Teams

KTC Klank

2025 OH OV SUMMER Mixed 18&O Dayton · 2025 MXD 18&O 10.0 Dayton

19 players · average NTRP 4.60 / OHIO VALLEY

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 →
Schedule6 played
2025-07-18Lost 01
L#2 DoublesJason Merkle / Nicole Merkle vs Meghan Sorensen / Jeremy Flora1-6, 3-6
2025-06-27vs QRRC HawleyLost 01
L#1 DoublesDiana Ivanikhina / Wilbur Lin vs Andrew Knutson / Rheanna Morehart7-5, 3-6, 1-0
2025-06-21vs QRRC HawleyLost 03
L#1 DoublesDiana Ivanikhina / Jonathan Scherquist vs Andrew Knutson / Rheanna Morehart6-7, 6-7
L#2 DoublesMaria Cioffi / Wilbur Lin vs Lauren Hawley / Alexander Boardman6-2, 4-6, 0-1
L#3 DoublesSarika Reddy Sunki / Samuel Songer vs Donovan Christman / Arian McNeil1-6, 3-6
2025-06-13Split 11
L#1 DoublesMaria Cioffi / Wilbur Lin vs Lauren Hawley / Alexander Boardman6-7, 6-3, 0-1
W#2 DoublesDarrin Heinz / Sarika Reddy Sunki vs Meghan Sorensen / David Peyton6-2, 6-1
2025-05-30Lost 02
L#1 DoublesNicole Ehme / Richard Heilman vs Audree Mcnichols / Reid Wynkoop2-6, 3-6
L#3 DoublesSamuel Songer / Kathe Mullins vs Taylor Pritt / Donovan Christman1-6, 3-6
2025-05-16Split 11
W#2 DoublesAnna Albi / Darrin Heinz vs Lauren Hawley / Alexander Boardman5-7, 6-3, 1-0
L#3 DoublesNicole Merkle / Jason Merkle vs Taylor Pritt / Michael Hall6-3, 2-6, 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 standings2 teams · 2025 MXD 18&O 10.0 Dayton
TeamWLInd. WInd. LSets lostGames lost
1QRRC Hawley5114413142
2KTC Klank1541429189

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 4.18 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.

Diana Ivanikhina
usually #1 Doubles 75%, also #2 Doubles 25% · published 5
4.44
Darrin Heinz
usually #2 Doubles 100% · published 4.5
4.39
Maria Cioffi
usually #2 Doubles 50%, also #1 Doubles 50% · published
4.36
Nicole Merkle
usually #3 Doubles 50%, also #2 Doubles 50% · published
4.27
Wilbur Lin
usually #1 Doubles 67%, also #2 Doubles 33% · published
4.20
Sarika Reddy Sunki
usually #2 Doubles 80%, also #3 Doubles 20% · published
4.17
Philip Brumbaugh
usually #1 Doubles 80%, also #2 Doubles 20% · published
4.13
Jonathan Scherquist
usually #1 Doubles 100% · published
4.11
Jason Merkle
usually #3 Doubles 50%, also #2 Doubles 50% · published 4.5
4.11
Conrad Klank
usually #2 Doubles 60%, also #3 Doubles 20% · published 4.5
4.05
Samuel Songer
usually #3 Doubles 100% · published
4.04
Nicole Ehme
usually #1 Doubles 100% · published
4.01
Anna Albi
usually #2 Doubles 67%, also #1 Doubles 33% · published 4.5
4.00
Namchi Le
usually #2 Doubles 40%, also #3 Doubles 40% · published
Elliot Galbraith
usually #3 Doubles 100% · published
Kathe Mullins
usually #3 Doubles 60%, also #1 Doubles 20% · published
Noah Ehret
usually #2 Doubles 40%, also #3 Doubles 40% · published
Richard Heilman
usually #1 Doubles 100% · published
Taylor Schaaf
usually #3 Doubles 67%, also #1 Doubles 33% · 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.

Nicole Merkle + Jason Merkle2450% games+0.8% vs expected
Philip Brumbaugh + Diana Ivanikhina6252% gamesnot enough data
Conrad Klank + Sarika Reddy Sunki2345% gamesnot enough data
Maria Cioffi + Jason Merkle314 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
Diana Ivanikhina
8W–7L career · type M · 8 lines in 2025
not enough data
4.5
Darrin Heinz
66W–29L career · 2 lines in 2025
<1%68%32%
4.44
Maria Cioffi
13W–4L career · 2 lines in 2025
<1%<1%>99%
4.39
Nicole Merkle
98W–31L career · 2 lines in 2025
1%84%16%
4.36
Wilbur Lin
44W–25L career · 3 lines in 2025
3%92%5%
4.27
Sarika Reddy Sunki
40W–24L career · 5 lines in 2025
7%91%2%
4.20
Philip Brumbaugh
17W–23L career · 5 lines in 2025
11%88%1%
4.17
Jonathan Scherquist
40W–46L career · 1 line in 2025
18%82%<1%
4.13
4.5
Jason Merkle
196W–91L career · 2 lines in 2025
21%79%<1%
4.11
4.5
Conrad Klank
38W–52L career · 5 lines in 2025
22%77%<1%
4.11
Samuel Songer
12W–27L career · 2 lines in 2025
36%64%<1%
4.05
Nicole Ehme
26W–22L career · 1 line in 2025
<1%38%62%
4.04
4.5
Anna Albi
25W–12L career · 3 lines in 2025
47%53%<1%
4.01
Namchi Le
44W–44L career · 5 lines in 2025
49%51%<1%
4.00
Elliot Galbraith
1W–2L career · 2 lines in 2025
not enough data
Kathe Mullins
194W–75L career · 5 lines in 2025
not enough data
Noah Ehret
1W–5L career · 5 lines in 2025
not enough data
Richard Heilman
43W–64L career · 1 line in 2025
not enough data
Taylor Schaaf
17W–11L career · 3 lines in 2025
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.