Improving Player Recruitment Quality through Assessments and Predictive Analytics
Lumina Datamatics collaborated with a college football team that is affiliated with an American athletic association, to establish the relationship between hard-to-measure player attributes and scoring. Our aim was to determine the personality, motivation, and cognitive skills of a player that could lead to exciting breakthroughs in player recruiting, assessment, and selection at both the collegiate and professional levels.
The participants in this study included 144 male, football players competing at the collegiate level. Our data scientists predicted that players with higher visual-spatial intelligence have a greater likelihood of scoring than players with lower visual-spatial intelligence. Using our sophisticated adaptive testing and analytics platform, Smart Test Technology® we measured a variety of physical and mental player characteristics:
- The traditional physical characteristics of players, including their height, weight, wing span, hand span, physical strength, speed, agility, and balance
- Administered Cognitive, personality and mental characteristics, from reaction time to visual-spatial information, player motivation, and intelligence. High scores indicated higher visual-spatial intelligence, and low scores on the test indicted lower visual-spatial intelligence.
- At the end of the season, we collected player scoring data and segregated players into two categories, Scorers and Non-Scorers. Scorers were players who scored points during the season, while Non-Scorers were those who did not score any points
- We Compared the scoring data of individual Scorers and Non-Scorers with their physical as well as mental characteristics.
We found that Scorers were significantly faster than Non-Scorers as measured by their 40 yard dash times. In addition, we discovered that Scorers were significantly more agile than Non-Scorers based upon their 5-10-5 short shuttle times. The Scorers and Non-Scorers did not differ significantly in average height.
- High School Players 10%
- College Players (Scorers) 70%
- College Players (Non Scorers) 20%
In terms of mental player characteristics, we did find support for our hypothesis. We discovered that Scorers had significantly higher visual-spatial intelligence than Non-Scorers as measured by our intelligence test. Scorers were better able to:
- reason with non verbal information
- recognize visual patterns
- make accurate decisions
By leveraging our assessments and analytics expertise, coaches can now identify players during the recruitment process who are an ideal fit for their program.