Teams

The Wild Cards 8.0 (Free Agents)

2026 Ekolu League · 8.0

13 players · average NTRP 3.69 / OAHU

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 standings12 teams · 8.0
TeamWLInd. WInd. LSets lostGames lost
1No can win000000
2Baronas Baddies000000
3Waialae Iki 5000000
4Disaster INC green000000
5Disaster INC blue000000
6HIT SQUAD000000
7OCeans Ekolu000000
8KPR Ekolu000000
9The Wild Cards 8.0 (Free Agents)000000
10Litos Modelos000000
11Jello Shots000000
12KRC Crazy Aces000000

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 3.40 estimated across 9 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.

Jacob Peters
published 4
3.73
Helmut Kratky
published 4
3.66
Misato Chotoku
published
3.60
Joyce Kwok
published 4
3.51
Alpana Khairom
published 3.5
3.32
Jony Conching
published 3.5
3.28
Mary Horn
published
3.19
Karen Lar Rieu
published 3.5
3.18
Hannah Bautista
published 3.5
3.16
Honglong Li
published 3.5
Joon Kim
published
Kai Yoshida
published
Pete Chun
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.

Alpana Khairom + Hannah Bautista3455% games+7.2% vs expected
Jony Conching + Mary Horn42035% games−7.5% vs expected
Mary Horn + Joyce Kwok123 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.

4
Jacob Peters
0W–1L career · type S · no lines in 2026
not enough data
4
Helmut Kratky
16W–21L career · no lines in 2026
4%94%2%
3.73
Misato Chotoku
17W–5L career · no lines in 2026
<1%11%89%
3.66
4
Joyce Kwok
44W–98L career · no lines in 2026
23%77%<1%
3.60
3.5
Alpana Khairom
60W–30L career · no lines in 2026
<1%47%53%
3.51
3.5
Jony Conching
46W–159L career · no lines in 2026
1%91%8%
3.32
Mary Horn
18W–83L career · no lines in 2026
2%94%5%
3.28
3.5
Karen Lar Rieu
69W–124L career · no lines in 2026
7%92%1%
3.19
3.5
Hannah Bautista
37W–57L career · no lines in 2026
8%91%1%
3.18
3.5
Honglong Li
3W–17L career · type S · no lines in 2026
11%88%<1%
3.16
Joon Kim
5W–1L career · no lines in 2026
not enough data
Kai Yoshida
1W–1L career · no lines in 2026
not enough data
Pete Chun
6W–19L 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.