4.0 KIW GOATS Tytler M18S
2023 SPRING Adult 18 & Over - CAZ · 4.0 Adult 18 & Over Men SP
15 players · average NTRP 4.00 / CENTRAL ARIZONA
No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.
Schedule13 played
i
Flight standings14 teams · 4.0 Adult 18 & Over Men SP
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1PHX/18Over/Ray/4.0M | 12 | 1 | 36 | 433 |
| 24.0 PAS Weekday Warriors M18S | 11 | 2 | 43 | 441 |
| 34.0 PHO Dirty Dozen M18S | 11 | 2 | 47 | 521 |
| 44.0 CTC East Valley M18S | 10 | 3 | 46 | 449 |
| 54.0 PTC Finishians M18S | 9 | 4 | 62 | 569 |
| 64.0 PTC Garcia M18S | 8 | 5 | 66 | 551 |
| 74.0 KIW GOATS Tytler M18S | 6 | 7 | 72 | 551 |
| 84.0 SRP LoveBirds1.0 M18S | 6 | 7 | 77 | 576 |
| 94.0 PTC VillaFilby M18S | 5 | 8 | 85 | 633 |
| 104.0 PTC Powell M18S | 5 | 8 | 89 | 622 |
| 114.0 PAS Murugan M18S | 3 | 10 | 92 | 665 |
| 124.0 PXC The Fellowship M18S | 3 | 10 | 93 | 638 |
| 134.0 ARR Bennett M18S | 1 | 12 | 97 | 659 |
| 144.0 PAS RecWarriors M18S | 1 | 12 | 111 | 713 |
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 3.72 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.
| Louis Robinson + Siva Bhaskar Kurapati | 5–5 | 47% games | −0.9% vs expected |
| Siva Bhaskar Kurapati + Ravi Naik | 4–5 | 48% games | −1.4% vs expected |
| Preston Rackow + Justin Rackow | 3–3 | 55% games | not enough data |
| PRANIL MANE + Siva Bhaskar Kurapati | 3–2 | 50% games | not enough data |
| Jeremy Sherette + Louis Robinson | 1–4 | 42% games | not enough data |
| Brennan Begay + Sandeep Mishra | 3–2 | 50% games | not enough data |
| Mauricio Leon Risemberg + Louis Robinson | 3–1 | 4 matches | not enough data |
| Nirmal Patel + Siva Bhaskar Kurapati | 3–1 | 4 matches | 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.