ST MARY 40MX9.0A
2026 MIXED 40&Over · 40&Over MX9.0
17 players · average NTRP 4.30 / NO. CALIFORNIA
No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.
Schedule9 played
i
Flight standings22 teams · 40&Over MX9.0
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1CUESTA TC 40MX9.0A | 7 | 2 | 22 | 225 |
| 2SUNNYVALE TC/SUNNYVALE MTC 40MX9.0A | 7 | 2 | 23 | 223 |
| 3JOHNSON RANCH 40MX9.0A | 7 | 2 | 24 | 246 |
| 4WASHOE TENNIS CLUB/WASHOE TC 40MX9.0A | 6 | 3 | 22 | 212 |
| 5MARIN TC 40MX9.0A | 6 | 3 | 24 | 205 |
| 6MEMORIAL-ALBANY 40MX9.0A | 6 | 3 | 26 | 244 |
| 7BAY CLUB PL 40MX9.0A | 6 | 3 | 29 | 246 |
| 8RAFAEL RC 40MX9.0A | 6 | 3 | 31 | 247 |
| 9GOLD RIVER RC 40MX9.0B | 5 | 3 | 21 | 196 |
| 10BAY CLUB SF TENNIS 40MX9.0A | 5 | 3 | 23 | 210 |
| 11LOS GATOS SR 40MX9.0A | 5 | 4 | 31 | 259 |
| 12ST MARY 40MX9.0A | 4 | 5 | 29 | 245 |
| 13ALMADEN SR 40MX9.0A | 4 | 6 | 33 | 267 |
| 14HARBOR PT 40MX9.0A | 4 | 6 | 41 | 293 |
| 15WALNUT CREEK RC/Walnut Creek TC 40MX9.0A | 3 | 5 | 33 | 264 |
| 16PLEASANTON 40MX9.0A | 3 | 6 | 34 | 259 |
| 17CUESTA TC 40MX9.0B | 3 | 6 | 39 | 284 |
| 18TAHOE DONNER 40MX9.0A | 3 | 6 | 40 | 280 |
| 19BAY CLUB COURTSIDE 40MX9.0A | 3 | 7 | 39 | 285 |
| 20ROHNERT PK TC/MAGNOLIA/M PK 40MX9.0A | 2 | 6 | 28 | 212 |
| 21UNIVERSITY CLUB PA 40MX9.0A | 2 | 6 | 36 | 260 |
| 22GOLD RIVER RC 40MX9.0A | 1 | 8 | 45 | 291 |
Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.
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 4.09 estimated across 17 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.
Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.
| Christopher Nichols + Kristen Foster | 4–1 | 52% games | −3.1% vs expected |
| Bryan Rodrigues + Jessica Kim | 4–2 | 57% games | not enough data |
| Stephanie Kasirajan + Timothy Rogers | 4–0 | 4 matches | not enough data |
| Timothy Rogers + Kristen Foster | 1–2 | 3 matches | not enough data |
| Timothy Rogers + Jessica Kim | 0–3 | 3 matches | not enough data |
| Garizaldy Caabay + Sarah Stewart | 3–0 | 3 matches | not enough data |
| Christopher Nichols + Noa Ramo-Larios | 2–1 | 3 matches | not enough data |
| Bryan Rodrigues + Chandra Thomas | 0–3 | 3 matches | not enough data |
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.
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.