Teams

Hit and Run

2026 18&Over Mixed · 8.0

14 players · average NTRP 3.69 / WESTERN REGION

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →

Flight standings for 8.0 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 3.60 estimated across 14 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.

4.22
Mia Hayes
usually #1 Doubles 78%, also #3 Doubles 11% · published
3.78
Mizuho Okada
usually #2 Doubles 57%, also #1 Doubles 43% · published
3.76
Ryan Mirch
usually #1 Doubles 57%, also #2 Doubles 29% · published
3.75
Kuniko Okada
usually #3 Doubles 50%, also #2 Doubles 50% · published
3.71
Vivian Zayas
usually #1 Doubles 100% · published
3.67
Amanda Spottek
usually #3 Doubles 63%, also #1 Doubles 38% · published 4
3.64
Anna Norris
usually #1 Doubles 57%, also #3 Doubles 29% · published 4
3.62
Tracy Sladish
usually #2 Doubles 78%, also #3 Doubles 11% · published
3.58
Dustin Tang-Chung
usually #1 Doubles 67%, also #2 Doubles 33% · published 4
3.52
Rocco Edwards
usually #2 Doubles 40%, also #1 Doubles 40% · published 3.5
3.50
Isaac Weissmann
usually #3 Doubles 50%, also #1 Doubles 25% · published 3.5
3.40
Darren la Padula
usually #2 Doubles 50%, also #3 Doubles 38% · published 3.5
3.17
Erica Haray
usually #3 Doubles 44%, also #2 Doubles 33% · published 3.5
3.05
Bill Mirch
usually #1 Doubles 60%, also #2 Doubles 20% · published 3.5
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.

Mia Hayes + Rocco Edwards51041% games−5.8% vs expected
Bill Mirch + Erica Haray2549% gamesnot enough data
Mizuho Okada + Kuniko Okada3263% gamesnot enough data
Darren la Padula + Erica Haray224 matchesnot enough data
Erica Haray + Rocco Edwards224 matchesnot enough data
Amanda Spottek + Dustin Tang-Chung314 matchesnot enough data
Darren la Padula + Mia Hayes303 matchesnot enough data
Tracy Sladish + Dustin Tang-Chung033 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.

Mia Hayes
35W–39L career · 9 lines in 2026
5%94%2%
4.22
Mizuho Okada
47W–33L career · 7 lines in 2026
2%94%5%
3.78
Ryan Mirch
37W–36L career · 7 lines in 2026
2%94%3%
3.76
Kuniko Okada
35W–24L career · 2 lines in 2026
3%95%3%
3.75
Vivian Zayas
59W–15L career · 2 lines in 2026
5%93%1%
3.71
4
Amanda Spottek
103W–76L career · 8 lines in 2026
10%90%1%
3.67
4
Anna Norris
63W–43L career · 7 lines in 2026
14%86%<1%
3.64
Tracy Sladish
71W–95L career · 9 lines in 2026
17%83%<1%
3.62
4
Dustin Tang-Chung
48W–47L career · 3 lines in 2026
27%73%<1%
3.58
3.5
Rocco Edwards
81W–85L career · 5 lines in 2026
<1%43%57%
3.52
3.5
Isaac Weissmann
23W–10L career · 8 lines in 2026
<1%49%51%
3.50
3.5
Darren la Padula
52W–60L career · 8 lines in 2026
<1%79%21%
3.40
3.5
Erica Haray
83W–102L career · 9 lines in 2026
9%90%1%
3.17
3.5
Bill Mirch
39W–38L career · 5 lines in 2026
35%65%<1%
3.05

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.