As you can see, I like numbers, so now it is time for me to turn into Horvie James and calculate some Sabermetric statistics from Season 25 of Pine Tar. I copy/pasted all season 25 statistics into an excel spreadsheet, wrote a few formulas for the stats, and sorted. We are going to look at Runs Created, Secondary Average, and Stolen Base Runs Generated. I'm not going to do any sort of heavy analysis on the stats...will just post and make a few comments/questions on each. If you would like to investigate further or add your opinions on these statistics, feel free to do so in the comment section of the blog.
Runs Created (Top 25 from Season 25): estimates the number of runs a batter contributes to his team by combining on-base percentage and total bases. Formula = OBP x TB.
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Observations/Questions for further analysis:
-9 of these players had less than 100 RBIs, but "created" well over 100 runs.
-6 players had fewer Runs Created than RBIs.
-Average salary of the top-5 is $7,345,000. #1 ranked Armando Mota is currently a free agent!
-Is there a range/formula of specific attributes that will result in players creating a high amount of runs?
Secondary Average (Top 25): evaluates the number of bases gained independent of batting average (through power, plate discipline, and speed). Formula = [BB + (TB - H) + (SB - CS)]/AB.
Team | Player | Secondary Avr | Batting Avr | |
1 | NY Dam | Gus Justice | 0.471698113 | 0.244 |
2 | Milw | Vinny Hill | 0.464367816 | 0.315 |
3 | Bos | Matt Jaha | 0.455284553 | 0.341 |
4 | Fargo | Tony Caballero | 0.432574431 | 0.296 |
5 | Lou | Allen Gruber | 0.43220339 | 0.274 |
6 | Sea | Benny Navarro | 0.428571429 | 0.286 |
7 | Sea | Jo-jo Frandsen | 0.422509225 | 0.288 |
8 | TB | Rico Tatis | 0.415481833 | 0.297 |
9 | Helena | Rafael Hernandez | 0.410029499 | 0.301 |
10 | OKC | Carlos Zorrilla | 0.409090909 | 0.269 |
11 | Durham | Eric Lindsey | 0.407265774 | 0.342 |
12 | Fargo | Zip Sullivan | 0.406451613 | 0.281 |
13 | Col Spr | Pedro Reyes | 0.403041825 | 0.302 |
14 | NO | Sam Slotnick | 0.401944895 | 0.277 |
15 | San Juan | Charles Yoshii | 0.399113082 | 0.304 |
16 | Alb | Bert Heiserman | 0.396984925 | 0.268 |
17 | Scranton | Benito Rodriguez | 0.396484375 | 0.314 |
18 | Dover | John Pong | 0.395789474 | 0.286 |
19 | NO | Samuel Wallace | 0.392523364 | 0.284 |
20 | Col Spr | Juan Perez | 0.390909091 | 0.330 |
21 | Rochest | Kazuhiro Kuroda | 0.388560158 | 0.290 |
22 | Dover | Armando Mota | 0.384615385 | 0.309 |
23 | Texas | Alan Wilson | 0.380097879 | 0.297 |
24 | San Juan | John Davidson | 0.375238095 | 0.291 |
25 | Bos | Mateo Nunez | 0.372191011 | 0.305 |
Observations/Questions for further analysis:
-Only 5 of these players had a batting average below .280.
-The #1 ranked player (Gus Justice) actually had the lowest batting average of the top-25 at .244, but does have an overall rating of 89 and earn a salary of 9,250,000.
-Three of the top-5 ranked players have an overall rating of 76 or below (Vinny Hill, Matt Jaha, Allen Gruber). Are these 3 and other players with high secondary averages considered "steals"?
Stolen Base Runs (Top 15): estimates the impact of base-stealers, as studies have shown that each successful steal adds about .3 runs to a team's total runs scored. Formula = (.3 x SB) - (.6 x CS).
Team | Player | SB Runs | |
1 | Jackson | Edgardo Mijares | 15.6 |
2 | Dover | Brent Summers | 15.6 |
3 | Sea | Clyde Nathan | 14.1 |
4 | Lou | Alex Lyons | 12 |
5 | Bos | Mateo Nunez | 11.7 |
6 | Scranton | Raymond Petrov | 11.1 |
7 | NO | Eduardo Tabata | 11.1 |
8 | NY Dam | Gus Justice | 10.8 |
9 | Hou | Ugueth Gonzales | 10.8 |
10 | Bos | Greg Parrott | 8.7 |
11 | Sea | Jo-jo Frandsen | 7.2 |
12 | OKC | Bernie Butler | 7.2 |
13 | St. Lou | O.T. Harper | 7.2 |
14 | Lou | Tony Franco | 6.9 |
15 | Fresno | Del Broome | 6.9 |
Observations/Questions for further analysis:
-It would be interesting to see if all of these players have an extremely high baserunning rating. Mijares and Summers have 86 and 87 ratings, respectively.
-The numbers in this statistic are lower than I expected. How important do you factor speed when evaluating your offense?