1. A computer-implemented method comprising: assigning, via at least one processor, to each alphabet letter a respective distribution weight according to a weighting rule of an online game, wherein each respective distribution weight reflects a frequency the corresponding alphabet letter, to which the respective distribution weight is assigned, is available for a game action in the online game of a game network server system; allocating based on respective assigned distribution weights, for availability in one or more game actions by a particular player, instances of each alphabet letter in a plurality of the alphabet letters; initiating display, to the particular player, of the allocated instances of each alphabet letter in a game interface of the online game; receiving a game action representing completion of a formation of a word, the word based on selection of a subset of the allocated instances of each alphabet letter; determining a losing player being the particular player having a point score in the online game lower than any further player within the online game, wherein each further player has a respective social network connection in a social network server system with the particular player; based on determining the losing player being the particular player: determining a number of remaining instances of the alphabet letters, available for distribution, and yet to be allocated to the losing player, in accordance to the respective distribution weights and the plurality of alphabet letters previously allocated to the losing player; determining the number of the remaining instances of the alphabet letters is less than or equal to a predetermined threshold; comparing a set of played words based on one or more words previously formed in one or more game action selected by the losing player in the online game; determining a prospective word formation, in a subset of the remaining instances of the alphabet letters, matches at least one of the words previously formed; adjusting the respective distribution weight of each letter in the subset of the remaining instances of the alphabet letters, the adjusted respective distribution weight being greater than a prior corresponding distribution weight.
5. The method of claim 1 , further comprising: analyzing profile factors included in a user profile of the player; determining a skill level of the player based on the profile factors; and adjusting the respective distribution weights of the alphabet letters based on the skill level of the player, wherein a profile factor is a game history and the adjusting the respective distribution weights includes increasing a distribution weight of high-point alphabet letters and decreasing a distribution weight of low-point alphabet letters when the skill level of the player is determined to be higher than a predetermined threshold, and wherein a high-point alphabet letter is relatively more difficult to use in word formations than a low-point alphabet letter.