Teams

BKaulback 40+ 6.0 Mixed

2022 Cap Mixed 40 & over · 6.0 Mixed

11 players · average NTRP 3.00 / NORTH CAROLINA

View scouting list →
Schedule6 played
2022-07-21vs ADeMacySplit 11
W#1 DoublesBrian Kaulback / Jennifer Kaulback vs John Nani / Kristen Levine4-6, 6-2, 1-0
L#2 DoublesLaurie Holderness / Brian Pickett vs Kathryn Nani / Jeremy Broglin2-6, 3-6
2022-07-14vs SKingWon 20
W#1 DoublesBrian Kaulback / Jennifer Kaulback vs Laura Stanziale / Michael Stanziale6-0, 6-1
W#2 DoublesLaurie Holderness / Michael Gee vs Stephanie King / Charles King6-3, 6-4
2022-06-30vs PAlford 40+Won 10
W#1 DoublesBrian Kaulback / Jennifer Kaulback vs Matthew Alford / Melissa House6-3, 6-3
2022-06-28vs LElliott 40+Won 20
W#2 DoublesLaurie Holderness / Michael Gee vs Lee Teague / Kelly Foglia7-5, 6-4
W#3 DoublesJennifer Kaulback / Brian Kaulback vs Lori Elliott / Ronald Elliott6-1, 6-3
2022-06-22vs JNance40+MixedLost 01
L#2 DoublesBeth Farrell / Michael Gee vs Bobby Hammond / Jennifer Maier0-6, 1-6
2022-06-09vs JCooperWon 10
W#1 DoublesBrian Kaulback / Jennifer Kaulback vs Dewayne Southern / Karen Southern3-6, 6-2, 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 6.0 Mixed 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 2.77 estimated across 10 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.

3.28
Samantha Pickett
published
3.25
Jennifer Kaulback
published 3.5
3.15
Brian Kaulback
usually #1 Doubles 80%, also #3 Doubles 20% · published 3.5
2.89
Mike Spinak
published
2.84
Beth Farrell
published 3
2.84
Brian Pickett
published 3
2.77
Michael Gee
usually #2 Doubles 100% · published 3
2.62
Laurie Holderness
usually #2 Doubles 100% · published 3
Brian Greenhill
published 2.5
2.10
Connie Dimitroff
published 2.5
1.91
Jennifer Bent
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.

Brian Kaulback + Jennifer Kaulback4450% games−2.8% 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.

Samantha Pickett
23W–18L career · no lines in 2022
2%94%4%
3.28
3.5
Jennifer Kaulback
125W–76L career · no lines in 2022
3%95%3%
3.25
3.5
Brian Kaulback
53W–67L career · 5 lines in 2022
12%87%<1%
3.15
Mike Spinak
5W–3L career · no lines in 2022
<1%80%20%
2.89
3
Beth Farrell
14W–14L career · no lines in 2022
<1%88%12%
2.84
3
Brian Pickett
13W–16L career · no lines in 2022
<1%89%11%
2.84
3
Michael Gee
59W–74L career · 3 lines in 2022
2%94%4%
2.77
3
Laurie Holderness
79W–109L career · 3 lines in 2022
17%83%<1%
2.62
2.5
Brian Greenhill
1W–0L career · type S · no lines in 2022
not enough data
2.5
Connie Dimitroff
2W–8L career · no lines in 2022
0%>99%<1%
2.10
Jennifer Bent
1W–9L career · no lines in 2022
0%>99%<1%
1.91

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.