Teams

Hills - Tampa Palms 7.0/Helme

2022 Hillsborough Mixed 40 & Over · 7.0 Mixed 40 and Over

14 players · average NTRP 3.50 / REGION_3

View scouting list →
Schedule6 played
2022-03-13vs Arbor Greene - B. HartWon 10
W#3 DoublesTu Phan / Elizabeth Dasilva vs Paul Gates / Caralyn Paul4-6, 6-3, 1-0
2022-03-06vs SVB - B. DunneWon 10
W#3 DoublesMichael Dasilva / Wenhong Li vs Sylvie Derksen / Jarrod Derksen6-1, 6-1
2022-02-27vs Buckhorn Double Shots - J. TorresWon 10
W#2 DoublesMichael Dasilva / Wenhong Li vs Joe Izzo / Teresa Manganello6-2, 6-3
2022-01-29Won 10
W#3 DoublesTu Phan / Elizabeth Dasilva vs Jay Jadeja / Caroline Brenan6-3, 5-7, 1-0
2022-01-23vs HG Emerald Aces - E. CollinsWon 10
W#2 DoublesTu Phan / Elizabeth Dasilva vs Jay Kandell / Melissa Kandell6-4, 6-1
2022-01-09vs SVB - B. DunneWon 20
W#2 DoublesTu Phan / Elizabeth Dasilva vs Ruben MacAya / TRACY TAGGERTY7-6, 6-0
W#3 DoublesMichael Dasilva / Wenhong Li vs Todd Vandeberg / Nafari Morris6-3, 3-6, 1-0
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 standings for 7.0 Mixed 40 and Over 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 3.35 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.

3.77
Albert Alhadeff
published 4
3.72
Richard Helme
published
3.62
Tu Phan
published
3.48
Fan Wang
published 3.5
3.40
Wenhong Li
published 3.5
3.35
Doug Angelone
published 3.5
3.32
Marla Adams
published
3.19
Ian Zhang
published 3.5
3.07
Xue Chan
published
3.00
Wei Xue
published
2.92
Elizabeth Dasilva
usually #2 Doubles 50%, also #3 Doubles 50% · published 3
Michael Dasilva
usually #3 Doubles 67%, also #2 Doubles 33% · published
QuynhTran Tonnu
published
Robert Miller
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.

Elizabeth Dasilva + Michael Dasilva8264% gamesnot enough data
Ian Zhang + Fan Wang404 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
Albert Alhadeff
7W–5L career · no lines in 2022
2%94%4%
3.77
Richard Helme
2W–15L career · no lines in 2022
98%2%<1%
3.72
Tu Phan
3W–5L career · no lines in 2022
18%82%<1%
3.62
3.5
Fan Wang
32W–10L career · no lines in 2022
<1%55%45%
3.48
3.5
Wenhong Li
116W–62L career · no lines in 2022
<1%78%22%
3.40
3.5
Doug Angelone
9W–3L career · no lines in 2022
<1%87%12%
3.35
Marla Adams
4W–5L career · no lines in 2022
1%91%8%
3.32
3.5
Ian Zhang
17W–7L career · no lines in 2022
7%92%1%
3.19
Xue Chan
7W–12L career · no lines in 2022
29%71%<1%
3.07
Wei Xue
22W–10L career · no lines in 2022
<1%52%48%
3.00
3
Elizabeth Dasilva
115W–108L career · 4 lines in 2022
<1%74%26%
2.92
Michael Dasilva
81W–66L career · 3 lines in 2022
not enough data
QuynhTran Tonnu
0W–1L career · no lines in 2022
not enough data
Robert Miller
1W–0L career · no lines in 2022
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.