Teams

PH TEAL

2024 ITA MIXED - DEN · MIXED 7.5 - ITA

9 players · average NTRP 3.50 / COLORADO

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 →
Schedule5 played
2024-08-18vs KC-CC GREENWon 20
W#1 DoublesJulie Picha / Chris Kelly vs Duncan Browne / Jane Jussila7-5, 6-3
W#2 DoublesKristine Kuettel / Alan Kuettel vs Joseph Rachwalski / Kim Rachwalski6-2, 4-6, 1-0
2024-08-17Won 10
W#2 DoublesKristine Kuettel / Alan Kuettel vs Jennifer Gonyea / John McGowan6-4, 2-6, 1-0
2024-08-09vs BM GREENLost 01
L#1 DoublesKristine Kuettel / Jeff Kesselman vs Arlene Cole / Scott Kilpatrick6-7, 0-6
2024-07-28vs LEBTC BLUEWon 20
W#1 DoublesKristine Kuettel / Jeff Kesselman vs Tammy Gould / Chris Gould6-4, 6-2
W#3 DoublesJulie Picha / Connor Picha vs Erin Maloney / Derek Powell6-3, 6-3
2024-07-14vs SS-LGT GREENLost 01
L#1 DoublesChris Kelly / Julie Picha vs Trevor David / Traci Heffron1-6, 2-6
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 MIXED 7.5 - ITA 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.

3.85
Tom Robinson
published
3.38
Kristine Kuettel
usually #1 Doubles 50%, also #2 Doubles 50% · published 3.5
3.32
Jeff Kesselman
usually #3 Doubles 40%, also #1 Doubles 40% · published 3.5
3.26
Alan Kuettel
published 3.5
3.18
Karen Boyd
published
3.14
Julie Picha
usually #1 Doubles 67%, also #3 Doubles 33% · published 3.5
3.03
Prairie Robinson
published
2.97
Kristin McDonald
published
Wynne Freeman
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.

Kristine Kuettel + Alan Kuettel6553% games−9.0% vs expected
Prairie Robinson + Tom Robinson314 matchesnot enough data
Kristin McDonald + Jeff Kesselman213 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.

Tom Robinson
17W–8L career · no lines in 2024
1%85%15%
3.85
3.5
Kristine Kuettel
90W–83L career · 4 lines in 2024
<1%80%19%
3.38
3.5
Jeff Kesselman
122W–69L career · 5 lines in 2024
1%89%10%
3.32
3.5
Alan Kuettel
14W–15L career · no lines in 2024
3%93%4%
3.26
Karen Boyd
14W–15L career · no lines in 2024
10%89%1%
3.18
3.5
Julie Picha
84W–96L career · 3 lines in 2024
16%84%1%
3.14
Prairie Robinson
10W–8L career · no lines in 2024
41%59%<1%
3.03
Kristin McDonald
10W–26L career · no lines in 2024
57%43%<1%
2.97
Wynne Freeman
7W–12L career · no lines in 2024
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.