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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