Teams

SFV - Internetters

2022 Mixed 18 & Over - SFV · SFV 18 & Over - 6.0 MxD

12 players · average NTRP 3.57 / SO.CALIFORNIA

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 →
Schedule7 played
L#1 DoublesDan Lula / Lana Mril vs Jaron McDonnel / Lauren Pond4-6, 1-6
L#2 DoublesMelissa Jansson / Alex Sugarman vs TANIA JANICEK / Mel Matibag6-4, 0-6, 0-1
2022-03-26vs SFV - Nikki's Tennis CrewWon 10
W#1 DoublesDaniel Peterson-Beliakoff / Larissa Kazantsev vs Mike Shackleton / Melissa Byer6-2, 6-1
2022-03-12vs SFV - Nikki's Tennis CrewWon 10
W#2 DoublesDan Lula / Lana Mril vs Mustapha Aitouaskri / Rachel Bernstein6-0, 3-2
2022-02-26vs SFV - Nikki's Tennis CrewWon 10
W#2 DoublesGeorge Cojocaru / Melissa Jansson vs Mike Shackleton / Meredith Salamunovich6-2, 6-4
W#3 DoublesMelissa Jansson / Alex Sugarman vs Lina Gomez / Mel Matibag6-2, 7-5
2022-02-05vs SFV - Nikki's Tennis CrewWon 10
W#1 DoublesMelissa Jansson / Roman Kuperman vs Meredith Salamunovich / Andrew Salamunovich6-2, 6-0
L#2 DoublesDan Lula / Lana Mril vs Hanan Asfoury / Mel Matibag4-6, 2-6
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 SFV 18 & Over - 6.0 MxD 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 3.28 estimated across 8 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.

3.83
Summer Williamson
published
3.83
3.82
Sara Heum
published 4
Holly Culhane
published 3.5
3.24
Christy Weissman
published 3.5
3.21
Dan Lula
usually #2 Doubles 67%, also #1 Doubles 33% · published 3.5
2.84
Melissa Jansson
usually #2 Doubles 50%, also #1 Doubles 25% · published 3
2.83
Larissa Kazantsev
usually #1 Doubles 100% · published
2.60
Jenny Killgore
published
Nazar Makadsi
published
Roman Kuperman
published
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.

Summer Williamson
49W–27L career · no lines in 2022
1%90%10%
3.83
4
Cecilia Mikaelian
6W–2L career · no lines in 2022
1%90%10%
3.83
4
Sara Heum
122W–70L career · no lines in 2022
1%91%8%
3.82
3.5
Daniel Peterson-Beliakoff
0W–2L career · no lines in 2022
not enough data
3.5
Holly Culhane
1W–0L career · no lines in 2022
not enough data
3.5
Christy Weissman
8W–6L career · no lines in 2022
3%95%2%
3.24
3.5
Dan Lula
138W–81L career · 3 lines in 2022
5%93%1%
3.21
3
Melissa Jansson
45W–36L career · 4 lines in 2022
<1%89%10%
2.84
Larissa Kazantsev
74W–65L career · 1 line in 2022
1%90%9%
2.83
Jenny Killgore
2W–7L career · no lines in 2022
21%78%<1%
2.60
Nazar Makadsi
4W–7L career · no lines in 2022
not enough data
Roman Kuperman
5W–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.