4BLOOM-WILLIAMS 75 DAY WOMEN SEM F1
2022 SEM FALL COMBO DOUBLES · WOMEN 75 COMBO SEM
18 players · average NTRP 3.62 / 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.
Schedule8 played
i
Flight standings23 teams · WOMEN 75 COMBO SEM
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 14HV-SHIELDS 75 W/E WOMEN SEM F2 | 8 | 2 | 27 | 239 |
| 25SCWB-FARRELL 75 W/E WOMEN SEM F4 | 7 | 1 | 15 | 160 |
| 33LTF-BARRY 75 DAY WOMEN SEM F1 | 7 | 1 | 17 | 155 |
| 44PEACH-DEGUZMAN 75 W/E WOMEN SEM F3 | 7 | 1 | 19 | 183 |
| 51LIB-SAULD 75 W/E WOMEN SEM F2 | 7 | 3 | 21 | 237 |
| 62FAC-JAM 75 W/E WOMEN SEM F5 | 6 | 3 | 24 | 216 |
| 71BEV-STRACHAN 75 W/E WOMEN SEM F5 | 6 | 3 | 32 | 266 |
| 81COURT 4-BRADY 75 W/E WOMEN SEM F3 | 5 | 3 | 21 | 189 |
| 92DEER-CARLSON 75 W/E WOMEN SEM F4 | 5 | 3 | 29 | 223 |
| 102LIB-MARLEY 75 W/E WOMEN SEM F2 | 5 | 5 | 31 | 260 |
| 112DEER-SUTKIEWICZ 75 DAY WOMEN SEM F1 | 4 | 4 | 22 | 191 |
| 123LTF-NAJAR 75 W/E WOMEN SEM F5 | 4 | 5 | 34 | 252 |
| 136TRAV-WHITELOCKE 75 W/E WOMEN SEM F2 | 4 | 6 | 44 | 303 |
| 141BEV-FLYNN 75 W/E WOMEN SEM F4 | 3 | 5 | 29 | 224 |
| 154BLOOM-BARLOW 75 W/E WOMEN SEM F4 | 3 | 5 | 35 | 233 |
| 163CHIP-SHAW 75 W/E WOMEN SEM F2 | 3 | 7 | 41 | 308 |
| 175VTC-CORTINA 75 W/E WOMEN SEM F2 | 3 | 7 | 47 | 332 |
| 186LTF-MARVEL NELSON 75 W/E WOMEN SEM F4 | 2 | 6 | 36 | 253 |
| 192EAST-ZAMPARDO 75 W/E WOMEN SEM F3 | 2 | 6 | 37 | 239 |
| 204TROY-LIVINGSTON 75 W/E WOMEN SEM F5 | 2 | 7 | 39 | 283 |
| 213PEACH-PARROTT 75 W/E WOMEN SEM F3 | 1 | 5 | 24 | 173 |
| 224BLOOM-WILLIAMS 75 DAY WOMEN SEM F1 | 1 | 7 | 45 | 279 |
| 23drop 9.6 0P 756087 SCWB-SHARMA 75 W/E WOMEN | 0 | 0 | 0 | 0 |
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 3.29 estimated across 12 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.
| Connie Demkowicz + Meilai Gabe | 5–1 | 59% games | +10.3% vs expected |
| Connie Demkowicz + Jean Bandy | 9–3 | 60% games | +7.7% vs expected |
| Terri Newman Giampino + Laurel Kalkanis | 9–10 | 52% games | +6.4% vs expected |
| Jean Bandy + Suzanne Gendelman | 3–3 | 46% games | +1.4% vs expected |
| Peggy Maley + Terri Newman Giampino | 14–7 | 56% games | −0.6% vs expected |
| Karen Read + Mary Williams | 10–10 | 51% games | −0.9% vs expected |
| Connie Demkowicz + Suzanne Gendelman | 5–8 | 46% games | −4.6% vs expected |
| Murry Pierce + Laura Burke | 12–11 | 48% games | −5.5% vs expected |
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.