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 Skubal34.23228.8%3.6%2.342.421.21.315.323.4189.2141029.3%5.3%2.892.865.85.270.0104.7
2Garrett Crochet44.03228.6%10.3%2.052.631.31.520.029.2198.014928.7%8.4%3.323.304.74.063.389.7
3Hunter Brown37.04129.9%5.2%1.221.841.51.921.532.4181.014826.3%7.7%3.183.284.44.359.784.3
4Cole Ragans30.21135.9%7.0%4.402.750.90.35.911.9182.212830.0%8.8%3.703.364.43.051.174.2
5Max Fried37.25021.0%5.7%1.432.970.91.321.127.5181.215721.5%7.4%3.223.673.33.857.073.7
6Logan Gilbert30.11137.6%5.1%2.372.161.01.012.620.5141.19729.7%5.3%3.313.273.53.144.463.6
7Joe Ryan34.02229.1%3.0%3.183.490.70.910.914.7166.011927.8%4.9%3.693.743.52.944.658.6
8Framber Valdez36.01320.9%8.8%4.003.690.60.66.19.3178.0111022.6%8.1%3.743.693.22.942.758.6
9Pablo López21.22122.5%4.5%2.082.990.60.59.813.5168.211923.8%5.8%3.793.643.32.341.057.1
10Jacob deGrom33.01125.6%5.4%2.733.780.61.010.813.5149.09727.4%6.4%3.503.663.03.041.955.8
#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
1Tarik Skubal34.23228.8%3.6%2.342.421.21.315.323.4189.2141029.3%5.3%2.892.865.85.270.0104.7
2Garrett Crochet44.03228.6%10.3%2.052.631.31.520.029.2198.014928.7%8.4%3.323.304.74.063.389.7
3Hunter Brown37.04129.9%5.2%1.221.841.51.921.532.4181.014826.3%7.7%3.183.284.44.359.784.3
4Cole Ragans30.21135.9%7.0%4.402.750.90.35.911.9182.212830.0%8.8%3.703.364.43.051.174.2
5Max Fried37.25021.0%5.7%1.432.970.91.321.127.5181.215721.5%7.4%3.223.673.33.857.073.7
6Logan Gilbert30.11137.6%5.1%2.372.161.01.012.620.5141.19729.7%5.3%3.313.273.53.144.463.6
7Joe Ryan34.02229.1%3.0%3.183.490.70.910.914.7166.011927.8%4.9%3.693.743.52.944.658.6
8Framber Valdez36.01320.9%8.8%4.003.690.60.66.19.3178.0111022.6%8.1%3.743.693.22.942.758.6
9Pablo López21.22122.5%4.5%2.082.990.60.59.813.5168.211923.8%5.8%3.793.643.32.341.057.1
10Jacob deGrom33.01125.6%5.4%2.733.780.61.010.813.5149.09727.4%6.4%3.503.663.03.041.955.8
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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
1Paul Skenes37.23227.5%2.8%2.391.751.61.215.727.2193.214927.7%6.1%2.932.736.15.269.2107.3
2Logan Webb41.13229.9%6.6%2.831.771.51.115.728.2205.1151023.6%5.6%3.202.775.94.664.4103.9
3Yoshinobu Yamamoto34.03232.6%8.3%1.062.291.21.620.328.7163.013827.6%7.0%2.932.894.54.259.788.9
4Zack Wheeler44.02132.8%5.2%3.483.311.01.112.718.5212.014927.9%6.4%3.483.474.94.361.986.1
5Michael King33.03129.6%8.1%2.182.931.01.215.521.3182.013927.3%8.1%3.363.464.23.856.577.5
6Freddy Peralta39.13225.6%8.8%2.523.790.71.415.818.9187.1131026.9%8.7%3.513.883.43.854.567.3
7Spencer Schwellenbach37.21222.0%4.0%2.873.270.71.011.116.3177.211923.0%5.2%3.603.493.73.045.565.4
8MacKenzie Gore41.02335.8%5.5%3.512.521.30.912.421.4196.0111228.6%8.2%4.043.544.02.544.565.3
9Nick Pivetta35.15129.3%6.0%1.782.291.31.619.628.3171.114927.2%7.2%3.683.723.43.248.763.6
10Chris Sale28.11227.3%6.8%5.403.640.50.01.84.5185.112927.4%7.0%4.133.464.02.141.362.6
#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
1Paul Skenes37.23227.5%2.8%2.391.751.61.215.727.2193.214927.7%6.1%2.932.736.15.269.2107.3
2Logan Webb41.13229.9%6.6%2.831.771.51.115.728.2205.1151023.6%5.6%3.202.775.94.664.4103.9
3Yoshinobu Yamamoto34.03232.6%8.3%1.062.291.21.620.328.7163.013827.6%7.0%2.932.894.54.259.788.9
4Zack Wheeler44.02132.8%5.2%3.483.311.01.112.718.5212.014927.9%6.4%3.483.474.94.361.986.1
5Michael King33.03129.6%8.1%2.182.931.01.215.521.3182.013927.3%8.1%3.363.464.23.856.577.5
6Freddy Peralta39.13225.6%8.8%2.523.790.71.415.818.9187.1131026.9%8.7%3.513.883.43.854.567.3
7Spencer Schwellenbach37.21222.0%4.0%2.873.270.71.011.116.3177.211923.0%5.2%3.603.493.73.045.565.4
8MacKenzie Gore41.02335.8%5.5%3.512.521.30.912.421.4196.0111228.6%8.2%4.043.544.02.544.565.3
9Nick Pivetta35.15129.3%6.0%1.782.291.31.619.628.3171.114927.2%7.2%3.683.723.43.248.763.6
10Chris Sale28.11227.3%6.8%5.403.640.50.01.84.5185.112927.4%7.0%4.133.464.02.141.362.6
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