Teams

LOTC-Mohr

2025 Mixed 18 & Over · 8.0 Mixed

10 players · average NTRP 4.15 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 3.75 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.

Matt Sterling
usually #1 Doubles 60%, also #3 Doubles 20% · published 4.5
4.12
Cassia Carpio
usually #2 Doubles 53%, also #1 Doubles 33% · published 4.5
3.93
Leo Keppinger
usually #1 Doubles 80%, also #3 Doubles 20% · published 4.5
3.82
Halle Jackson
usually #1 Doubles 50%, also #3 Doubles 33% · published 4
3.77
TRIET NGUYEN
usually #2 Doubles 50%, also #3 Doubles 33% · published 4
3.68
Tony Moreno
usually #2 Doubles 60%, also #3 Doubles 30% · published 4
3.64
Alex Rand
usually #3 Doubles 100% · published 4
3.63
Sean Wei
usually #3 Doubles 75%, also #2 Doubles 25% · published 4
3.61
Kelly Mohr
published 4
3.58
Dongju Won
usually #2 Doubles 63%, also #1 Doubles 25% · published 4
Results8 ties
2024-12-07Split 11
L#1 DoublesHalle Jackson / Leo Keppinger vs Xiaolu Huang / Mingyang Liu6-4, 3-6, 1-0
W#2 DoublesTony Moreno / Cassia Carpio vs Hong Huynh / Xiaonan Tian7-5, 6-1
2024-11-23Lost 03
L#1 DoublesKelly Mohr / Matt Sterling vs Mark Chen / Anna Reutin6-2, 6-2
L#2 DoublesTony Moreno / Ren Toshié Miura vs Julie Nguyen / Atom Fjeldsted7-5, 6-2
L#3 DoublesDongju Won / TRIET NGUYEN vs Joe Mcroberts / Edwardeen Hilts3-6, 6-2, 1-0
2024-11-16Won 20
W#2 DoublesTony Moreno / Cassia Carpio vs Libby North / Keith Johnson6-4, 6-0
W#3 DoublesAlex Rand / SarahJoan Salvador vs Ty Hendrickson / Tara Hendrickson6-3, 6-1
2024-11-10Lost 02
L#1 DoublesCorey Buchanan / Dongju Won vs Tami McAra / Mike Zielinski6-4, 7-6
L#2 DoublesSean Wei / SarahJoan Salvador vs Kristie Leake / Shaun Anderson6-2, 6-2
2024-10-26Won 21
W#1 DoublesMatt Sterling / Cassia Carpio vs Mary Chennault / Wahyu Setyawan6-3, 6-1
W#2 DoublesDongju Won / TRIET NGUYEN vs Mike Mon / Stephanie Haas3-6, 6-4, 1-0
L#3 DoublesTony Moreno / Akemi Okusada vs Heather Watkins / Samuel Crawford7-5, 3-6, 1-0
2024-10-20Won 30
W#1 DoublesCassia Carpio / Leo Keppinger vs Tina Farrelly / Michael Jung6-1, 6-1
W#2 DoublesKelly Mohr / TRIET NGUYEN vs Ken Nichols / Carrie Putsch6-2, 6-2
W#3 DoublesSean Wei / Halle Jackson vs May Albano / Chris Collins4-6, 6-4, 1-0
2024-10-11Won 20
W#1 DoublesCassia Carpio / Leo Keppinger vs Kristen Fisher / Sam Bradshaw6-0, 6-2
W#3 DoublesAlex Rand / SarahJoan Salvador vs Duy Nguyen / Anh Nguyen7-5, 6-3
2024-10-06Won 21
W#1 DoublesDongju Won / Tony Moreno vs Mumukshu Patel / Jennifer Petersen2-6, 7-5, 1-0
W#2 DoublesCassia Carpio / Corey Buchanan vs Julia Bride / Asim Hafeez6-2, 7-5
L#3 DoublesAlex Rand / Ren Toshié Miura vs Jing Feng / Mihirkant Upadhyaya6-2, 7-5
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.
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.

4.5
Matt Sterling
10W–15L career
not enough data
4.5
Cassia Carpio
256W–91L career
2%98%0%
4.12
4.5
Leo Keppinger
58W–34L career
36%64%0%
3.93
4
Halle Jackson
123W–58L career
0%99%1%
3.82
4
TRIET NGUYEN
89W–37L career
0%99%0%
3.77
4
Tony Moreno
309W–153L career
2%98%0%
3.68
4
Alex Rand
56W–41L career
6%94%0%
3.64
4
Sean Wei
30W–16L career
19%79%2%
3.63
4
Kelly Mohr
115W–58L career
8%92%0%
3.61
4
Dongju Won
67W–50L career
16%84%0%
3.58

Three percentages are the year-end projection — chance of moving down, staying, moving up — and the number on the right is our estimated dynamic rating, which USTA never publishes. 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.