Teams

MPRC-Alfonso/Daigneault

2026 Adult 18 & Over · 3.0 Men

11 players · average NTRP 3 · USTA/PACIFIC NW / NORTHERN OREGON

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Scouting

Roster averages 2.88 estimated across 11 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.

3.20
Yongping Liu
usually #2 Doubles 80%, also #3 Doubles 20% · published 3
3.16
John Bohls
usually #1 Doubles 40%, also #2 Doubles 30% · published 3
3.00
Reno Brown
usually #1 Doubles 50%, also #3 Doubles 38% · published 3
2.92
Aaryo Bakhtiar
usually #2 Singles 33%, also #1 Doubles 33% · published 3
2.85
Satoshi Endo
usually #2 Doubles 50%, also #1 Doubles 25% · published 3
2.84
Brian Craighill
usually #2 Doubles 67%, also #3 Doubles 33% · published 3
2.83
Andy Alfonso
usually #1 Doubles 38%, also #1 Singles 25% · published 3
2.78
Fayaz Shaikh
usually #3 Doubles 100% · published 3
2.74
Ryan Tilley
published 3
2.73
Steve Douglas
usually #2 Doubles 80%, also #3 Doubles 20% · published 3
2.67
Josh Sargent
usually #3 Doubles 67%, also #2 Doubles 33% · published 3
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.

3
Yongping Liu
68W–49L career
0%27%73%
3.20
3
John Bohls
30W–26L career
0%37%63%
3.16
3
Reno Brown
24W–17L career
0%81%19%
3.00
3
Aaryo Bakhtiar
21W–29L career
1%82%17%
2.92
3
Satoshi Endo
14W–13L career
0%97%3%
2.85
3
Brian Craighill
10W–16L career · type S
0%96%4%
2.84
3
Andy Alfonso
58W–59L career
0%99%1%
2.83
3
Fayaz Shaikh
9W–14L career
3%93%4%
2.78
3
Ryan Tilley
9W–20L career
9%87%5%
2.74
3
Steve Douglas
10W–23L career
2%98%0%
2.73
3
Josh Sargent
3W–9L career · type S
6%94%0%
2.67

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.