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Mathematical models can be developed to aid humans in their decision-making processes because these models are able to find hidden relationships within numeric data. This research proposes the\n                    <jats:bold>H<\/jats:bold>\n                    euristic\n                    <jats:bold>E<\/jats:bold>\n                    valuation of\n                    <jats:bold>A<\/jats:bold>\n                    rtificially\n                    <jats:bold>R<\/jats:bold>\n                    eplaced\n                    <jats:bold>T<\/jats:bold>\n                    eammates (HEART) methodology, which is a mathematical model that utilizes machine learning and statistical-based methodologies to aid managers with their hiring decisions. The goal of HEART is to determine expected and theoretical contribution values for a potential candidate, which represents a player\u2019s ability to increase or decrease a team\u2019s forecasted winning percentage. In order to validate the usefulness of the methodology, the results of a 2007 case study were presented to subject matter experts. After analyzing the survey results statistically, five of the eight decision-making categories were found to be \u201cvery useful\u201d in terms of the information that the methodology provided.\n                  <\/jats:p>","DOI":"10.2478\/ijcss-2020-0005","type":"journal-article","created":{"date-parts":[[2020,7,3]],"date-time":"2020-07-03T06:11:30Z","timestamp":1593756690000},"page":"60-101","source":"Crossref","is-referenced-by-count":2,"title":["A Team-Compatibility Decision Support System for the National Football League"],"prefix":"10.2478","volume":"19","author":[{"suffix":"II","given":"W.A.","family":"Young","sequence":"first","affiliation":[{"name":"Department of Analytics and Information Systems, College of Business , Ohio University , Athens , OH 45701"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G.R.","family":"Weckman","sequence":"additional","affiliation":[{"name":"Department of Industrial and Systems Engineering, Russ College of Engineering and Technology , Ohio University , Athens , OH 45701"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2020,6,29]]},"reference":[{"key":"2026042808573918942_j_ijcss-2020-0005_ref_001_w2aab3b7b9b1b6b1ab1ab1Aa","unstructured":"Abrams, W., Barnes, J. 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