Teams

SD 9.0 Peninsula TC/ Gallego

2022 Mixed Doubles 40 & Over Summer - SD · SD

13 players · average NTRP 4.50 / SAN DIEGO

View scouting list →
Schedule3 played
2022-09-05Won 10
W#3 DoublesAllison Sterett / John Carter vs N/A6-0, 6-0
2022-08-13Won 10
W#1 DoublesJohn Carter / Allison Sterett vs David de Sure / Stepanka Hastings7-5, 2-1
L#3 DoublesAllison Sterett / John Carter vs Beth Sharratt / Alfredo Garcia4-6, 4-6
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 SD 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 4.25 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.

Darice Carnaje
published 5
4.58
Priscilla Martinez
published
4.42
Allison Sterett
usually #3 Doubles 67%, also #1 Doubles 33% · published 4.5
4.40
Tiffany Kellogg
usually #1 Doubles 43%, also #3 Doubles 29% · published 4.5
4.36
Carla Zarbo
published 4.5
4.35
James Kellogg
published 4.5
4.24
Andrew MacFarlane
published 4.5
4.14
Robyn K F Leong
published
3.96
Peter Yuen
published
3.81
Sue Sprague
published 4
Jeff Ray
published
Jonathan Coyle
published
Todd Sprague
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.

Sue Sprague + Todd Sprague4449% gamesnot enough data
Tiffany Kellogg + James Kellogg303 matchesnot enough data
Andrew MacFarlane + Allison Sterett303 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.

5
Darice Carnaje
2W–1L career · no lines in 2022
not enough data
Priscilla Martinez
4W–9L career · no lines in 2022
26%74%<1%
4.58
4.5
Allison Sterett
123W–62L career · 3 lines in 2022
<1%73%27%
4.42
4.5
Tiffany Kellogg
163W–91L career · 7 lines in 2022
<1%78%22%
4.40
4.5
Carla Zarbo
9W–4L career · no lines in 2022
<1%85%15%
4.36
4.5
James Kellogg
13W–0L career · no lines in 2022
<1%87%13%
4.35
4.5
Andrew MacFarlane
13W–3L career · no lines in 2022
4%94%2%
4.24
Robyn K F Leong
11W–15L career · no lines in 2022
13%86%<1%
4.14
Peter Yuen
4W–3L career · no lines in 2022
<1%62%38%
3.96
4
Sue Sprague
28W–35L career · no lines in 2022
1%92%8%
3.81
Jeff Ray
20W–2L career · no lines in 2022
not enough data
Jonathan Coyle
8W–3L career · no lines in 2022
not enough data
Todd Sprague
3W–2L 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.