Seattle Storm Women vs Las Vegas Aces Women basketball prediction

NBA Women
Projected score
85-89
Home31%
Away69%

Winner probability. Settlement is the final score including overtime.

What is the prediction for Seattle Storm Women vs Las Vegas Aces Women?

Basketball: Seattle Storm Women vs Las Vegas Aces Women (NBA Women). Projected 85-89. Las Vegas Aces Women is favoured at 69%. Our projected total is 174 points. Settlement is the final score including overtime. The model does not see injuries.

Model basketball-ridge-margin-v2Methodology

How big could the win be?

  • Our projection: Las Vegas Aces Women by 4Our projected margin clears every row above this line and falls short of the rows below it.
Show the numbers
Chance of winning by at least each margin, for both teams.
MarginSeattle Storm WomenLas Vegas Aces Women
Wins31%69%
By 6+20%52%
By 11+11%35%
By 16+6%21%
By 21+3%11%
Cumulative: each row is the chance of winning by at least that margin, so the series only falls. The model does not see injuries or rest news.

How many points will fall?

Probability of the combined score clearing each line, from the same model that projects the score. Settlement is the final score including overtime.

Form and context

Seattle Storm Women

Season record
9-33
Points per game
82.9
Points allowed
87.8
Rest
18 d
  1. L74-90Los Angeles Sparks Women
  2. W90-78Toronto Tempo Women
  3. L70-92Dallas Wings Women
  4. L80-82Chicago Sky Women
  5. L82-84Portland Women

Las Vegas Aces Women

Season record
27-15
Points per game
90.3
Points allowed
87
Rest
20 d
  1. W93-73Toronto Tempo Women
  2. W88-78Toronto Tempo Women
  3. W101-78Connecticut Sun Women
  4. L82-97Atlanta Dream Women
  5. L87-92Minnesota Lynx Women

Head to head

  1. Jun 9, 26Las Vegas Aces Women101Seattle Storm Women91
  2. Sep 19, 25Las Vegas Aces Women74Seattle Storm Women73
  3. Sep 17, 25Seattle Storm Women86Las Vegas Aces Women83
  4. Sep 15, 25Las Vegas Aces Women102Seattle Storm Women77
  5. Aug 9, 25Las Vegas Aces Women90Seattle Storm Women86

Computed from our own stored results. Rest and back-to-back are inputs of the model; injuries and lineups are not, and it never sees them.

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This is a new model with no long public track record. Methodology