SWC75
Bored Historian
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- Aug 26, 2011
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Last year I introduced the concept of “bases produced” and wedded it to the old concept of “runs produced”. There’s a lot of debate about which baseball statistics are the best ones. My points in a somewhat lengthy introduction were that:
1) Its sports, not a moon shot: let’s keep things simple. Stats should be easy to compute and what the resulting number represents should be clear. You should be able to see a play in a game and know the impact of that play on the stat, perhaps even compute it in your head.
2) I like the concept of “OBPS”: adding on base percentage to slugging percentage to wed the two most important stats and supplant the over-rated batting average, home runs and stolen bases in evaluating players. But I don’t like the stat itself. You are adding together two percentages, each with a different divisor, (total plate appearances vs. official at bats). You are including hits on both sides of the equation and thus counting them twice. You are including something the batter is not actually, (or normally), trying to do, being hit by a pitch, which is part of on base percentage. You are excluding stolen bases, which is something the player is trying to do once he gets on base. Steals can turn singles into doubles and doubles into triples. Finally you are producing a number that, while it can be used to rank players, doesn’t represent how many times or how frequently he produced something. Miguel Cabrera’s OPS is 1.130. 1.130 what?
3) Let’s simplify this by computing it this way: Add total bases, which is the hit total broken out to 1 base for a single, 2 for a double, 3 for a triple and 4 for a home run, the dividend in a player “slugging percentage”. Let’s add to that the major additional component in “on base percentage: the walks, and then the other thing a batter can do to advance himself when he gets on base: the stolen base. That’s “bases produced”. You could add in some other stuff: the number of bases he got by tagging up on outs, the number of bases he took on hits that were more than the batter took, (Enos Slaughter gets an extra base for scoring off Harry Walker’s double to win the 1946 series), even bases taken on the batter’s ground outs. You could add in the bases the bases other players get to take because of the batter’s hits. But those things aren’t kept track off so we will “keep it simple”: Total Bases + Walks + Steals = Base Production, (BP). Everything is counted once and everything is something the batter is actually trying to do to: obtain bases for himself and his team.
4) The “sister stat” to BP would be “Runs Produced”, (RP), which has been around for years: Runs scored + runs driven in – home runs so you don’t count them twice.
5) There’s a lot to be said for gross totals: you don’t know if a rate of production would have been kept up and the impact of a player playing in a game is always going to be greater than the impact of a player who doesn’t. If you must have a percentage or an average the instinct would be to divide BP and RP by plate appearances.-But how about using games played, since top players will normally play entire games. A top offensive player will usually produce around 3 bases and 1 run per game. If the entire batting order did that, his team would produce 27 bases and 9 runs, which would win games easily.
I think BP and RP are a much easier to compute and comprehend way of evaluating player’s offensive skills than the “super numbers” the sabermaticians have come up in recent years, like Total Average, (an oxymoron), Offensive Winning Percentage, Runs Created and Win Shares, (which Bill James used 86 pages to explain in a book). The numbers would be more relevant than batting average, homers and steals, yet nearly as easy to compute and comprehend. Maybe BP and RP would be the stats everybody should know about their favorite player or the guy they think should be MVP, (although that call should be based on more than just a stat).
Anyway, we are embarked on a new season and I am again going to post the monthly top ten rankings in BP and RP, along with the per- game averages, although the ranking will be based on the total.
