Teams

SRC-Inland Northwest

2023 Mixed 18 & Over · 7.0

7 players · average NTRP 3.83 / EASTERN WASHINGTON

View scouting list →
Schedule3 played
2022-10-15vs YTC-FranklinWon 21
W#1 DoublesJoshua Cantu / Melanie Niceler vs Cole Rojan / Anne Rojan4-6, 6-4, 1-0
W#2 DoublesDavid Sarbacher / Kelli Geris vs Chris Cantrell / Michele Ladd6-0, 6-1
L#3 DoublesDuane Wilson / Michelle Gaberman vs Shawn Tweedy / Diane Cantrell0-6, 1-6
2022-10-15vs EW-PC-BrooksLost 12
W#1 DoublesDavid Sarbacher / Kelli Geris vs Aaron Jorgensen / Robin Jorgensen6-0, 4-6, 1-0
L#2 DoublesJoshua Cantu / Melanie Niceler vs Cory Brooks / Rhiannon Brooks2-6, 1-6
L#3 DoublesDuane Wilson / Kerry Steele vs Bryan Robison / Shannon Robison3-6, 0-6
2022-10-14vs IND-Sets MachineLost 03
L#1 DoublesDavid Sarbacher / Kelli Geris vs Michelle Anslinger / Danny Anslinger6-2, 5-7, 0-1
L#2 DoublesMichelle Gaberman / Joshua Cantu vs Scott Stephen / Marissa Guzman6-7, 3-6
L#3 DoublesDuane Wilson / Melanie Niceler vs Michele Beaman / Peter Joseph0-6, 1-6
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 standings5 teams · 7.0
TeamWLInd. WInd. LSets lostGames lost
1YTC-McLean3072772
2IND-Sets Machine21541084
3PC-Holle12361389
4SRC-Inland Northwest12361488
5YTC-Kickin Aces03271494

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.46 estimated across 5 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.

3.75
David Sarbacher
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.61
Melanie Niceler
usually #3 Doubles 33%, also #1 Doubles 33% · published
3.56
Kelli Geris
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.28
Kerry Steele
usually #2 Doubles 50%, also #3 Doubles 25% · published
Duane Wilson
usually #3 Doubles 100% · published 3.5
3.09
Michelle Gaberman
usually #2 Doubles 60%, also #3 Doubles 20% · published
Joshua Cantu
usually #2 Doubles 67%, also #1 Doubles 33% · 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.

Joshua Cantu + Melanie Niceler224 matchesnot enough data
Kelli Geris + David Sarbacher213 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
David Sarbacher
27W–21L career · 3 lines in 2023
3%95%3%
3.75
Melanie Niceler
54W–28L career · 3 lines in 2023
21%79%<1%
3.61
4
Kelli Geris
63W–35L career · 3 lines in 2023
32%68%<1%
3.56
Kerry Steele
66W–42L career · 4 lines in 2023
2%94%5%
3.28
3.5
Duane Wilson
7W–20L career · 3 lines in 2023
not enough data
Michelle Gaberman
49W–59L career · 5 lines in 2023
25%75%<1%
3.09
Joshua Cantu
17W–33L career · 3 lines in 2023
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.