Teams

Batkins 9.5

2022 Montgomery Combo Fall · Montgomery Combo Fall 9.5 Women

20 players · average NTRP 4.81 / MARYLAND

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 Montgomery Combo Fall 9.5 Women 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 4.42 estimated across 17 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.

4.79
Angel Batkins
published 5
4.72
Kaitlyn Heo
usually #1 Doubles 50%, also #2 Doubles 50% · published 5
4.68
Heather Herman
published 5
4.59
Casey Burdette
published 5
4.58
Erika Trost
usually #1 Doubles 71%, also #2 Doubles 14% · published 5
4.58
Christen Harsha
usually #1 Doubles 50%, also #3 Doubles 25% · published 5
4.49
Eve Helmer
usually #2 Doubles 50%, also #1 Doubles 25% · published 5
4.48
Martina Dragoytchev
published
4.46
Danielle Desfosses
usually #3 Doubles 50%, also #1 Doubles 50% · published 5
4.39
Kelsey Semrod
published
4.38
Jenna Hagood
published
4.30
Irene Chen
published 4.5
4.27
Ye Hu
published
Gianna Kang
published 4.5
4.23
Christine Becer
usually #1 Doubles 67%, also #2 Doubles 33% · published 4.5
4.22
Leila Lam
published
4.04
Alison Bailey
published 4.5
4.01
Trinh Banks
published
Tara Jakubik
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.

Erika Trost + Eve Helmer12265% games+3.1% vs expected
Kaitlyn Heo + Christen Harsha9080% gamesnot enough data
Christine Becer + Erika Trost4358% gamesnot enough data
Christen Harsha + Danielle Desfosses4156% gamesnot enough data
Kaitlyn Heo + Eve Helmer213 matchesnot enough data
Angel Batkins + Danielle Desfosses303 matchesnot enough data
Ye Hu + Tara Jakubik213 matchesnot enough data
Danielle Desfosses + Erika Trost123 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
Angel Batkins
13W–7L career · no lines in 2022
1%93%6%
4.79
5
Kaitlyn Heo
128W–63L career · 2 lines in 2022
5%94%1%
4.72
5
Heather Herman
14W–7L career · no lines in 2022
8%91%1%
4.68
5
Casey Burdette
7W–10L career · no lines in 2022
25%75%<1%
4.59
5
Erika Trost
383W–194L career · 7 lines in 2022
27%73%<1%
4.58
5
Christen Harsha
482W–135L career · 8 lines in 2022
28%72%<1%
4.58
5
Eve Helmer
276W–135L career · type D · 4 lines in 2022
53%47%<1%
4.49
Martina Dragoytchev
5W–1L career · no lines in 2022
<1%<1%>99%
4.48
5
Danielle Desfosses
131W–61L career · 2 lines in 2022
61%39%<1%
4.46
Kelsey Semrod
24W–9L career · no lines in 2022
<1%81%19%
4.39
Jenna Hagood
45W–9L career · no lines in 2022
<1%81%19%
4.38
4.5
Irene Chen
3W–0L career · no lines in 2022
1%92%7%
4.30
Ye Hu
31W–23L career · no lines in 2022
2%94%4%
4.27
4.5
Elizabeth Vermillion
12W–15L career · no lines in 2022
not enough data
4.5
Gianna Kang
16W–3L career · no lines in 2022
not enough data
4.5
Christine Becer
271W–177L career · 3 lines in 2022
4%94%2%
4.23
Leila Lam
21W–5L career · no lines in 2022
5%94%1%
4.22
4.5
Alison Bailey
23W–23L career · no lines in 2022
37%63%<1%
4.04
Trinh Banks
27W–8L career · no lines in 2022
48%52%<1%
4.01
Tara Jakubik
36W–19L 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.