael Herzog6-4, 6-2
L#2 DoublesThuy Le / Joseph Kottoor vs Dan Martin / Mark Miller2-6, 4-6
W#3 DoublesRoger Bruere / Nicolas Morales vs Erik Siembab / Fei Wang7-5, 7-6
L#1 DoublesJoe Mulcahey / James Queenan vs Fei Wang / Benjamin Martin3-6, 3-6
L#2 DoublesJoseph Kottoor / Thuy Le vs Michael Herzog / Mark Miller2-6, 6-4, 0-1
L#3 DoublesBill Poorman / Sri Sai Kaushik Mushty vs Erik Siembab / Todd Kettering2-6, 6-7
W#1 DoublesNicolas Morales / Bill Poorman vs Hans Kurniawan / Ravi Singhal7-5, 6-4
W#3 DoublesSri Sai Kaushik Mushty / Madhu Reddy vs Douglas Kinas / Dan Martin6-3, 6-2
W#1 DoublesJames Queenan / Roger Bruere vs Erik Siembab / James Davis6-2, 3-6, 1-0
W#2 DoublesJoseph Kottoor / Sri Sai Kaushik Mushty vs Fei Wang / Ravi Singhal6-0, 6-1
W#3 DoublesMadhu Reddy / Thuy Le vs Hans Kurniawan / Michael Herzog6-1, 6-1
W#1 DoublesBill Poorman / Sri Sai Kaushik Mushty vs Erik Siembab / James Davis6-2, 6-4
W#2 DoublesNicolas Morales / Joseph Kottoor vs Benjamin Martin / Chandra Yedavalli6-3, 6-2
L#3 DoublesJoe Mulcahey / Thuy Le vs Michael Herzog / Douglas Kinas3-6, 4-6
W#1 DoublesMadhu Reddy / Sri Sai Kaushik Mushty vs Benjamin Martin / Douglas Kinas6-3, 5-7, 1-0
W#2 DoublesJames Queenan / Roger Bruere vs Fei Wang / Michael Herzog7-6, 6-4
W#3 DoublesJoe Mulcahey / Thuy Le vs Hans Kurniawan / Dan Martin6-2, 4-6, 1-0
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 standings2 teams · MSIL 6.5M Fall Combo
TeamWLInd. WInd. LSets lostGames lost
1MSIL 6.5M Combo Baseline Beasts83201331288
2MSIL 6.5M Combo Fei's Fantastic Fighters38122147354

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 3.06 estimated across 3 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.

3.45
Madhu Reddy
usually #2 Doubles 33%, also #1 Doubles 33% · published
2.87
Joe Mulcahey
usually #1 Doubles 40%, also #3 Doubles 40% · published
2.86
Bill Poorman
usually #1 Doubles 43%, also #2 Doubles 29% · published 3
Greg Metz
usually #1 Doubles 33%, also #2 Doubles 33% · published
Nicolas Morales
usually #3 Doubles 57%, also #2 Doubles 29% · published
Roger Bruere
usually #1 Doubles 57%, also #3 Doubles 29% · published
Sri Sai Kaushik Mushty
usually #1 Doubles 50%, also #2 Doubles 30% · published
Thuy Le
usually #2 Doubles 43%, also #3 Doubles 43% · 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.

Sri Sai Kaushik Mushty + Madhu Reddy7068% gamesnot enough data
Bill Poorman + Sri Sai Kaushik Mushty2349% gamesnot enough data
Bill Poorman + Roger Bruere404 matchesnot enough data
Joe Mulcahey + Thuy Le224 matchesnot enough data
Sri Sai Kaushik Mushty + Roger Bruere213 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.

Madhu Reddy
49W–19L career · 6 lines in 2022
<1%65%35%
3.45
Joe Mulcahey
30W–60L career · 5 lines in 2022
<1%83%17%
2.87
3
Bill Poorman
24W–29L career · 7 lines in 2022
<1%86%14%
2.86
Greg Metz
1W–2L career · 3 lines in 2022
not enough data
Nicolas Morales
7W–6L career · 7 lines in 2022
not enough data
Roger Bruere
24W–10L career · 7 lines in 2022
not enough data
Sri Sai Kaushik Mushty
25W–17L career · 10 lines in 2022
not enough data
Thuy Le
15W–8L career · 7 lines in 2022
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.