Puente Alto CD vs Universidad de Concepcion basketball prediction

LNB
Puente Alto CD
vs
Universidad de Concepcion
Projected score
83-88
Home24%
Away76%

Winner probability. Settlement is the final score including overtime.

What is the prediction for Puente Alto CD vs Universidad de Concepcion?

Basketball: Puente Alto CD vs Universidad de Concepcion (LNB). Projected 83-88. Universidad de Concepcion is favoured at 76%. Our projected total is 171 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: Universidad de Concepcion by 5Our 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.
MarginPuente Alto CDUniversidad de Concepcion
Wins24%76%
By 6+15%59%
By 11+8%42%
By 16+4%27%
By 21+2%16%
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

Puente Alto CD

Season record
18-10
Points per game
84.1
Points allowed
79
Rest
30 d
  1. W80-67Universidad Catolica
  2. W85-72Colo Colo
  3. W104-79Espanol de Talca
  4. W84-73Espanol de Talca
  5. L75-88Leones Quilpue

Universidad de Concepcion

Season record
25-4
Points per game
96.2
Points allowed
76.8
Rest
31 d
  1. W103-80Espanol de Talca
  2. W97-76Leones Quilpue
  3. W79-54Universidad Catolica
  4. W93-72Colo Colo
  5. L74-86Leones Quilpue

Head to head

  1. Jul 31, 26Universidad de Concepcion97Puente Alto CD89
  2. Apr 26, 26Universidad de Concepcion92Puente Alto CD87
  3. Apr 6, 26Puente Alto CD77Universidad de Concepcion88
  4. Mar 13, 25Puente Alto CD82Universidad de Concepcion114
  5. Mar 6, 25Universidad de Concepcion104Puente Alto CD81

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