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%2.292.113.83.846.573.6202.017630.9%4.1%2.502.426.96.786.3133.0
2Garrett Crochet109.17431.3%7.2%2.062.523.44.350.274.2192.113831.3%7.4%2.432.665.86.681.3120.5
3Max Fried108.010224.5%4.9%1.922.743.03.951.472.5203.017623.8%5.6%2.533.115.05.980.9112.3
4Hunter Brown91.08331.6%8.1%1.882.842.54.045.462.2181.014828.9%8.2%2.693.244.45.771.396.7
5Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7170.113527.4%5.4%2.593.114.45.667.493.7
6Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4202.015923.7%8.6%3.123.314.45.265.692.2
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1176.011925.0%7.6%2.863.044.44.761.189.7
8Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7154.19725.2%5.0%2.743.063.84.554.879.4
9Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2190.2151028.6%8.3%3.403.673.53.660.478.0
10Joe Ryan91.18329.1%5.6%2.863.202.12.735.148.2176.114828.1%5.7%3.273.483.94.158.078.0
#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%2.292.113.83.846.573.6202.017630.9%4.1%2.502.426.96.786.3133.0
2Garrett Crochet109.17431.3%7.2%2.062.523.44.350.274.2192.113831.3%7.4%2.432.665.86.681.3120.5
3Max Fried108.010224.5%4.9%1.922.743.03.951.472.5203.017623.8%5.6%2.533.115.05.980.9112.3
4Hunter Brown91.08331.6%8.1%1.882.842.54.045.462.2181.014828.9%8.2%2.693.244.45.771.396.7
5Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7170.113527.4%5.4%2.593.114.45.667.493.7
6Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4202.015923.7%8.6%3.123.314.45.265.692.2
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1176.011925.0%7.6%2.863.044.44.761.189.7
8Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7154.19725.2%5.0%2.743.063.84.554.879.4
9Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2190.2151028.6%8.3%3.403.673.53.660.478.0
10Joe Ryan91.18329.1%5.6%2.863.202.12.735.148.2176.114828.1%5.7%3.273.483.94.158.078.0
of 19
Page Size:
1 - 10 of 181 results
of 19
Page Size:
1 - 10 of 181 results

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%2.522.233.43.242.769.7209.1141025.1%5.4%2.842.645.75.474.2117.5
2Paul Skenes106.04726.9%7.1%2.122.493.44.243.066.7194.0101127.6%7.2%2.552.785.86.673.2110.3
3Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3201.014730.2%6.5%2.873.005.76.174.5107.9
4Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6174.2141027.4%7.8%3.043.323.94.461.584.4
5Chris Sale89.15430.8%7.0%2.522.652.53.036.154.5147.19630.5%6.9%2.752.864.04.656.283.0
6MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9184.081329.6%7.9%3.333.274.54.454.679.8
7Cristopher Sánchez87.26225.3%7.7%2.873.142.02.731.044.3177.212623.7%7.2%3.193.403.74.455.377.1
8Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1197.212823.6%4.6%3.413.503.63.954.676.7
9Robbie Ray92.18227.6%9.5%2.833.261.72.535.648.3174.113727.0%8.9%3.253.572.83.656.774.6
10Ranger Suárez65.06223.0%6.3%2.082.841.92.829.441.4152.012622.2%6.8%2.903.273.64.452.873.7
#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
1Logan Webb107.17527.7%5.3%2.522.233.43.242.769.7209.1141025.1%5.4%2.842.645.75.474.2117.5
2Paul Skenes106.04726.9%7.1%2.122.493.44.243.066.7194.0101127.6%7.2%2.552.785.86.673.2110.3
3Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3201.014730.2%6.5%2.873.005.76.174.5107.9
4Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6174.2141027.4%7.8%3.043.323.94.461.584.4
5Chris Sale89.15430.8%7.0%2.522.652.53.036.154.5147.19630.5%6.9%2.752.864.04.656.283.0
6MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9184.081329.6%7.9%3.333.274.54.454.679.8
7Cristopher Sánchez87.26225.3%7.7%2.873.142.02.731.044.3177.212623.7%7.2%3.193.403.74.455.377.1
8Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1197.212823.6%4.6%3.413.503.63.954.676.7
9Robbie Ray92.18227.6%9.5%2.833.261.72.535.648.3174.113727.0%8.9%3.253.572.83.656.774.6
10Ranger Suárez65.06223.0%6.3%2.082.841.92.829.441.4152.012622.2%6.8%2.903.273.64.452.873.7
of 19
Page Size:
1 - 10 of 182 results
of 19
Page Size:
1 - 10 of 182 results