Las Vegas Aces Women vs Seattle Storm Women basketball prediction

NBA Women
Correct score
91-83
Home79%
Away21%

Winner probability. Settlement is the final score including overtime.

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

Basketball: Las Vegas Aces Women vs Seattle Storm Women (NBA Women). We make it 91-83. Las Vegas Aces Women is favoured at 79%. Our predicted 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?

  • We make it Las Vegas Aces Women by 8Our predicted 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.
MarginLas Vegas Aces WomenSeattle Storm Women
Wins79%21%
By 6+64%12%
By 11+47%6%
By 16+31%3%
By 21+19%1%
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 predicts the score. Settlement is the final score including overtime.

Form and context

Las Vegas Aces Women

Season record
28-15
Points per game
90.9
Points allowed
86.8
Rest
2 d
  1. W114-77Seattle Storm Women
  2. W93-73Toronto Tempo Women
  3. W88-78Toronto Tempo Women
  4. W101-78Connecticut Sun Women
  5. L82-97Atlanta Dream Women

Seattle Storm Women

Season record
9-34
Points per game
82.7
Points allowed
88.4
Rest
2 d
  1. L77-114Las Vegas Aces Women
  2. L74-90Los Angeles Sparks Women
  3. W90-78Toronto Tempo Women
  4. L70-92Dallas Wings Women
  5. L80-82Chicago Sky Women

Head to head

  1. Sep 18, 26Seattle Storm Women77Las Vegas Aces Women114
  2. Jun 9, 26Las Vegas Aces Women101Seattle Storm Women91
  3. Sep 19, 25Las Vegas Aces Women74Seattle Storm Women73
  4. Sep 17, 25Seattle Storm Women86Las Vegas Aces Women83
  5. Sep 15, 25Las Vegas Aces Women102Seattle Storm Women77

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