Teams

Mid-Court Crisis/Mookerjea/Fremont

2026 Tri-Level 4.0 · 4.5

12 players · average NTRP 4.75 / NO. CALIFORNIA

View scouting list →
Schedule4 played
2026-04-18vs GLHF/Liang/Mountain ViewWon 21
W#1 DoublesRohit Nakra / Joshua Kaye vs Kevin Liang / Denis Sergeychik6-3, 7-5
W#2 DoublesMatt Lin / Imran Allana vs Alexander Liu / George Chang6-2, 6-1
L#3 DoublesMasashi Omori / Kevin Wong-Zelaya vs Calvin Chang / Vatsal Shah6-3, 2-6, 0-1
2026-04-18vs Fold Pizza/Arndt/SFWon 21
W#1 DoublesScott Monismith / David Verdeflor vs Eric Temkin / Maximo Agoglia6-3, 3-6, 1-0
W#2 DoublesMatt Lin / Dillon Lam vs Wesley Chen / Kaisen Chen6-4, 7-6
L#3 DoublesKen Ong / Kevin Wong-Zelaya vs Erik Lee / Sharan Shodhan0-6, 3-6
2026-04-17vs Sushi Fighters/Rogers/MoragaLost 12
L#1 DoublesScott Monismith / Joshua Kaye vs Nick Stocker / Timothy Rogers2-6, 3-6
W#2 DoublesDillon Lam / Soham Mookerjea vs Bryan Rodrigues / Connor Ard6-2, 4-6, 1-0
L#3 DoublesTajoe Lun / Masashi Omori vs Phil Miller / Albert Acosta4-6, 6-7
2026-04-17vs Ngo Mans Landers!/Ngo/San JoseLost 12
L#1 DoublesDavid Verdeflor / Rohit Nakra vs Daniel Harris / Ryan Sablan1-6, 4-6
W#2 DoublesImran Allana / Matt Lin vs Ashwin Seshadri Kalathur / Michael Shin6-3, 2-6, 1-0
L#3 DoublesKen Ong / Tajoe Lun vs Anurag Chaudhary / Benjamin Brown3-6, 6-7
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 standings9 teams · 4.5
TeamWLInd. WInd. LSets lostGames lost
1Ngo Mans Landers!/Ngo/San Jose3184889
2Henny's Henchmen/Chun/Sunnyvale319310114
3Fold Pizza/Arndt/SF31751195
4Mervin Morris/Hernandez/San Lorenzo225714116
5Mid-Court Crisis/Mookerjea/Fremont226615119
6Sushi Fighters/Rogers/Moraga226615119
7Gladiators/Jefferson/Pleasanton225716123
8What's The Score/Saquilayan/Modesto134817130
9GLHF/Liang/Mountain View044820139

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 4.18 estimated across 12 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.

4.45
Scott Monismith
usually #1 Doubles 100% · published
4.44
Joshua Kaye
usually #1 Doubles 100% · published
4.41
Dillon Lam
usually #2 Doubles 100% · published 4.5
4.38
Imran Allana
usually #2 Doubles 100% · published
4.35
Soham Mookerjea
usually #2 Doubles 100% · published
4.30
David Verdeflor
usually #1 Doubles 100% · published 5
4.30
Matt Lin
usually #2 Doubles 100% · published
4.27
Rohit Nakra
usually #1 Doubles 100% · published
3.93
Masashi Omori
usually #3 Doubles 100% · published
3.81
Tajoe Lun
usually #3 Doubles 100% · published
3.80
Kevin Wong-Zelaya
usually #3 Doubles 100% · published
3.74
Ken Ong
usually #3 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.

Joshua Kaye + Soham Mookerjea0527% games−9.2% vs expected
David Verdeflor + Imran Allana3248% gamesnot enough data
David Verdeflor + Scott Monismith224 matchesnot enough data
David Verdeflor + Rohit Nakra123 matchesnot enough data
Joshua Kaye + Rohit Nakra213 matchesnot enough data
Joshua Kaye + Scott Monismith123 matchesnot enough data
Imran Allana + Rohit Nakra213 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.

Scott Monismith
14W–14L career · 2 lines in 2026
<1%65%35%
4.45
Joshua Kaye
16W–18L career · 2 lines in 2026
<1%65%34%
4.44
4.5
Dillon Lam
11W–3L career · 2 lines in 2026
<1%74%25%
4.41
Imran Allana
17W–8L career · 2 lines in 2026
<1%80%20%
4.38
Soham Mookerjea
14W–16L career · 1 line in 2026
1%85%14%
4.35
5
David Verdeflor
7W–6L career · 2 lines in 2026
no projection at this level
4.30
Matt Lin
8W–7L career · 3 lines in 2026
2%91%7%
4.30
Rohit Nakra
5W–5L career · 2 lines in 2026
3%92%5%
4.27
Masashi Omori
6W–8L career · 2 lines in 2026
<1%69%31%
3.93
Tajoe Lun
13W–5L career · 2 lines in 2026
91%9%<1%
3.81
Kevin Wong-Zelaya
14W–6L career · 2 lines in 2026
2%91%7%
3.80
Ken Ong
30W–9L career · 2 lines in 2026
5%92%3%
3.74

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.