MARCOTTE - Maryland Madness Winter
2026 Montgomery Doubles Winter Women · Montgomery Doubles Winter 3.5 Women
16 players · average NTRP 3.46 / MARYLAND
Schedule10 played
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Flight standings22 teams · Montgomery Doubles Winter 3.5 Women
| Team | W | L | Sets lost | Games lost |
|---|---|---|---|---|
| 1Henry - Norbeck Blue Belles | 9 | 1 | 18 | 195 |
| 2Henkin - The Day Dream Team | 8 | 2 | 24 | 226 |
| 3Pugh - Norbeck Yellowjackets | 8 | 2 | 26 | 239 |
| 4Bodi - Triple Fault | 7 | 2 | 26 | 223 |
| 5Farrington - Poaching Pairs DAY Winter | 7 | 3 | 23 | 238 |
| 6Gourovitch - Aspen Hill Volley Girls | 7 | 3 | 30 | 238 |
| 7Pohoryles - Overserved Lakewood | 6 | 4 | 26 | 208 |
| 8Korolkoff - Chicks With Sticks | 6 | 4 | 28 | 252 |
| 9King - Over Served | 6 | 4 | 29 | 253 |
| 10MARCOTTE - Maryland Madness Winter | 6 | 4 | 30 | 250 |
| 11Foster - Net Gain | 5 | 5 | 33 | 264 |
| 12Team Burns - Congressional | 4 | 6 | 34 | 255 |
| 13Spencer - Start with Love | 4 | 6 | 36 | 272 |
| 14Love All - Wofford | 3 | 7 | 39 | 285 |
| 15Rowan - Bethesda Ballers | 3 | 7 | 40 | 283 |
| 16andrews - Serve me a double | 3 | 7 | 44 | 300 |
| 17Swain - Net Chix | 3 | 7 | 45 | 298 |
| 18Gibian - McLean Racquettes | 3 | 7 | 46 | 315 |
| 19Borsh - Double Trouble | 2 | 7 | 42 | 292 |
| 20Pels - Edge plus | 2 | 8 | 44 | 304 |
| 21Brown - Congressional 3.5 | 2 | 8 | 44 | 309 |
| 22Maureen Smith - Manor | 1 | 9 | 53 | 313 |
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 3.23 estimated across 16 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.
| Anhvinh Wright + Allison Meringoff | 15–7 | 59% games | +2.2% vs expected |
| Elizabeth Marcotte + Allison Meringoff | 25–14 | 57% games | +1.3% vs expected |
| Elizabeth Marcotte + Joanne Good | 4–6 | 40% games | not enough data |
| Sara Magner + Anhvinh Wright | 5–1 | 61% games | not enough data |
| Elizabeth Marcotte + Bernadette Donofrio | 1–3 | 4 matches | not enough data |
| Diane Diner + Angela Carbone | 3–1 | 4 matches | not enough data |
| Sara Magner + Allison Meringoff | 3–1 | 4 matches | not enough data |
| Kristi Nault + Joanne Good | 3–0 | 3 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.