WI Mid Tri M Doubles MALT Antony Peter
2025 WI Tri-Level · WI Mid Tri Men Doubles
12 players · average NTRP 4.00 / WISCONSIN
Schedule12 played
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Flight standings13 teams · WI Mid Tri Men Doubles
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1WI Mid Tri M Doubles MALT Putti | 12 | 0 | 23 | 271 |
| 2WI Mid Tri M Doubles MALT Antony Peter | 9 | 3 | 34 | 329 |
| 3WI Mid Tri M Doubles MALT Han | 8 | 4 | 36 | 302 |
| 4WI Mid Tri M Doubles MALT Akyuz | 8 | 4 | 38 | 310 |
| 5WI Mid Tri M Doubles MALT Brody | 7 | 5 | 34 | 304 |
| 6WI Mid Tri M Doubles MALT Kosobucki | 7 | 5 | 38 | 311 |
| 7WI Mid Tri M Doubles MALT Montognese-Bergamini | 6 | 6 | 41 | 333 |
| 8WI Mid Tri M Doubles MALT Leung | 5 | 7 | 50 | 346 |
| 9WI Mid Tri M Doubles MALT Kim | 4 | 8 | 44 | 331 |
| 10WI Mid Tri M Doubles MALT Dundas | 4 | 8 | 48 | 346 |
| 11WI Mid Tri M Doubles MALT Knutson | 4 | 8 | 56 | 386 |
| 12WI Mid Tri M Doubles MALT Miura | 2 | 10 | 50 | 357 |
| 13WI Mid Tri M Doubles MALT Isensee | 2 | 10 | 58 | 382 |
Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.
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 3.76 estimated across 10 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.
Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.
| Paul Isaac + Joseph Mercurio | 7–4 | 56% games | +7.4% vs expected |
| REMESH BALAKRISHNAN + Joseph Mercurio | 3–2 | 55% games | +3.1% vs expected |
| Jordan Raemisch + REMESH BALAKRISHNAN | 5–1 | 57% games | +2.2% vs expected |
| REMESH BALAKRISHNAN + Narman Antony Peter | 5–8 | 48% games | −4.8% vs expected |
| Sameer Mathur + Narman Antony Peter | 6–1 | 63% games | not enough data |
| Sameer Mathur + Dhinesh Ravi Krishna | 2–5 | 40% games | not enough data |
| Wesley Block + Brian Parkos | 4–1 | 52% games | not enough data |
| Zachary Kornbluth + Dhinesh Ravi Krishna | 3–2 | 51% games | not enough data |
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.
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.