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1. Predictive NBA fantasy algorithms
Actual vs. Projected Fantasy Points, Top 50 daily fantasy performers
Example custom daily fantasy rankings for given NBA slate
Top performers that exceed projected fantasy points (>50% threshold, minimum 20 games over the past 4 months)
2. Historical player/team performance
Overall Team Efficiency, Regular Season 1991
Chicago Bulls' offensive stats (left), and Bulls' opponents' offensive stats (right) during 1991 - 1993 title run
Net efficiency (regular season, 1991), with Bulls' playoff opponents and NBA Finals teams
Research Projects
I have explored several data analyses projects in fantasy and professional sports, including:
1) Development of predictive NBA fantasy algorithms
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Individual player projections using total and advanced statistics from basketball-reference
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Automated lineup generation and optimization for major fantasy sports platforms (e.g., Underdog Fantasy)
2) Historical team and individual performance comparisons across different eras (e.g., settling the "GOAT" debate)
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Analysis of team metrics (net ratings, efficiencies, SOS, SRS, MOV)
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Comparisons of individual metrics (PER, VORP, BPM) across eras (LeBron vs. Jordan) and within eras (e.g., Jordan's regular season/playoff opponents' metrics)
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