I've recently imported some minor league stats from ZIPS projections into my simulator and created a minor league All-Star team based off of the ZIPS projections (MLEs) of the best minor leaguers that have yet to crack the major leagues. I then pit that team against a major league team to see how well they match up. So far I have matched them up against the Royals and the Phillies. The minor league All-Star team actually beat the Royals, winning an average of 51.72% of the time. The Phillies on the other hand won 65.67% of the time. Now I take a look at how the Dodgers did. There are still a handful of teams that ZIPS does not have projections for at this time, so players from those teams are not eligible for the minor league All-Star team yet. Jerry Sands is the only Dodgers to crack the minor league All-Star team (starting left fielder).
The methodology I used was to have each #1 starting pitcher face each other, both away and home.  I then did the same thing for the #2 thru #5 pitchers, thus having a 10 game series.  Each of the 10 games was simulated/played 100K times with the simulator spitting out a win probability for each game.  I decided to use the same bullpens for each team (the Dodgers bullpen) and give all of the minor league players a league average defensive rating. 
 Here are the rosters of the two teams that I used.  Keep in mind that lineups don't matter much.
| Lineups | ||||
| AAA All-Stars | Los Angeles Dodgers | |||
| Pos | Name | Org | Name | Pos | 
| CF | Charles Blackmon | COL | SS | Rafael Furcal | 
| C | Devin Mesoraco | CIN | CF | Matt Kemp | 
| 1B | Brandon Belt | SF | RF | Andre Ethier | 
| 3B | Mike Moustakas | KC | 2B | Juan Uribe | 
| LF | Jerry Sands | LAN | 1B | James Loney | 
| RF | J.D. Martinez | HOU | LF | Marcus Thames | 
| 2B | Daniel Descalso | STL | 3B | Casey Blake | 
| SS | Grant Green | OAK | C | Rod Barajas | 
| P | Pitcher | NA | P | Pitcher | 
 Now let's take a look at the starting rotations.
| AAA All-Stars | Los Angeles Dodgers | |||
| Name | Organization | Name | ||
| #1 | Michael Pineda | SEA | vs | Clayton Kershaw | 
| #2 | Julian Teheran | ATL | vs | Chad Billingsley | 
| #3 | Jake McGee | TB | vs | Hiroki Kuroda | 
| #4 | Christian Freidrich | COL | vs | Ted Lilly | 
| #5 | Mike Montgomery | KC | vs | Jon Garland | 
 Now let's take a look at the game results...
| Results | |||||
| Away | Away SP | Home | Home SP | Favorite | Win Prob | 
| Dodgers | Clayton Kershaw | AAA All-Stars | Michael Pineda | Dodgers | 58.44% | 
| AAA All-Stars | Michael Pineda | Dodgers | Clayton Kershaw | Dodgers | 70.65% | 
| Dodgers | Chad Billingsley | AAA All-Stars | Julian Teheran | Dodgers | 56.59% | 
| AAA All-Stars | Julian Teheran | Dodgers | Chad Billingsley | Dodgers | 69.43% | 
| Dodgers | Hiroki Kuroda | AAA All-Stars | Jake McGee | Dodgers | 50.68% | 
| AAA All-Stars | Jake McGee | Dodgers | Hiroki Kuroda | Dodgers | 63.65% | 
| Dodgers | Ted Lilly | AAA All-Stars | Christian Freidrich | Dodgers | 52.91% | 
| AAA All-Stars | Christian Freidrich | Dodgers | Ted Lilly | Dodgers | 64.83% | 
| Dodgers | Jon Garland | AAA All-Stars | Mike Montgomery | AAA All-Stars | 52.67% | 
| AAA All-Stars | Mike Montgomery | Dodgers | Jon Garland | Dodgers | 60.16% | 
 Mean win percentage for the Dodgers is 59.47%.  So using the ZIPS projections as input for the AAA All-Star team and my proprietary set of projections for the Dodgers, the AAA All-Star team, the Dodgers beat up the AAA All-Star team pretty bad, a little bit worse than how badly the Dodgers would beat up the Diamondbacks.
 Simulator Notes: My simulator takes into account (among other things) park factors, home field advantage, defense, splits, base running and uses a proprietary set of hitter and pitcher projections for MLB players.
 
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