In baseball statistics, the basic pitch count estimator is a statistic used to estimate the number of pitches thrown by a pitcher where there is no pitch count data available.
 The formula was first derived by Tom Tango.
 The formula is formula_1, where PA refers to the number of plate appearances against the pitcher, SO to strikeouts and BB to base on balls.
In statistics, the Durbin–Watson statistic is a test statistic used to detect the presence of autocorrelation (a relationship between values separated from each other by a given time lag) in the residuals (prediction errors) from a regression analysis.
 It is named after James Durbin and Geoffrey Watson.
 The small sample distribution of this ratio was derived by John von Neumann (von Neumann, 1941).
 Durbin and Watson (1950, 1951) applied this statistic to the residuals from least squares regressions, and developed bounds tests for the null hypothesis that the errors are serially uncorrelated against the alternative that they follow a first order autoregressive process.
 Later, John Denis Sargan and Alok Bhargava developed several von Neumann–Durbin–Watson type test statistics for the null hypothesis that the errors on a regression model follow a process with a unit root against the alternative hypothesis that the errors follow a stationary first order autoregression (Sargan and Bhargava, 1983).
 Note that the distribution of this test statistic does not depend on the estimated regression coefficients and the variance of the errors.
Out of zone plays made, known by the acronym OOZ, is a baseball statistic used to measure a baseball player's performance on defense.
Run support is a baseball statistic used to assess a starting pitcher's support by the team's offense in actual runs scored.
 It measures how many runs were scored by his team on average when he starts.
 It is considered a somewhat important statistic because a team (and its pitcher) earn wins by holding its opponents to fewer runs than it scores.
 Since a pitcher's skill is a large factor in how many runs the opponent scores and a non-factor in how many runs his team scores, this is a measure of whether the pitcher happened to pitch on days when his team scored a lot.
 There are two different measures of run support.
 These statistics may be adjusted for park and league factors.
Plus−minus (+/−, ±, plus/minus) is a sports statistic used to measure a player's impact on the game, represented by the difference between their team's total scoring versus their opponent's when the player is in the game.
 In ice hockey, it measures a player's goal differential.
 When an even-strength goal or shorthanded goal is scored, the plus–minus statistic is increased by one ("plus") for those players on the ice for the team scoring the goal; the plus–minus statistic is decreased by one ("minus") for those players on the ice for the team allowing the goal.
 Power play or penalty shot goals are excluded.
 An empty net does not matter for the calculation of plus–minus.
Advanced Metrics is the term for the empirical analysis of sports, particularly statistics that measure in-game productivity and efficiency.
 Advanced metrics were first employed in baseball by Bill James, a pioneer in the field who is considered the father and public face of the practice.
tRA is a baseball statistic used to measure the performance of a pitcher.
 Similar to FIP, tRA uses a mathematical formula to isolate the pitcher from his defense.
 Thus, tRA is a defense-independent pitching statistic.
 Unlike FIP and dERA, however, tRA takes into account batted ball type (that is, line drives, fly balls, pop ups, and ground balls) as well as strikeouts, walks, and home runs.
In baseball statistics, on-base percentage (OBP; sometimes referred to as on-base average/OBA, as the statistic is rarely presented as a true percentage) is a statistic generally measuring how frequently a batter reaches base.
 Specifically, it records the ratio of the batter's times-on-base (TOB) (the sum of hits, walks, and times hit by pitch) to their number of plate appearances.
 It first became an official MLB statistic in 1984.
Sabermetrics is the empirical analysis of baseball, especially baseball statistics that measure in-game activity.
Ultimate Zone Rating (UZR) is a sabermetric statistic used to measure fielding.
 It compares the event that actually happened (hit/out/error) to data on similarly hit balls in the past to determine how much better or worse the fielder did than the "average" player.
 UZR divides a baseball field into multiple zones and assigns individual fielders responsibility for those zones.

Question: Ultimate Zone Rating (UZR) is which type of empirical analysis of baseball, especially baseball statistics that measure in-game activity, statistic used to measure fielding?
Answer: Sabermetrics