After September:
AMERICAN LEAGUE
Bases Produced
Mike Trout Angels 471 in 157 games (3.00)
Miguel Cabrera, Tigers 446 in 148 games (3.01)
Chris Davis, Orioles 446 in 160 games (2.79)
Robinson Cano, Yankees 384 in 160 games (2.40)
Edwin Encarnacion, Blue Jays 372 in 142 games (2.62)
Adrian Beltre, Rangers 370 in 160 games (2.31)
Josh Donaldson, Athletics 370 in 158 games (2.34)
Evan Longoria, Rays 369 in 159 games (2.32)
Jason Kipnis, Indians 361 in 149 games (2.42)
Adam Jones, Orioles 361 in 160 games (2.26)
Prince Fielder, Tigers 361 in 162 games (2.23)
Runs Produced
Miguel Cabrera, Tigers 196 in 148 games (1.32)
Chris Davis, Orioles 188 in 160 games (1.18)
Mike Trout Angels 179 in 157 games (1.14)
Adam Jones, Orioles 175 in 160 games (1.09)
Dustin Pedroia, Red Sox 166 in 160 games (1.04)
Prince Fielder. Tigers 163 in 162 games (1.01)
Robinson Cano, Yankees 161 in 160 games (1.01)
Edwin Encarnacion, Blue Jays 158 in 142 games (1.11)
Josh Donaldson, Athletics 158 in 158 games (1.00)
David Ortiz, Red Sox 157 in 137 games (1.15)
Torii Hunter, Tigers 157 In 144 games (1.09)
NATIONAL LEAGUE
Bases Produced
Paul Goldschmidt, D-backs 446 in 160 games (2.79)
Joey Votto, Reds 426 in 162 games (2.63)
Andrew McCutchen, Pirates 401 in 157 games (2.55)
Shin-Soo Choo, Reds 395 in 154 games (2.56)
Hunter Pence, Giants 378 in 162 games (2.33)
Matt Carpenter, Cardinals 376 in 157 games (2.39)
Jay Bruce, Reds 369 in 160 games (2.31)
Carlos Gomez, Braves 348 in 147 games (2.37)
Freddie Freeman, Braves 343 in 147 games (2.33)
Justin Upton Braves 342 in 149 games (2.30)
Runs produced
Matt Carpenter, Cardinals 193 in 157 games (1.23)
Paul Goldschmidt, D-Backs 192 in 160 games (1.20)
Matt Holliday, Cardinals 175 in 141 games (1.24)
Freddie Freeman, Braves 175 in 147 games (1.19)
Jay Bruce, Reds 168 in 160 games (1.05)
Brandon Phillips, Reds 165 in 151 games (1.09)
Andrew McCutcheon 160 in 157 games (1.02)
Daniel Murphy, Mets 157 in 161 games (0.98)
Alan Craig Cardinals 155 in 134 games (1.16)
Joey Votto, Reds 150 in 162 games (0.93)
1) Its sports, not a moon shot: let’s keep things simple. Stats should be easy to compute and what the resulting number represents should be clear. You should be able to see a play in a game and know the impact of that play on the stat, perhaps even compute it in your head.
2) I like the concept of “OBPS”: adding on base percentage to slugging percentage to wed the two most important stats and supplant the over-rated batting average, home runs and stolen bases in evaluating players. But I don’t like the stat itself. You are adding together two percentages, each with a different divisor, (total plate appearances vs. official at bats). You are including hits on both sides of the equation and thus counting them twice. You are including something the batter is not actually, (or normally), trying to do, being hit by a pitch, which is part of on base percentage. You are excluding stolen bases, which is something the player is trying to do once he gets on base. Steals can turn singles into doubles and doubles into triples. Finally you are producing a number that, while it can be used to rank players, doesn’t represent how many times or how frequently he produced something. Miguel Cabrera’s OPS is 1.130. 1.130 what?
3) Let’s simplify this by computing it this way: Add total bases, which is the hit total broken out to 1 base for a single, 2 for a double, 3 for a triple and 4 for a home run, the dividend in a player “slugging percentage”. Let’s add to that the major additional component in “on base percentage: the walks, and then the other thing a batter can do to advance himself when he gets on base: the stolen base. That’s “bases produced”. You could add in some other stuff: the number of bases he got by tagging up on outs, the number of bases he took on hits that were more than the batter took, (Enos Slaughter gets an extra base for scoring off Harry Walker’s double to win the 1946 series), even bases taken on the batter’s ground outs. You could add in the bases the bases other players get to take because of the batter’s hits. But those things aren’t kept track off so we will “keep it simple”: Total Bases + Walks + Steals = Base Production, (BP). Everything is counted once and everything is something the batter is actually trying to do to: obtain bases for himself and his team.
4) The “sister stat” to BP would be “Runs Produced”, (RP), which has been around for years: Runs scored + runs driven in – home runs so you don’t count them twice.
