Cy Young Award Projections


About the Cy Young Award Projections:

These Cy Young Award Projections utilize a simple model created by Tangotiger. The original Cy Young Points model predicts the top two vote getters with high accuracy through 2020. The FIP Adjusted model may be a better predictor of more recent voting behavior. (The report is limited to pitchers with at least 50 projected IP.)

  • Cy Young Points (CYP): IP/2 - ER + SO/10 + W
  • FIP Adjusted Cy Young Points (FIP CYP): (IP/2 - ER) + (IP/2 - FIP Runs) + SO/10 + W
Data Export [Members Only]

American League

#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
Season StatsProjected Stats
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
1Tarik Skubal67.07131.3%4.3%2.012.052.42.533.551.8166.014628.7%5.0%2.822.514.94.463.9100.6
2Corbin Burnes72.15224.7%6.9%2.373.071.82.329.240.7200.112725.3%7.2%3.103.114.54.363.794.6
3Tanner Houck71.04524.4%4.6%1.902.122.52.531.450.2173.0121124.2%6.3%3.172.944.13.954.984.9
4Luis Castillo71.04625.5%6.5%3.293.681.11.321.027.5193.0131225.7%6.8%3.403.533.53.357.077.9
5Cole Ragans67.04429.7%7.9%3.492.262.21.619.836.5167.0111027.1%8.4%3.562.884.13.447.677.6
6Joe Ryan67.04327.9%3.4%2.962.752.01.522.835.8181.0121026.5%4.9%3.533.214.12.950.876.8
7Seth Lugo78.09121.2%5.8%1.733.201.83.739.651.0183.015720.3%6.3%3.103.653.15.059.076.4
8Kevin Gausman54.04324.0%6.0%4.163.081.20.211.620.2175.013825.2%5.8%3.703.273.72.347.171.1
9Logan Gilbert76.13323.9%6.7%3.313.621.11.720.227.7199.110823.0%6.6%3.483.612.93.551.270.8
10George Kirby68.04523.3%2.2%4.103.331.30.813.522.4187.0131122.7%3.0%3.753.363.62.645.969.7
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
Season StatsProjected Stats
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
1Tarik Skubal67.07131.3%4.3%2.012.052.42.533.551.8166.014628.7%5.0%2.822.514.94.463.9100.6
2Corbin Burnes72.15224.7%6.9%2.373.071.82.329.240.7200.112725.3%7.2%3.103.114.54.363.794.6
3Tanner Houck71.04524.4%4.6%1.902.122.52.531.450.2173.0121124.2%6.3%3.172.944.13.954.984.9
4Luis Castillo71.04625.5%6.5%3.293.681.11.321.027.5193.0131225.7%6.8%3.403.533.53.357.077.9
5Cole Ragans67.04429.7%7.9%3.492.262.21.619.836.5167.0111027.1%8.4%3.562.884.13.447.677.6
6Joe Ryan67.04327.9%3.4%2.962.752.01.522.835.8181.0121026.5%4.9%3.533.214.12.950.876.8
7Seth Lugo78.09121.2%5.8%1.733.201.83.739.651.0183.015720.3%6.3%3.103.653.15.059.076.4
8Kevin Gausman54.04324.0%6.0%4.163.081.20.211.620.2175.013825.2%5.8%3.703.273.72.347.171.1
9Logan Gilbert76.13323.9%6.7%3.313.621.11.720.227.7199.110823.0%6.6%3.483.612.93.551.270.8
10George Kirby68.04523.3%2.2%4.103.331.30.813.522.4187.0131122.7%3.0%3.753.363.62.645.969.7
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National League

#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
Season StatsProjected Stats
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
1Chris Sale63.18131.6%3.6%2.142.092.22.732.449.3167.117530.7%5.3%2.912.744.44.967.4100.1
2Zack Wheeler73.16329.0%7.8%2.342.752.22.532.146.3197.115826.6%7.3%3.103.015.24.867.199.7
3Logan Webb72.04420.3%6.3%2.752.661.81.924.138.9201.013920.6%5.7%3.092.934.24.661.796.9
4Tyler Glasnow74.06333.2%7.3%3.042.632.12.127.542.8172.015731.9%7.4%3.192.984.04.061.991.0
5Ranger Suárez72.09128.4%5.9%1.752.682.13.138.753.3177.016624.3%6.9%2.953.283.84.964.087.9
6Shota Imanaga58.05125.5%4.3%1.862.721.62.427.939.3162.011525.6%5.7%2.893.083.84.457.082.5
7Dylan Cease65.15431.4%7.7%3.312.771.81.321.834.3175.113930.2%8.9%3.443.153.83.155.481.7
8Max Fried66.15220.6%8.0%2.993.321.21.821.530.2182.115621.2%7.2%3.213.303.34.456.981.2
9Yoshinobu Yamamoto59.05228.4%5.3%3.512.821.51.218.429.4178.015726.6%5.3%3.543.173.83.352.979.3
10Sonny Gray52.07232.4%5.8%2.602.791.31.224.734.6166.014725.9%6.8%3.143.432.93.456.676.4
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
Season StatsProjected Stats
#NameIPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
IPWLK%BB%ERAFIPWARRA9-
WAR
CYPFIP
CYP
1Chris Sale63.18131.6%3.6%2.142.092.22.732.449.3167.117530.7%5.3%2.912.744.44.967.4100.1
2Zack Wheeler73.16329.0%7.8%2.342.752.22.532.146.3197.115826.6%7.3%3.103.015.24.867.199.7
3Logan Webb72.04420.3%6.3%2.752.661.81.924.138.9201.013920.6%5.7%3.092.934.24.661.796.9
4Tyler Glasnow74.06333.2%7.3%3.042.632.12.127.542.8172.015731.9%7.4%3.192.984.04.061.991.0
5Ranger Suárez72.09128.4%5.9%1.752.682.13.138.753.3177.016624.3%6.9%2.953.283.84.964.087.9
6Shota Imanaga58.05125.5%4.3%1.862.721.62.427.939.3162.011525.6%5.7%2.893.083.84.457.082.5
7Dylan Cease65.15431.4%7.7%3.312.771.81.321.834.3175.113930.2%8.9%3.443.153.83.155.481.7
8Max Fried66.15220.6%8.0%2.993.321.21.821.530.2182.115621.2%7.2%3.213.303.34.456.981.2
9Yoshinobu Yamamoto59.05228.4%5.3%3.512.821.51.218.429.4178.015726.6%5.3%3.543.173.83.352.979.3
10Sonny Gray52.07232.4%5.8%2.602.791.31.224.734.6166.014725.9%6.8%3.143.432.93.456.676.4
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