Value Members

1.  final def !=(arg0: Any): Boolean

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2.  final def ##(): Int

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3.  final def ==(arg0: Any): Boolean

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4.  final def asInstanceOf[T0]: T0

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5.  def calculateNewRating(opponents: Seq[(Glicko2, Result)]): Glicko2
6.  def clone(): AnyRef

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7.  final def eq(arg0: AnyRef): Boolean

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8.  def estimatedImprovement(opponents: Seq[(Glicko2, Result)]): Double

   Computes the quantity ∆, the estimated improvement in rating by comparing the pre-period rating to the performance rating based only on game outcomes

9.  def estimatedVariance(opponents: Seq[(Glicko2, Result)]): Double

   Computes estimated variance of the player’s rating based on game outcomes

10.  def finalize(): Unit

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11.  final def getClass(): Class[_]

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12.  final def isInstanceOf[T0]: Boolean

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13.  final def ne(arg0: AnyRef): Boolean

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14.  final def notify(): Unit

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15.  final def notifyAll(): Unit

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16.  val rating: Double
17.  val ratingDeviation: Double
18.  def ratingDeviationForIdle(idleRatingPeriods: Int): Glicko2

    If a player does not compete during the rating period their rating and volatility parameters remain the same but the rating deviation increases.

    If a player does not compete during the rating period their rating and volatility parameters remain the same but the rating deviation increases.

    The Glicko-2 system works best when the number of games in a rating period is moderate to large, i.e. at least 10-15 games per player in a rating period.

    idleRatingPeriods

    number of rating periods a player has not competed

19.  val ratingVolatility: Double
20.  final def synchronized[T0](arg0: ⇒ T0): T0

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21.  def toGlicko1(): Glicko1
22.  final def wait(): Unit

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23.  final def wait(arg0: Long, arg1: Int): Unit

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24.  final def wait(arg0: Long): Unit

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