From the Book - 2nd edition /
1: Baseball's Pythagorean Theorem
2: Who had a better year, Mike Trout or Kris Bryant?
3: Evaluating hitters by linear weights
4: Evaluating hitters by Monte Carlo simulation
5: Evaluating baseball pitchers, forecasting future pitcher performance, and an introduction to Statcast
6: Baseball decision-making
8: Win probability added (WPA)
9: Wins above replacement (WAR) and player salaries
11: Streakiness in sports
13: Was Tony Perez a great clutch hitter?
14: Pitch count, pitcher effectiveness, and PITCHf/x data
15: Would Ted Williams hit .406 today?
16: Was Joe DiMaggio's 56-game hitting streak the greatest sports record of all time?
17: Projecting major league performance
18: What makes NFL teams win?
19: Who's better: Brady or Rodgers?
20: Football states and values
21: Football decision-making 101
22: If passing is better than running, why don't teams always pass?
23: Should we go for a one-point or two-point conversion?
24: To give up the ball is better than to receive : the case of college football overtime
25: Has the NFL finally gotten the OT rules right?
26: How valuable are NFL draft picks?
27: Player tracking data in the NFL
28: Basketball statistics 101 : the four-factor model
29: Linear weights for evaluating NBA players
30: Adjusted +/- player ratings
31: ESPN RPM and FiveThirtyEight RAPTOR ratings
33: Analyzing team and individual matchups
34: NBA salaries and the value of a draft pick
35: Are NBA officials prejudiced?
36: Pick-n-rolling to win, the death of post ups and isos
37: SportVU, Second Spectrum, and the spatial basketball data revolution
38: In-game basketball decision making
43: Analytics and cyber athletes : the era of e-sports
45: Freakonomics meets the bookmaker
47: From point ratings to probabilities
48: The NCAA evaluation tool (NET)
49: Optimal money management : the Kelley growth criterion
Part 6: Methods and miscellaneous
51: How to work with data sources : collecting and visualizing data
52: Assessing players with limited data : the Bayesian approach
53: Finding latent patterns through matrix factorization
54: Network analysis in sports
56: Comparing players from different eras
57: Does fatigue make cowards of us all? The case of NBA back-to-back games and NFL bye weeks
58: The college football playoff
59: Quantifying sports collapses
