Teams

NNM 3.5M Tanoan - Goodfellow

2022 USTA Adult 40 & Over League - NNM · 3.5 Men

10 players · average NTRP 3.38 / NORTHERN NEW MEXICO

No matches recorded for this roster in this league — it may be a placeholder registration, or the season may not have started.

View scouting list →
Schedule1 played
2022-04-02vs NNM 3.5M STC - HarrisonLost 13
W#1 DoublesTodd Schumacher / David Martinez vs Brian Nelson / Steven Talbot1-6, 7-5, 1-0
L#1 SinglesKris Winckler vs John Dunbar3-6, 3-6
L#2 DoublesDavid Graeber / David Krauss vs Bob Gruda / Gregory Smith3-6, 5-7
L#3 DoublesTri Pham / Lei Yang vs Norm Zwail / Jeff Abes3-6, 1-6
A tie can be incomplete. Tell us if someone is missing.
i
Grouped by tie — one fixture, several lines. A line shows only when a player on it is someone we have indexed, so an early-season tie for a newly-added team can look short. This also means the line count here will not match the header, which counts individual player appearances.

Flight standings for 3.5 Men have not been collected yet. Where we have them we show every team in the flight ranked, with this team highlighted. The crawler is still filling in older seasons and flights.

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 3.16 estimated across 6 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.

3.38
Matthew Gruber
published
3.35
Kris Winckler
usually #1 Singles 100% · published
3.28
David Graeber
usually #2 Doubles 100% · published 3.5
David Krauss
usually #2 Doubles 100% · published 3.5
David Martinez
published 3.5
3.24
Todd Schumacher
usually #1 Doubles 100% · published
2.99
Marvin Jimenez
published
2.74
Lei Yang
usually #3 Doubles 100% · published
Randy Perkins
published
Established pairs

Doubles pairs from this roster with three or more matches together anywhere — ordered by performance against what the rating gap predicted, not by record.

David Martinez + Matthew Gruber10260% games+12.0% vs expected
Todd Schumacher + Kris Winckler8751% games+4.9% vs expected
Matthew Gruber + Kris Winckler3448% games+4.3% vs expected
Lei Yang + Kris Winckler2348% games+2.2% vs expected
Curtis Goodfellow + Marvin Jimenez1733% games−9.6% vs expected
David Krauss + Lei Yang4351% gamesnot enough data
Lei Yang + Marvin Jimenez224 matchesnot enough data
David Krauss + Randy Perkins033 matchesnot enough data
Roster

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.

Matthew Gruber
87W–49L career · no lines in 2022
<1%81%18%
3.38
Kris Winckler
81W–74L career · 1 line in 2022
<1%87%13%
3.35
3.5
David Graeber
30W–45L career · type M · 1 line in 2022
2%94%4%
3.28
3.5
David Krauss
41W–45L career · 1 line in 2022
not enough data
3.5
David Martinez
23W–16L career · no lines in 2022
not enough data
Todd Schumacher
37W–63L career · 1 line in 2022
3%95%2%
3.24
Marvin Jimenez
26W–53L career · no lines in 2022
53%47%<1%
2.99
3
Curtis Goodfellow
22W–91L career · no lines in 2022
3%94%2%
2.74
Lei Yang
35W–35L career · 1 line in 2022
not enough data
Randy Perkins
14W–17L career · no lines in 2022
not enough data

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.