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 Skubal28.22225.0%4.3%2.832.890.80.910.215.4195.214927.9%5.2%2.902.835.65.070.7107.1
2Garrett Crochet32.02128.5%8.1%1.132.181.11.417.525.7168.013730.6%7.9%2.632.655.25.168.8103.2
3Logan Gilbert27.11138.0%5.6%2.632.220.90.910.817.7194.111928.1%5.7%3.203.214.23.761.289.0
4Max Fried31.24022.7%5.3%1.422.900.81.017.823.5181.215722.5%6.6%3.073.413.73.860.882.8
5Cole Ragans27.21136.8%6.1%3.581.801.10.58.016.3178.211929.2%8.3%3.533.184.53.552.178.4
6Hunter Brown31.03128.2%5.5%1.162.031.21.617.626.1174.013925.3%7.9%3.213.344.03.856.078.3
7Drew Rasmussen20.21128.9%6.6%0.871.620.91.211.518.1129.28624.8%6.3%2.853.012.82.944.766.2
8Chris Bassitt28.22128.6%5.0%1.881.491.31.213.723.3180.2121023.0%7.5%3.543.663.53.048.965.8
9Framber Valdez28.01221.8%9.2%4.503.490.50.33.66.7184.012922.3%8.4%3.623.653.23.147.264.6
10Pablo López16.21120.9%3.0%1.623.270.40.47.710.0171.2111024.6%5.8%3.573.563.32.646.364.3
#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 Skubal28.22225.0%4.3%2.832.890.80.910.215.4195.214927.9%5.2%2.902.835.65.070.7107.1
2Garrett Crochet32.02128.5%8.1%1.132.181.11.417.525.7168.013730.6%7.9%2.632.655.25.168.8103.2
3Logan Gilbert27.11138.0%5.6%2.632.220.90.910.817.7194.111928.1%5.7%3.203.214.23.761.289.0
4Max Fried31.24022.7%5.3%1.422.900.81.017.823.5181.215722.5%6.6%3.073.413.73.860.882.8
5Cole Ragans27.21136.8%6.1%3.581.801.10.58.016.3178.211929.2%8.3%3.533.184.53.552.178.4
6Hunter Brown31.03128.2%5.5%1.162.031.21.617.626.1174.013925.3%7.9%3.213.344.03.856.078.3
7Drew Rasmussen20.21128.9%6.6%0.871.620.91.211.518.1129.28624.8%6.3%2.853.012.82.944.766.2
8Chris Bassitt28.22128.6%5.0%1.881.491.31.213.723.3180.2121023.0%7.5%3.543.663.53.048.965.8
9Framber Valdez28.01221.8%9.2%4.503.490.50.33.66.7184.012922.3%8.4%3.623.653.23.147.264.6
10Pablo López16.21120.9%3.0%1.623.270.40.47.710.0171.2111024.6%5.8%3.573.563.32.646.364.3
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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
1Logan Webb30.02132.8%6.0%2.401.631.20.912.822.4200.014923.3%5.6%3.112.874.84.264.1100.4
2Paul Skenes31.12225.4%3.4%2.872.001.20.710.719.4180.112928.7%6.2%2.992.725.44.563.098.7
3Yoshinobu Yamamoto29.03135.2%6.5%0.932.031.01.618.326.3168.014728.1%6.3%2.953.054.24.261.888.9
4Zack Wheeler31.12133.6%4.9%3.733.150.70.68.813.5203.114827.6%6.1%3.413.324.94.361.487.9
5Chris Sale23.10229.1%6.4%6.173.800.3-0.3-1.10.7176.111829.8%6.5%3.573.183.83.251.177.0
6Clay Holmes25.22130.1%11.5%3.162.130.80.49.216.0168.213923.8%9.4%3.423.263.22.350.674.0
7Michael King28.03027.2%8.8%2.573.380.61.012.115.6179.014826.1%8.7%3.373.653.43.556.073.0
8Spencer Schwellenbach31.21121.8%4.0%2.563.120.61.010.515.4184.211823.1%5.3%3.463.533.33.449.869.8
9Nick Pivetta30.04127.0%6.3%1.202.161.11.718.025.8163.013927.7%7.4%3.313.573.33.452.869.6
10MacKenzie Gore29.02237.8%6.7%3.412.201.00.710.017.4173.0111128.6%8.5%3.643.463.63.048.368.3
#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
1Logan Webb30.02132.8%6.0%2.401.631.20.912.822.4200.014923.3%5.6%3.112.874.84.264.1100.4
2Paul Skenes31.12225.4%3.4%2.872.001.20.710.719.4180.112928.7%6.2%2.992.725.44.563.098.7
3Yoshinobu Yamamoto29.03135.2%6.5%0.932.031.01.618.326.3168.014728.1%6.3%2.953.054.24.261.888.9
4Zack Wheeler31.12133.6%4.9%3.733.150.70.68.813.5203.114827.6%6.1%3.413.324.94.361.487.9
5Chris Sale23.10229.1%6.4%6.173.800.3-0.3-1.10.7176.111829.8%6.5%3.573.183.83.251.177.0
6Clay Holmes25.22130.1%11.5%3.162.130.80.49.216.0168.213923.8%9.4%3.423.263.22.350.674.0
7Michael King28.03027.2%8.8%2.573.380.61.012.115.6179.014826.1%8.7%3.373.653.43.556.073.0
8Spencer Schwellenbach31.21121.8%4.0%2.563.120.61.010.515.4184.211823.1%5.3%3.463.533.33.449.869.8
9Nick Pivetta30.04127.0%6.3%1.202.161.11.718.025.8163.013927.7%7.4%3.313.573.33.452.869.6
10MacKenzie Gore29.02237.8%6.7%3.412.201.00.710.017.4173.0111128.6%8.5%3.643.463.63.048.368.3
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