Intro Batting Stats Abbreviations ● ● ● ● ● ● ● ● ● G = Games Played PA = Plate Appearances AB = At-bats H = Hits BB = Base on Balls K = Strikeout IBB = Intentional Walk HP = Hit by Pitch SH = Sacrifice Hits (Bunts) ● R = Runs Scored ● RBI = Runs Batted In ● 1B = Singles ● 2B = Doubles ● 3B = Triples ● HR = Home Runs ● SF = Sacrifice Flies ● TB = Total Bases = 1(1B) + 2(2B) + 3(3B) + 4(HR) AVG/OBP/SLG - The Slash Line ● Batting Average (AVG) = H / AB ○ Popular, commonly used ● On-Base Percentage (OBP) = (H + BB + HP) / (AB + BB + HP + SF) ○ The “Moneyball” stat ● Slugging Percentage (SLG) = TB / AB ○ Idea of player’s power ● Ex: Mike Trout 2014 - .287/.377/.561 Mike Trout 2013 - .323/.432/.557 OPS and ISO ● OPS = OBP + SLG, simple but useful ● Isolated Power (ISO) = SLG - AVG ● Ex: Mike Trout 2014 - ISO = .274 Mike Trout 2013 - ISO = .238 ● All these metrics are useful in comparing performance, but don’t provide full picture ● Want to understand why... Discipline ● BB% = Walk Percentage = BB / PA ● K% = Strikeout Percentage = K / PA ● Provide context on batter’s plate discipline ● For power hitters both tend to be high ● Obviously prefer higher BB%, lower K% ● K% has been on the rise Batted Ball ● Batting Average on Balls In Play (BABIP) ○ BABIP = (H - HR) / (AB - K - HR + SF) ○ 3 main influences ■ Defense - Better fielders, hit into shifts ■ Luck - Bloop singles, at’em balls ■ Talent Level ○ Lets us determine if a batter’s slash line is sustainable or not ○ Need to look at BABIP relative to player’s career ○ Roughly 800 balls in play to stabilize ○ If current BABIP deviates greatly….? Batted Ball Cont. ● ● ● ● ● ● ● ● ● ● ● Better players tend to have higher BABIP Harder the ball is hit, more likely it is a hit Line Drive Percentage (LD%) = Line Drives / Balls in Play Fly Ball Percentage (FB%) = Fly Balls / Balls in Play Ground Ball Percentage (GB%) = Ground Balls / Balls in Play Infield Fly Ball Percentage (IFFB%) = Infield Fly Balls / Fly Balls Informs us of the type of hitter we are looking at More line drives tends to result in higher BABIP due to true talent More fly balls or ground balls with higher BABIP indicates luck Roughly a year and a half for rates to stabilize Limitations - “A ball isn’t a fly ball or a line drive, it is hit at X launch angle, Y degrees from center, at Z velocity” Comparison: Mike Trout vs Bryce Harper Comparison: Mike Trout vs Bryce Harper Intro Pitching Stats Abbreviations and #KILLTHEWIN ● ● ● ● ● ● W = Wins L = Losses G = Games GS = Games Started CG = Complete Games ShO = Complete Game Shutout ● IP = Innings Pitched, .1 represents ⅓, .2 represents ⅔ ● TBF = Total Batters Faced ● ● ● ● ● ● ● ● ● ● SV = Saves HLD = Hold BS = Blown Save BB = Walks Allowed SO = Strikeouts H = Hits Allowed R = Runs Allowed IBB = Intentional Walks HBP = Hit by Pitch WP = Wild Pitches Earned Run Average (ERA) ● ER = Earned Runs Allowed ● An earned run is a run scored without the aid of errors by the field (i.e. by hits, walks, and outs that advance runners) ● ERA = (ER * 9) / IP ● Average number of earned runs allowed thru 9 IP ● Very popular but with serious faults ● Relies too heavily on context Walks plus Hits per Innings Pitched (WHIP) ● WHIP = (BB + H) / IP ● Measures average number of base runners a pitcher allows per inning ● Associated a pitcher’s effectiveness however it originated for fantasy baseball ● Along with ERA, does not include strikeouts and heavily dependent on hits allowed... Other Useful Metrics ● ● ● ● ● ● K / 9 = Average number of SO per 9 IP BB / 9 = Average number of BB per 9 IP K / BB = SO to BB ratio K% = SO / TBF, frequency of SOs BB% = BB / TBF, frequency of BBs LOB% = Left On-Base %, percentage of pitcher’s own base runners that they strand ● Also use the batted ball metrics LD%,.... Common Sense ● December 1999, baseball fan Voros McCracken developed a new way of measuring pitching ● Questioned whether or not a pitcher could do anything about balls in play ● Concluded that what happens after a ball is put in play depends on the defense ● Pitcher solely controls BB, SO, and HRs Defensive Independent Pitching Stats ● So McCracken developed DIPS ● Fielding Independent Pitching (FIP) ○ FIP = (13HR + 3(BB+HBP) - 2K) / IP + constant ○ This constant brings FIP to an ERA scale ■ constant = lgERA – (13lgHR+3(lgBB+lgHBP)-2lgK) / lgIP ○ Strips away defense, more stable indicator of a pitcher’s ability acting as an expected ERA ○ Essentially assumes average defense and luck ○ Values derived from run values (explore next week) Understanding BABIP and FIP ● ● ● Pitchers have little control over their BABIP allowed Using FIP and BABIP together we can assess whether or not a pitcher is unlucky Ex: Max Scherzer 2012, ERA = 3.74, BABIP = .333, FIP = 3.23 Max Scherzer 2013, ERA = 2.90, BABIP = .259, FIP = 2.74 ● ● ● ● Over long periods of time will closely follow ERA but can vary greatly in short run - Brandon McCarthy in 2014 (look him up on Twitter) Can help understand a team’s defense as well xFIP - assumes a league average home run to fly ball rate FIP and xFIP are just the first of many great pitching metrics SIERA ● Skill-Interactive ERA ● Similar to FIP and xFIP however it does NOT ignore balls in play ● This additional complexity is to attempt to more accurately assess a pitcher’s skill ● Tells us more about the how and why of pitching compared to other metrics ● Drawback is its complexity, different calculations for sites SIERA Cont. ● Similar scale with ERA just like FIP ● Park adjusted and includes a term for run environment ● Important factors it highlights: ○ ○ ○ ○ ○ Strikeouts are better than FIP suggests - pitchers with more strikeouts have lower BABIPs, have lower HR/FB ratio, and get more ground balls in double play situations Walks are bad, but worse for pitchers with higher walk rates Relief pitchers have lower BABIPs and HR/FB More baserunners a pitcher allows, the higher percentage of them will score Balls in play are complicated - but more ground balls are easier for the defense Comparison: Kershaw vs Bumgarner Next Week... 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