Symbol g
g is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →Published equation contexts
The mechanism is two coupled numbers, not one. A player’s rating R changes only from game outcomes; the rating deviation RD changes from game outcomes and from the simple passage of time — RD shrinks as a player competes and grows as a player sits idle, because “the more games played, the more information is learned about a player’s ability… as time passes, we become more uncertain about the player’s strength” [ 3 ] . The update equations, stated with Showdown’s own configured constants substituted in, are . where is a variance term built from the same g() and expected-score factors, \{0, 0.5, 1\} is the outcome of game j , and between rating…
g is part of the quantity the equation computes from the expression on the right.
Read this term in its guide →p occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.
Read this term in its guide →q occurs below the fraction bar. The quantity above the bar is divided by this expression; zero is excluded as a denominator.
Read this term in its guide →The complete quantity below the fraction bar; it must be nonzero for this division.
Read this term in its guide →The complete quantity below the fraction bar; it must be nonzero for this division.
Read this term in its guide →With a fixed numerator, increasing a nonzero denominator reduces the fraction. Its accuracy depends on the assumptions and range of use described in the article. Read it with the definitions, units, and assumptions supplied by the article.
A symbol can carry a different meaning in another article. Each occurrence keeps its own guide and term definitions.
Equation 1 · Pokémon Formal Measurement
This equation gives an approximation: it relates the quantities while allowing an approximation.
The mechanism is two coupled numbers, not one. A player’s rating R changes only from game outcomes; the rating deviation RD changes from game outcomes and from the simple passage of time — RD shrinks as a player competes and grows as a player sits idle, because “the more games played, the more information is learned about a player’s ability… as time passes, we become more uncertain about the player’s strength” [ 3 ] . The update equations, stated with Showdown’s own configured constants substituted in, are . where is a variance term built from the same g() and expected-score factors, \{0, 0.5, 1\} is the outcome of game j , and between rating…
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