A FanPost at the Beyond The Boxscore a few weeks ago got me thinking about how well a team pieced together from the minor leagues best prospects would do playing against major league teams. What a perfect exercise to use my simulator for. What I did is took the ZIPS projections of the best minor leaguers and used them as input into my baseball simulator and played this imaginary team against a real MLB team. I filtered these minor leaguers to only use players under the age of 25 with little or no MLB experience. 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 yet.
After building my minor league All-Star team, the first team I decided to have them face was the Kansas City Royals, who are likely the American Leagues worst team. In this exercise I had 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 Royals 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.
Lineups | ||||
AAA All-Stars | Kansas City Royals | |||
Pos | Name | Org | Name | Pos |
CF | Charles Blackmon | COL | CF | Melky Cabrera |
C | Devin Mesoraco | CIN | 2B | Chris Getz |
1B | Brandon Belt | SF | LF | Alex Gordon |
3B | Mike Moustakas | KC | DH | Billy Butler |
DH | Freddie Freeman | ATL | RF | Jeff Francoeur |
LF | Jerry Sands | LAN | 1B | Kaile Kaaihue |
RF | J.D. Martinez | HOU | 3B | Mike Aviles |
2B | Daniel Descalso | STL | C | Jason Kendall |
SS | Grant Green | OAK | SS | Alcides Escobar |
Now let's take a look at the starting rotations.
AAA All-Stars | Kansas City Royals | |||
Name | Organization | Name | ||
#1 | Michael Pineda | SEA | vs | Luke Hochevar |
#2 | Julian Teheran | ATL | vs | Kyle Davies |
#3 | Jake McGee | TB | vs | Bruce Chen |
#4 | Christian Freidrich | COL | vs | Vinny Mazzaro |
#5 | Mike Montgomery | KC | vs | Jeff Francis |
Now let's take a look at the game results...
Results | |||||
Away | Away SP | Home | Home SP | Favorite | Win Prob |
Royals | Luke Hochever | AAA All-Stars | Michael Pineda | AAA All-Stars | 56.57% |
AAA All-Stars | Michael Pineda | Royals | Luke Hochever | Royals | 52.55% |
Royals | Kyle Davies | AAA All-Stars | Julian Teheran | AAA All-Stars | 55.24% |
AAA All-Stars | Julian Teheran | Royals | Kyle Davies | Royals | 53.69% |
Royals | Bruce Chen | AAA All-Stars | Jake McGee | AAA All-Stars | 59.77% |
AAA All-Stars | Jake McGee | Royals | Bruce Chen | AAA All-Stars | 50.03% |
Royals | Vinny Mazzaro | AAA All-Stars | Christian Freidrich | AAA All-Stars | 55.71% |
AAA All-Stars | Christian Freidrich | Royals | Vinny Mazzaro | Royals | 53.04% |
Royals | Jeff Francis | AAA All-Stars | Mike Montgomery | AAA All-Stars | 53.99% |
AAA All-Stars | Mike Montgomery | Royals | Jeff Francis | Royals | 54.80% |
Mean win percentage for the AAA All-Stars is 51.722%. So using the ZIPS projections as input for the AAA All-Star team and my proprietary set of projections for the Kansas City Royals, the AAA All-Star team is slightly stronger. Up next, I will attempt to run this same exercise with a National League team - probably a good one. I am thinking about doing it for the Phillies.
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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