Teams

KS-Chama

2025 KS 18 & Over Adult Indoor League · 5.0 Men

7 players · average NTRP 5.00 / KANSAS

View scouting list →
Schedule5 played
2025-04-14vs BeckerWon 20
W#1 DoublesKaey-Den Tan / Vinicius Rodriguez vs Lance Henne / Matt Becker6-3, 6-2
W#2 DoublesBruno Suiama / Zach Loomis vs Steven Wegner / Dennis Matzen6-7, 6-3, 1-0
2025-03-31vs BeckerWon 20
W#1 DoublesZach Loomis / Bruno Suiama vs Matt Becker / Steven Wegner7-6, 7-6
W#2 DoublesVinicius Rodriguez / Frank Reyes vs Lance Henne / Dennis Matzen2-6, 6-2, 1-0
2025-03-23vs BeckerWon 30
W#1 DoublesMickel Alexander / Mitchel Whitmer vs Dennis Matzen / Matt Becker3-6, 6-3, 1-0
W#1 SinglesVinicius Rodriguez vs Steven Wegner6-2, 6-3
W#2 DoublesFrank Reyes / Zach Loomis vs Brandon Hadwiger / Lance Henne6-2, 6-4
2025-03-16vs BeckerWon 20
W#1 DoublesVinicius Rodriguez / Mickel Alexander vs Dennis Matzen / Matt Becker4-6, 6-3, 1-0
W#1 SinglesBruno Suiama vs Steven Wegner6-2, 6-2
2025-03-10vs BeckerWon 30
W#1 DoublesBruno Suiama / Kaey-Den Tan vs Steven Wegner / Lance Henne6-0, 6-1
W#1 SinglesVinicius Rodriguez vs Matt Becker6-7, 6-1, 1-0
W#2 DoublesMitchel Whitmer / Frank Reyes vs Brandon Hadwiger / Dennis Matzen3-6, 7-5, 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 · 5.0 Men
TeamWLInd. WInd. LSets lostGames lost
1KS-Chama5012312124
2Becker0501530177

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 4.24 estimated across 5 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.

Bruno Suiama
usually #1 Doubles 50%, also #1 Singles 25% · published 5
4.65
Mickel Alexander
usually #1 Doubles 100% · published
4.45
Vinicius Rodriguez
usually #1 Doubles 40%, also #1 Singles 40% · published
4.10
Zach Loomis
usually #2 Doubles 67%, also #1 Doubles 33% · published
4.02
Mitchel Whitmer
usually #1 Doubles 50%, also #2 Doubles 50% · published
3.97
Frank Reyes
usually #2 Doubles 100% · published
Kaey-Den Tan
usually #1 Doubles 100% · 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.

Mitchel Whitmer + Frank Reyes4154% gamesnot enough data
Bruno Suiama + Kaey-Den Tan404 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
Bruno Suiama
24W–0L career · 4 lines in 2025
not enough data
Mickel Alexander
6W–0L career · 2 lines in 2025
no projection at this level
4.65
Vinicius Rodriguez
19W–6L career · 5 lines in 2025
no projection at this level
4.45
Zach Loomis
47W–19L career · 3 lines in 2025
23%76%<1%
4.10
Mitchel Whitmer
41W–28L career · 2 lines in 2025
44%56%<1%
4.02
Frank Reyes
21W–14L career · 3 lines in 2025
57%43%<1%
3.97
Kaey-Den Tan
14W–3L career · 2 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.