Teams

Tri-Slice

Adult Tri-Level League · Tri Level Womens 3.0-4.0 Wednesday

14 players · average NTRP 3.50 / PHILADELPHIA

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 standings20 teams · Tri Level Womens 3.0-4.0 Wednesday
TeamWLInd. WInd. LSets lostGames lost
1Three bees000000
2Netchix Tri000000
3KSGCC Triple Threat000000
4KSGCC Bottoms Up000000
5Ladies of the Dam 1000000
6Overbrook Aces000000
7Nic Tri000000
8Tri-Aces000000
9DVTA Triple Threat000000
10Idle Shots000000
11Cynwyd Court Couture000000
12Llanerch000000
13Philadelphia Cricket Red000000
14Tri-Slice000000
15Legacy Tri-fectas000000
16Frogettes000000
17Tri One Love000000
18HVCC Bulls000000
19Ladies of the Dam 2000000
20Philadelphia Cricket Blue000000

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.21 estimated across 13 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.

3.89
Jackie Zivitz
published
3.72
Beth Schonberger
published 4
3.60
Marcea Hummel
published
3.58
Jannie Lau
published 4
3.25
Anna Geiselhart
published 3.5
3.22
Michele Mckenna
published
3.21
Amanda Gottschalk
published 3.5
3.18
Steffany Kratchman
published
3.17
Chantel Castle
published 3.5
2.84
Dana Werner
published 3
2.76
Joni Caimi
published
2.71
Ellyn Dratch
published
2.59
Audrey Levin
published 3
Kim Morris
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.

Anna Geiselhart + Jackie Zivitz21243% games+10.4% vs expected
Michele Mckenna + Kim Morris39567% games+7.7% vs expected
Jackie Zivitz + Marcea Hummel6255% games+7.7% vs expected
Steffany Kratchman + Chantel Castle443253% games+4.5% vs expected
Audrey Levin + Joni Caimi8555% games+3.3% vs expected
Ellyn Dratch + Joni Caimi273150% games−2.5% vs expected
Audrey Levin + Dana Werner3253% gamesnot enough data
Ellyn Dratch + Kim Morris134 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.

Jackie Zivitz
73W–92L career · no lines in 2026
<1%79%21%
3.89
4
Beth Schonberger
74W–65L career · no lines in 2026
6%92%2%
3.72
Marcea Hummel
60W–50L career · no lines in 2026
24%76%<1%
3.60
4
Jannie Lau
167W–135L career · no lines in 2026
29%71%<1%
3.58
3.5
Anna Geiselhart
49W–55L career · no lines in 2026
4%93%4%
3.25
Michele Mckenna
75W–36L career · no lines in 2026
6%92%2%
3.22
3.5
Amanda Gottschalk
81W–47L career · no lines in 2026
6%92%2%
3.21
Steffany Kratchman
114W–88L career · no lines in 2026
10%89%1%
3.18
3.5
Chantel Castle
89W–62L career · no lines in 2026
12%87%1%
3.17
3
Dana Werner
22W–25L career · no lines in 2026
1%87%12%
2.84
Joni Caimi
84W–81L career · no lines in 2026
3%92%4%
2.76
Ellyn Dratch
44W–64L career · no lines in 2026
7%91%2%
2.71
3
Audrey Levin
59W–45L career · no lines in 2026
27%73%<1%
2.59
Kim Morris
129W–51L career · no lines in 2026
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.