Teams

Mixed Tri Perrin

AZ Slaughter Mixed Tri Level · AZ Slaughter

11 players · average NTRP 3.70 / CENTRAL ARIZONA

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 →
Flight standings6 teams · AZ Slaughter
TeamWLInd. WInd. LSets lostGames lost
1Mixed Tri Shinder4110512124
2Mixed Tri Taylor4110516137
3Mixed Tri Rhodehouse3210512110
4Mixed Tri Perrin236919146
5Mixed Tri Also Super Seriously Mixed2351023160
6Mixed Tri Super Seriously Mixed0541124167

Ordered by team wins, then losses, then sets lost — the order USTA uses to seed a flight. Individual wins are lines, not ties.

See the full flight, with every team’s record

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 3.61 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.

4.14
Cindy Blair
published 4.5
4.06
Tyler McDonald
published
3.86
Serena Unrein
published
3.73
Lisa Joseph
published
3.73
Kathy Dutridge
published
3.47
Denise Hamon
published 3.5
3.44
Alfredo Cobon
published 3.5
3.39
Forrest Hamon
published 3.5
3.32
Deana Perrin
published 3.5
2.99
Jeremy Powell
published
Oscar Lam
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.

Serena Unrein + Tyler McDonald342154% games+7.1% vs expected
Forrest Hamon + Denise Hamon342554% games−2.9% vs expected
Deana Perrin + Jeremy Powell82340% games−4.0% vs expected
Deana Perrin + Tyler McDonald3350% gamesnot enough data
Oscar Lam + Cindy Blair224 matchesnot enough data
Alfredo Cobon + Cindy Blair213 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.

4.5
Cindy Blair
100W–69L career · no lines in 2022
14%85%<1%
4.14
Tyler McDonald
120W–88L career · no lines in 2022
32%67%<1%
4.06
Serena Unrein
237W–175L career · no lines in 2022
<1%86%14%
3.86
Lisa Joseph
163W–172L career · no lines in 2022
4%94%2%
3.73
Kathy Dutridge
321W–180L career · no lines in 2022
4%94%2%
3.73
3.5
Denise Hamon
164W–115L career · no lines in 2022
<1%60%40%
3.47
3.5
Alfredo Cobon
75W–74L career · no lines in 2022
<1%67%33%
3.44
3.5
Forrest Hamon
139W–84L career · no lines in 2022
<1%80%20%
3.39
3.5
Deana Perrin
118W–206L career · no lines in 2022
1%91%8%
3.32
Jeremy Powell
119W–200L career · no lines in 2022
<1%54%46%
2.99
Oscar Lam
29W–8L 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.