Teams

Rudser/Yee2025

2025 Mixed 18 & Over Winter · 8.0 MX (FRI)

9 players · average NTRP 4.50 / NORTHERN

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Schedule6 played
2025-03-07vs Bartz Mix It Up 8.0 2025 WinterWon 10
W#3 DoublesKris Smitobol / Jennifer Christie vs Lucas Glynn / Rachel Lund6-1, 6-2
2025-02-28vs Ostlund 8.0 W25Lost 01
L#3 DoublesJohn Genz / Jennifer Christie vs Ryan Baisch / Rachael Nazy1-6, 4-6
2025-02-21vs Winter25EwenLost 01
L#2 DoublesJennifer Christie / Olivier Vankerk vs Katherine Martinez Carmona / Arjunmohan Mohan2-6, 2-6
2025-01-24vs HANSEN 2025 WINTER 8.0Lost 01
L#3 DoublesBrent Rudser / Jennifer Christie vs Savannah Olson / Tyler Johnson2-6, 5-7
2025-01-17Won 10
W#3 DoublesBrent Rudser / Jennifer Christie vs Jim Wagner / Suzanne Ross6-4, 6-4
2025-01-16vs Bartz Mix It Up 8.0 2025 WinterLost 01
L#3 DoublesStephen Huck / Jennifer Christie vs Alesia Pehl / Kyle Syverson6-2, 5-7, 0-1
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 8.0 MX (FRI) 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 3.79 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.

4.11
Alesha Baerenwald
published 4.5
3.98
Kris Smitobol
published
3.86
Julie Bowles
usually #3 Doubles 100% · published
3.84
KJ Lynch
usually #2 Doubles 50%, also #3 Doubles 50% · published
3.73
John Genz
published
3.73
Megan Murray-Bennett
usually #1 Doubles 67%, also #3 Doubles 33% · published
3.52
Jennifer Christie
usually #3 Doubles 55%, also #1 Doubles 27% · published
3.51
Shannon Yee
published
Stephen Huck
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.

KJ Lynch + Shannon Yee6154% games+1.5% vs expected
Megan Murray-Bennett + KJ Lynch4255% gamesnot enough data
Megan Murray-Bennett + John Genz134 matchesnot enough data
Julie Bowles + KJ Lynch404 matchesnot enough data
Megan Murray-Bennett + Kris Smitobol303 matchesnot enough data
Julie Bowles + Kris Smitobol213 matchesnot enough data
Julie Bowles + John Genz033 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.

4.5
Alesha Baerenwald
34W–29L career · no lines in 2025
20%80%<1%
4.11
Kris Smitobol
27W–4L career · no lines in 2025
<1%57%43%
3.98
Julie Bowles
56W–43L career · 1 line in 2025
<1%86%14%
3.86
KJ Lynch
31W–11L career · 2 lines in 2025
<1%89%11%
3.84
John Genz
62W–41L career · no lines in 2025
<1%4%96%
3.73
Megan Murray-Bennett
51W–34L career · 3 lines in 2025
4%94%2%
3.73
Jennifer Christie
72W–53L career · 11 lines in 2025
<1%44%56%
3.52
Shannon Yee
15W–26L career · no lines in 2025
46%54%<1%
3.51
Stephen Huck
7W–5L career · no lines in 2025
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.