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 Skubal102.09232.1%3.3%2.292.123.83.946.573.4197.017531.2%4.3%2.422.456.66.986.6131.5
2Garrett Crochet109.17431.3%7.2%2.062.543.44.450.274.0187.114831.2%7.2%2.502.765.56.579.1115.3
3Max Fried108.010224.5%4.9%1.922.752.93.951.472.4199.017624.4%5.8%2.493.105.05.981.1112.0
4Hunter Brown98.08332.1%7.6%1.742.692.94.649.869.6184.015730.0%7.8%2.453.034.86.578.9108.9
5Framber Valdez103.08424.6%8.9%2.883.052.53.236.753.2197.015824.4%8.4%3.113.254.45.165.292.6
6Jacob deGrom95.18225.9%5.5%2.083.032.44.043.158.6166.114626.8%5.9%2.543.274.05.667.590.2
7Kris Bubic91.06526.0%7.3%2.182.532.93.339.159.0170.08724.7%7.4%2.963.144.14.354.480.1
8Joe Ryan91.18329.1%5.6%2.863.222.12.735.148.1173.114728.0%5.6%3.173.483.64.159.178.7
9Nathan Eovaldi72.14326.7%4.3%1.872.392.33.032.749.6156.110724.9%5.5%2.823.133.84.354.978.7
10Carlos Rodón101.29529.7%8.5%2.923.501.92.538.750.1189.2151028.3%8.4%3.323.793.33.861.676.6
#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 Skubal102.09232.1%3.3%2.292.123.83.946.573.4197.017531.2%4.3%2.422.456.66.986.6131.5
2Garrett Crochet109.17431.3%7.2%2.062.543.44.450.274.0187.114831.2%7.2%2.502.765.56.579.1115.3
3Max Fried108.010224.5%4.9%1.922.752.93.951.472.4199.017624.4%5.8%2.493.105.05.981.1112.0
4Hunter Brown98.08332.1%7.6%1.742.692.94.649.869.6184.015730.0%7.8%2.453.034.86.578.9108.9
5Framber Valdez103.08424.6%8.9%2.883.052.53.236.753.2197.015824.4%8.4%3.113.254.45.165.292.6
6Jacob deGrom95.18225.9%5.5%2.083.032.44.043.158.6166.114626.8%5.9%2.543.274.05.667.590.2
7Kris Bubic91.06526.0%7.3%2.182.532.93.339.159.0170.08724.7%7.4%2.963.144.14.354.480.1
8Joe Ryan91.18329.1%5.6%2.863.222.12.735.148.1173.114728.0%5.6%3.173.483.64.159.178.7
9Nathan Eovaldi72.14326.7%4.3%1.872.392.33.032.749.6156.110724.9%5.5%2.823.133.84.354.978.7
10Carlos Rodón101.29529.7%8.5%2.923.501.92.538.750.1189.2151028.3%8.4%3.323.793.33.861.676.6
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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 Webb107.17527.7%5.3%2.522.253.43.242.769.6205.114925.6%5.4%2.852.695.65.273.2114.5
2Paul Skenes106.04726.9%7.1%2.122.503.44.243.066.6191.0111027.9%7.2%2.402.725.76.976.6114.5
3Zack Wheeler99.07332.9%6.5%2.552.673.03.641.161.2198.014730.6%6.5%2.773.045.46.276.1108.2
4Cristopher Sánchez93.26226.6%7.2%2.792.952.43.034.150.3179.213625.3%7.0%3.063.184.34.960.787.0
5Yoshinobu Yamamoto89.27628.4%8.7%2.613.242.02.835.948.5172.2131027.6%8.2%2.923.393.84.662.483.8
6Chris Sale89.15430.8%7.0%2.522.662.53.036.154.3146.19730.3%7.0%2.772.873.94.455.582.0
7Sonny Gray93.28226.9%4.5%3.362.962.42.029.946.0181.214725.5%5.5%3.523.314.03.452.776.8
8MacKenzie Gore99.03831.8%7.4%3.092.922.82.931.448.8182.091329.3%7.8%3.463.314.34.052.276.2
9Spencer Schwellenbach103.26423.5%4.2%3.213.411.92.230.443.0190.212823.6%5.1%3.353.533.43.954.575.0
10Robbie Ray92.18227.6%9.5%2.833.271.72.535.648.2171.114726.9%9.4%3.263.612.83.556.973.8
#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 Webb107.17527.7%5.3%2.522.253.43.242.769.6205.114925.6%5.4%2.852.695.65.273.2114.5
2Paul Skenes106.04726.9%7.1%2.122.503.44.243.066.6191.0111027.9%7.2%2.402.725.76.976.6114.5
3Zack Wheeler99.07332.9%6.5%2.552.673.03.641.161.2198.014730.6%6.5%2.773.045.46.276.1108.2
4Cristopher Sánchez93.26226.6%7.2%2.792.952.43.034.150.3179.213625.3%7.0%3.063.184.34.960.787.0
5Yoshinobu Yamamoto89.27628.4%8.7%2.613.242.02.835.948.5172.2131027.6%8.2%2.923.393.84.662.483.8
6Chris Sale89.15430.8%7.0%2.522.662.53.036.154.3146.19730.3%7.0%2.772.873.94.455.582.0
7Sonny Gray93.28226.9%4.5%3.362.962.42.029.946.0181.214725.5%5.5%3.523.314.03.452.776.8
8MacKenzie Gore99.03831.8%7.4%3.092.922.82.931.448.8182.091329.3%7.8%3.463.314.34.052.276.2
9Spencer Schwellenbach103.26423.5%4.2%3.213.411.92.230.443.0190.212823.6%5.1%3.353.533.43.954.575.0
10Robbie Ray92.18227.6%9.5%2.833.271.72.535.648.2171.114726.9%9.4%3.263.612.83.556.973.8
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