Teams

HoKova 9.0

2021 Howard-Columbia Mixed 40 & Over · Howard Columbia Mixed 40 & Over 9.0

13 players · average NTRP 4.62 / MARYLAND

View scouting list →
Schedule7 played
2021-08-17vs VissernatorWon 10
W#3 DoublesDONALD CRAWLEY / Heather Herman vs Jessica Lee / James Daniel Kohr II3-6, 6-3, 1-0
2021-08-09vs VissernatorWon 10
W#1 DoublesHeather Herman / DONALD CRAWLEY vs Dao Phan-Vissering / Matthew Baker6-2, 6-0
2021-07-30vs VissernatorLost 01
L#3 DoublesInese Williamson / Jared Fly vs Angel Batkins / James Smoot4-6, 6-1, 0-1
2021-07-20vs VissernatorWon 10
W#3 DoublesInese Williamson / Jared Fly vs Maureen Kolb / Leonard Tetteh7-5, 5-7, 1-0
2021-07-07vs VissernatorLost 01
L#1 DoublesInese Williamson / Jared Fly vs Angel Batkins / Jonathan Vissering5-7, 1-6
2021-07-01vs VissernatorWon 10
W#1 DoublesJared Fly / Inese Williamson vs Matthew Baker / Angel Batkins7-5, 6-3
2021-06-22Won 10
W#3 DoublesJennifer Pfister / DONALD CRAWLEY vs N/A6-0, 6-0
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 Howard Columbia Mixed 40 & Over 9.0 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 4.36 estimated across 9 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.

5.07
Inese Williamson
published 5
4.81
4.68
Heather Herman
published 5
4.40
Matthew Geppi
published 4.5
Gregory Chambers
published 4.5
4.18
Michele Brammer
published
4.16
Jared Fly
usually #1 Doubles 71%, also #3 Doubles 29% · published 4.5
4.04
Henry Cha
published 4.5
4.04
Jean Lim
published
3.85
DONALD CRAWLEY
usually #1 Doubles 50%, also #3 Doubles 25% · published 4
Lori Brathwaite
published
Nita Elie
published
Vince Ha
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.

Henry Cha + Jean Lim4940% games−4.6% vs expected
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.

5
Inese Williamson
28W–15L career · no lines in 2021
<1%30%70%
5.07
5
Gregory Rabinovich
10W–4L career · no lines in 2021
1%92%7%
4.81
5
Heather Herman
14W–7L career · no lines in 2021
8%91%1%
4.68
4.5
Matthew Geppi
225W–81L career · no lines in 2021
<1%77%23%
4.40
4.5
Gregory Chambers
1W–1L career · no lines in 2021
not enough data
Michele Brammer
9W–8L career · no lines in 2021
8%91%1%
4.18
4.5
Jared Fly
206W–121L career · 7 lines in 2021
12%88%<1%
4.16
4.5
Henry Cha
25W–50L career · no lines in 2021
39%61%<1%
4.04
Jean Lim
18W–38L career · no lines in 2021
39%61%<1%
4.04
4
DONALD CRAWLEY
473W–252L career · 8 lines in 2021
<1%87%12%
3.85
Lori Brathwaite
9W–10L career · no lines in 2021
not enough data
Nita Elie
0W–14L career · no lines in 2021
not enough data
Vince Ha
9W–11L career · no lines in 2021
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.