5) There’s a lot to be said for gross totals: you don’t know if a rate of production would have been kept up and the impact of a player playing in a game is always going to be greater than the impact of a player who doesn’t. If you must have a percentage or an average the instinct would be to divide BP and RP by plate appearances.-But how about using games played, since top players will normally play entire games. A top offensive player will usually produce around 3 bases and 1 run per game. If the entire batting order did that, his team would produce 27 bases and 9 runs, which would win games easily.
I think BP and RP are a much easier to compute and comprehend way of evaluating player’s offensive skills than the “super numbers” the sabermaticians have come up in recent years, like Total Average, (an oxymoron), Offensive Winning Percentage, Runs Created and Win Shares, (which Bill James used 86 pages to explain in a book). The numbers would be more relevant than batting average, homers and steals, yet nearly as easy to compute and comprehend. Maybe BP and RP would be the stats everybody should know about their favorite player or the guy they think should be MVP, (although that call should be based on more than just a stat).
Anyway, we are embarked on a new season and I am again going to post the monthly top ten rankings in BP and RP, along with the per- game averages, although the ranking will be based on the total.
After September:
AMERICAN LEAGUE
Bases Produced
Mike Trout Angels 471 in 157 games (3.00)
Miguel Cabrera, Tigers 446 in 148 games (3.01)
Chris Davis, Orioles 446 in 160 games (2.79)
Robinson Cano, Yankees 384 in 160 games (2.40)
Edwin Encarnacion, Blue Jays 372 in 142 games (2.62)
Adrian Beltre, Rangers 370 in 160 games (2.31)
Josh Donaldson, Athletics 370 in 158 games (2.34)
Evan Longoria, Rays 369 in 159 games (2.32)
Jason Kipnis, Indians 361 in 149 games (2.42)
Adam Jones, Orioles 361 in 160 games (2.26)
Prince Fielder, Tigers 361 in 162 games (2.23)
Runs Produced
Miguel Cabrera, Tigers 196 in 148 games (1.32)
Chris Davis, Orioles 188 in 160 games (1.18)
Mike Trout Angels 179 in 157 games (1.14)
Adam Jones, Orioles 175 in 160 games (1.09)
Dustin Pedroia, Red Sox 166 in 160 games (1.04)
Prince Fielder. Tigers 163 in 162 games (1.01)
Robinson Cano, Yankees 161 in 160 games (1.01)
Edwin Encarnacion, Blue Jays 158 in 142 games (1.11)
Josh Donaldson, Athletics 158 in 158 games (1.00)
David Ortiz, Red Sox 157 in 137 games (1.15)
Torii Hunter, Tigers 157 In 144 games (1.09)
NATIONAL LEAGUE
Bases Produced
Paul Goldschmidt, D-backs 446 in 160 games (2.79)
Joey Votto, Reds 426 in 162 games (2.63)
Andrew McCutchen, Pirates 401 in 157 games (2.55)
Shin-Soo Choo, Reds 395 in 154 games (2.56)
Hunter Pence, Giants 378 in 162 games (2.33)
Matt Carpenter, Cardinals 376 in 157 games (2.39)
Jay Bruce, Reds 369 in 160 games (2.31)
Carlos Gomez, Braves 348 in 147 games (2.37)
Freddie Freeman, Braves 343 in 147 games (2.33)
Justin Upton Braves 342 in 149 games (2.30)
Runs produced
Matt Carpenter, Cardinals 193 in 157 games (1.23)
Paul Goldschmidt, D-Backs 192 in 160 games (1.20)
Matt Holliday, Cardinals 175 in 141 games (1.24)
Freddie Freeman, Braves 175 in 147 games (1.19)
Jay Bruce, Reds 168 in 160 games (1.05)
Brandon Phillips, Reds 165 in 151 games (1.09)
Andrew McCutcheon 160 in 157 games (1.02)
Daniel Murphy, Mets 157 in 161 games (0.98)
Alan Craig Cardinals 155 in 134 games (1.16)
Joey Votto, Reds 150 in 162 games (0.93)
