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Simulation
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===Sports=== In sports, [[computer simulation]]s are often done to predict the outcome of events and the performance of individual sportspeople. They attempt to recreate the event through models built from statistics. The increase in technology has allowed anyone with knowledge of programming the ability to run simulations of their models. The simulations are built from a series of mathematical [[algorithms]], or models, and can vary with accuracy. Accuscore, which is licensed by companies such as [[ESPN]], is a well-known simulation program for all major [[sports]]. It offers a detailed analysis of games through simulated betting lines, projected point totals and overall probabilities. With the increased interest in [[fantasy sports]] simulation models that predict individual player performance have gained popularity. Companies like What If Sports and StatFox specialize in not only using their simulations for predicting game results but how well individual players will do as well. Many people use models to determine whom to start in their fantasy leagues. Another way simulations are helping the sports field is in the use of [[biomechanics]]. Models are derived and simulations are run from data received from sensors attached to athletes and video equipment. [[Sports biomechanics]] aided by simulation models answer questions regarding training techniques such as the effect of fatigue on throwing performance (height of throw) and biomechanical factors of the upper limbs (reactive strength index; hand contact time).<ref>{{cite journal |doi=10.1080/14763141.2011.592544 |pmid=21936288 |author=Harrison, Andrew J |title=Throwing and catching movements exhibit post-activation potentiation effects following fatigue |journal=Sports Biomechanics |volume=10 |issue=3 |pages=185β196 |year=2011 |s2cid=38009979 }}</ref> Computer simulations allow their users to take models which before were too complex to run, and give them answers. Simulations have proven to be some of the best insights into both play performance and team predictability.
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