Teams

TOC.Sachan

2022 CTRL Fall Singles 18 & Over · Fall Singles 18 & Over 4.0 Men

5 players · average NTRP 3.90 / NORTH CAROLINA

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
2022-12-12vs TOC.SankarLost 03
L#1 SinglesGhanshyamsinh Gohil vs Sandeep Verghese0-6, 1-6
L#2 SinglesDEEPAK GAONKAR vs Anoop Sankar1-6, 3-6
L#3 SinglesAmit Sachan vs Deepak Jayashankaran3-6, 5-7
2022-11-21vs TOC.GalloSplit 11
L#2 SinglesManish Maheshwari vs Sergii Porokh2-6, 2-6
W#3 SinglesAmit Sachan vs Dan Podrasky7-5, 6-4
2022-11-01vs APEX.PerianLost 01
L#1 SinglesManish Maheshwari vs Rahul Narang0-6, 2-6
2022-10-30vs TOC.FuWon 20
W#1 SinglesManish Maheshwari vs Ryan Berliner6-2, 6-4
W#3 SinglesAmit Sachan vs Daniel Moore6-0, 6-1
2022-10-11vs TOC.ChristensonLost 02
L#1 SinglesDEEPAK GAONKAR vs Jared Balcavage1-6, 2-6
L#2 SinglesManish Maheshwari vs Migel Hidalgo Saldana0-6, 0-6
2022-10-04vs LOCH.HeaphyLost 02
L#1 SinglesManish Maheshwari vs Scott Anderson3-6, 4-6
L#2 SinglesAmit Sachan vs Everett Laborde3-6, 6-3, 0-1
2022-09-27vs MVL.BhowmikWon 21
W#1 SinglesManish Maheshwari vs Kapil Dukle6-2, 6-2
W#2 SinglesGhanshyamsinh Gohil vs Sushrut Bhowmik6-3, 6-0
L#3 SinglesAmit Sachan vs Ananth Shankar5-7, 6-2, 0-1
2022-09-19vs TOC.DewberryWon 10
W#3 SinglesGhanshyamsinh Gohil vs Christopher Green7-6, 3-6, 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 standings for Fall Singles 18 & Over 4.0 Men 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 3.67 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.

4.05
Ghanshyamsinh Gohil
usually #3 Singles 33%, also #2 Singles 33% · published 4
3.88
Diego Angelo
published 4
3.57
Manish Maheshwari
usually #1 Singles 67%, also #2 Singles 33% · published 4
3.43
DEEPAK GAONKAR
usually #1 Singles 50%, also #2 Singles 50% · published 4
3.39
Amit Sachan
usually #3 Singles 80%, also #2 Singles 20% · published 3.5
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.

Amit Sachan + DEEPAK GAONKAR9655% gamesnot enough data
Amit Sachan + Ghanshyamsinh Gohil6252% gamesnot enough data
Amit Sachan + Manish Maheshwari123 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
Ghanshyamsinh Gohil
203W–81L career · 3 lines in 2022
<1%34%66%
4.05
4
Diego Angelo
10W–6L career · no lines in 2022
<1%82%18%
3.88
4
Manish Maheshwari
49W–52L career · 6 lines in 2022
29%71%<1%
3.57
4
DEEPAK GAONKAR
49W–61L career · 2 lines in 2022
71%29%<1%
3.43
3.5
Amit Sachan
256W–241L career · 5 lines in 2022
<1%80%20%
3.39

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.