Teams

WI Tri Delta M Fall Sngls MALT Martinez

2022 WI Other · WI Tri Level Delta Fall Singles Men

5 players · average NTRP / WISCONSIN

View scouting list →
Schedule5 played
2022-10-23Lost 01
L#1 SinglesOguz Alagoz vs Eric Czarnecki2-6, 2-6
2022-10-09Lost 01
L#2 SinglesOguz Alagoz vs Joe Leung3-6, 4-6
2022-09-29Lost 01
L#2 SinglesOguz Alagoz vs Jere Bauer III5-7, 5-7
2022-09-18Won 10
W#2 SinglesOguz Alagoz vs Andrew Thooft6-1, 6-0
2022-08-19Lost 01
L#3 SinglesOguz Alagoz vs Tarek Said0-6, 3-6
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 standings7 teams · WI Tri Level Delta Fall Singles Men
TeamWLInd. WInd. LSets lostGames lost
1WI Tri Delta M Fall Sngls MALT Isensee93251124266
2WI Tri Delta M Fall Sngls MALT Sager93241228276
3WI Tri Delta M Fall Sngls MALT O'Connor84241230293
4WI Tri Delta M Fall Sngls MALT Nicholas66152146351
5WI Tri Delta M Fall Sngls MALT Martinez57152148335
6WI Tri Delta M Fall Sngls MALT Montognese-Bergamini39102653363
7WI Tri Delta M Fall Sngls MALT Lakshminarayanan210132350364

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 3.32 estimated across 2 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.

3.34
Woo J Kim
usually #2 Singles 50%, also #2 Doubles 30% · published
3.30
Oguz Alagoz
usually #2 Singles 60%, also #1 Singles 20% · published
Alejandro Martinez
usually #2 Doubles 43%, also #2 Singles 36% · published
Kevin Fahy
usually #1 Singles 63%, also #3 Singles 38% · published
Nick Baxter
usually #3 Singles 50%, also #3 Doubles 25% · published
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.

Woo J Kim
60W–45L career · 10 lines in 2022
<1%88%12%
3.34
Oguz Alagoz
21W–26L career · 5 lines in 2022
1%92%7%
3.30
Alejandro Martinez
3W–11L career · 14 lines in 2022
not enough data
Kevin Fahy
47W–23L career · 8 lines in 2022
not enough data
Nick Baxter
12W–13L career · 12 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.