Teams

Cracked Rackets

2022 Montgomery Adult 18 & Over Spring · Montgomery Adult 18 & Over 3.0 Men

9 players · average NTRP 3.50 / MARYLAND

View scouting list →
Schedule10 played
2022-06-30vs KRO-naSplit 11
L#1 DoublesLuis Fuenzalida / Rudolph Isaac vs Todd Templeman / Andrew Brammer3-6, 0-6
W#2 DoublesMalcolm Magee / Timothy Murphy vs Joe MacHovec / Kevin Ro6-0, 6-3
2022-06-27Lost 01
L#2 DoublesMark Wang / Luis Fuenzalida vs Pat Laclef / Bob Levering7-6, 3-6, 0-1
2022-06-20Won 10
W#2 DoublesJi Cha / Mark Wang vs Rick Ball / Bill Keating6-1, 6-0
2022-06-14vs DefendersWon 10
W#1 SinglesMalcolm Magee vs Carl Colin3-6, 6-4, 1-0
2022-06-02vs DefendersWon 10
W#2 DoublesTimothy Murphy / Luis Fuenzalida vs William Trimble / Carl Colin7-5, 6-3
2022-05-25vs KRO-naWon 20
W#1 DoublesJi Cha / Rudolph Isaac vs Bill Hartman / Kevin Ro7-6, 6-1
W#2 DoublesVictor Sanchez / Malcolm Magee vs Bill Keating / Jason Baumann6-3, 6-1
2022-05-16vs DefendersWon 10
W#2 DoublesMalcolm Magee / Victor Sanchez vs Raymond Barry / Malcolm Frazier6-1, 6-0
2022-05-13Won 10
W#2 DoublesJi Cha / Franklin Sorto vs Jason Baumann / Tony Feric6-1, 6-1
2022-05-02Won 10
W#2 DoublesMartin MacAlister / Malcolm Magee vs Bill Keating / Rick Ball5-7, 6-2, 1-0
2022-04-24vs DefendersWon 10
W#1 DoublesJi Cha / Martin MacAlister vs Richard McKeon / Peter Tice6-2, 6-1
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 Montgomery Adult 18 & Over 3.0 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 3.27 estimated across 8 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.

3.81
Ji Cha
usually #1 Doubles 50%, also #2 Doubles 50% · published 4
3.56
Gabriel Silverman
published 3.5
3.32
Victor Sanchez
published
3.31
Franklin Sorto
published 3.5
3.28
Mark Wang
published
3.12
Rudolph Isaac
published
2.92
Malcolm Magee
usually #2 Doubles 80%, also #1 Singles 20% · published 3
2.83
Luis Fuenzalida
usually #2 Doubles 67%, also #1 Doubles 33% · published 3
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
Ji Cha
70W–32L career · 4 lines in 2022
1%92%7%
3.81
4
Christopher Grant
27W–8L career · no lines in 2022
not enough data
3.5
Gabriel Silverman
14W–4L career · no lines in 2022
<1%31%69%
3.56
Victor Sanchez
32W–28L career · no lines in 2022
1%91%8%
3.32
3.5
Franklin Sorto
10W–9L career · no lines in 2022
1%92%7%
3.31
Mark Wang
11W–15L career · no lines in 2022
1%94%5%
3.28
Rudolph Isaac
46W–25L career · no lines in 2022
19%81%<1%
3.12
3
Malcolm Magee
58W–42L career · 5 lines in 2022
<1%74%26%
2.92
3
Luis Fuenzalida
22W–17L career · 3 lines in 2022
1%90%9%
2.83

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.