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%2.292.113.83.846.573.6194.016631.3%4.2%2.552.466.76.581.6125.6
2Garrett Crochet109.17431.3%7.2%2.062.533.44.350.274.2200.114830.4%7.1%2.702.865.76.178.6115.0
3Max Fried108.010224.5%4.9%1.922.742.93.951.472.5203.017623.9%6.1%2.573.165.06.080.0110.3
4Hunter Brown98.08332.1%7.6%1.742.682.94.649.869.7185.014729.9%7.9%2.633.114.86.174.3102.8
5Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7169.114626.7%5.9%2.663.314.15.566.388.7
6Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4189.014824.2%8.5%3.243.334.14.759.283.9
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1163.011925.3%7.6%2.933.094.34.256.582.1
8Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7155.110725.4%5.6%2.843.283.74.454.575.5
9Joe Ryan91.18329.1%5.6%2.863.212.12.735.148.2175.113828.3%5.6%3.343.513.94.055.474.6
10Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2194.2151028.0%8.6%3.613.913.23.456.569.3
#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 Skubal102.09232.1%3.3%2.292.113.83.846.573.6194.016631.3%4.2%2.552.466.76.581.6125.6
2Garrett Crochet109.17431.3%7.2%2.062.533.44.350.274.2200.114830.4%7.1%2.702.865.76.178.6115.0
3Max Fried108.010224.5%4.9%1.922.742.93.951.472.5203.017623.9%6.1%2.573.165.06.080.0110.3
4Hunter Brown98.08332.1%7.6%1.742.682.94.649.869.7185.014729.9%7.9%2.633.114.86.174.3102.8
5Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7169.114626.7%5.9%2.663.314.15.566.388.7
6Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4189.014824.2%8.5%3.243.334.14.759.283.9
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1163.011925.3%7.6%2.933.094.34.256.582.1
8Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7155.110725.4%5.6%2.843.283.74.454.575.5
9Joe Ryan91.18329.1%5.6%2.863.212.12.735.148.2175.113828.3%5.6%3.343.513.94.055.474.6
10Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2194.2151028.0%8.6%3.613.913.23.456.569.3
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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 Webb107.17527.7%5.3%2.522.243.43.242.769.7206.1141025.1%5.4%2.922.666.05.371.2113.3
2Paul Skenes106.04726.9%7.1%2.122.493.44.243.066.7195.0111127.1%7.0%2.582.735.96.473.4111.7
3Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3196.014730.6%6.7%2.943.035.55.671.7103.7
4Chris Sale89.15430.8%7.0%2.522.652.53.036.154.4151.110630.7%7.1%2.912.834.24.355.883.9
5Cristopher Sánchez93.26226.6%7.2%2.792.942.43.034.150.4180.213724.7%7.1%3.243.234.14.456.882.4
6Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6170.214926.9%7.9%3.113.413.84.258.979.6
7Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1195.213823.4%4.7%3.453.523.93.754.275.4
8MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9188.081429.3%8.0%3.593.344.53.950.074.2
9Robbie Ray92.18227.6%9.5%2.833.261.72.435.648.3179.113726.9%9.4%3.613.743.03.150.865.9
10Kodai Senga73.27323.9%10.6%1.473.181.73.438.849.6136.211623.8%10.5%2.703.712.64.151.763.8
#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%2.522.243.43.242.769.7206.1141025.1%5.4%2.922.666.05.371.2113.3
2Paul Skenes106.04726.9%7.1%2.122.493.44.243.066.7195.0111127.1%7.0%2.582.735.96.473.4111.7
3Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3196.014730.6%6.7%2.943.035.55.671.7103.7
4Chris Sale89.15430.8%7.0%2.522.652.53.036.154.4151.110630.7%7.1%2.912.834.24.355.883.9
5Cristopher Sánchez93.26226.6%7.2%2.792.942.43.034.150.4180.213724.7%7.1%3.243.234.14.456.882.4
6Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6170.214926.9%7.9%3.113.413.84.258.979.6
7Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1195.213823.4%4.7%3.453.523.93.754.275.4
8MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9188.081429.3%8.0%3.593.344.53.950.074.2
9Robbie Ray92.18227.6%9.5%2.833.261.72.435.648.3179.113726.9%9.4%3.613.743.03.150.865.9
10Kodai Senga73.27323.9%10.6%1.473.181.73.438.849.6136.211623.8%10.5%2.703.712.64.151.763.8
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