1FAC-BYER 40M 18&O AD TUES SEM F3
2022 SEM ADULT 18 & OVER NIGHT MEN · 4.0 MEN TUES PM SEM
15 players · average NTRP 3.95 / S.E. MICHIGAN
No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.
Schedule10 played
i
Flight standings21 teams · 4.0 MEN TUES PM SEM
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 15EAST-KEAN 40M 18&O AD TUES SEM F3 | 10 | 0 | 27 | 364 |
| 22DEER-ARENS 40M 18&O AD TUES SEM F4 | 8 | 0 | 17 | 235 |
| 31BRC-GALANT 40M 18&O AD TUES SEM F1 | 8 | 1 | 29 | 312 |
| 42FAC-MAHMOOD 40M 18&O AD TUES SEM F3 | 8 | 2 | 31 | 352 |
| 54RCAA-SHAW 40M 18&O AD TUES SEM F2 | 8 | 2 | 34 | 370 |
| 61AAREC-ALEKSEEV-sky 40M 18&O AD TUES SEM F2 | 7 | 3 | 47 | 413 |
| 74BEV-ROSEN 40M 18&O AD TUES SEM F4 | 6 | 2 | 20 | 249 |
| 83LIB-STPIERRE 40M 18&O AD TUES SEM F2 | 6 | 4 | 61 | 472 |
| 92DET-RICHARDSON 40M 18&O AD TUES SEM F1 | 5 | 4 | 58 | 409 |
| 101FAC-BYER 40M 18&O AD TUES SEM F3 | 5 | 5 | 60 | 467 |
| 116HV-CLARKE 40M 18&O AD TUES SEM F2 | 5 | 5 | 62 | 492 |
| 123MONY-SZYMANSKI 40M 18&O AD TUES SEM F3 | 4 | 6 | 62 | 453 |
| 133FAC-ROSS 40M 18&O AD TUES SEM F4 | 3 | 5 | 45 | 382 |
| 141LIFE-SINGH 40M 18&O AD TUES SEM F4 | 3 | 5 | 54 | 381 |
| 153RO-ALOUSI 40M 18&O AD TUES SEM F1 | 3 | 6 | 62 | 437 |
| 165VTC-inside-MOSELEY 40M 18&O AD TUES SEM F2 | 3 | 7 | 69 | 506 |
| 174TROY-FORCHE 40M 18&O AD TUES SEM F1 | 2 | 7 | 58 | 408 |
| 184CRT 4-MIZRA 40M 18&O AD TUES SEM F3 | 2 | 8 | 74 | 498 |
| 192CHIP-MICHAELS 40M 18&O AD TUES SEM F2 | 1 | 9 | 77 | 515 |
| 206EAST-MARLATT 40M 18&O AD TUES SEM F3 | 1 | 9 | 85 | 557 |
| 215WESS-EWALD 40M 18&O AD TUES SEM F4 | 0 | 8 | 79 | 473 |
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 3.57 estimated across 8 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.
| Jay Dalal + Alfredo Ospina | 8–3 | 61% games | +14.6% vs expected |
| Steven Millard + Alfredo Ospina | 6–2 | 61% games | +9.2% vs expected |
| Zack Ismail + Ari Byer | 3–3 | 55% games | +2.3% vs expected |
| Ari Byer + Steven Owens | 7–8 | 47% games | not enough data |
| Amir Kaki + Jay Dalal | 5–1 | 59% games | not enough data |
| Ari Byer + Jay Dalal | 3–3 | 52% games | not enough data |
| Steven Millard + Steven Owens | 3–2 | 53% games | not enough data |
| Gregg Famely + Alfredo Ospina | 4–1 | 68% 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.