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%2.292.113.83.846.573.6201.017630.6%4.4%2.602.506.76.583.4128.1
2Garrett Crochet109.17431.3%7.2%2.062.533.44.350.274.2190.113831.3%7.4%2.552.765.56.378.0114.8
3Max Fried108.010224.5%4.9%1.922.742.93.951.472.5204.017623.6%6.0%2.603.154.95.879.4110.0
4Hunter Brown98.08332.1%7.6%1.742.682.94.649.869.7188.015829.0%7.9%2.633.154.75.975.6103.8
5Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7171.113527.7%5.6%2.573.124.35.668.194.3
6Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4201.015924.0%8.3%3.133.314.35.165.291.8
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1174.011924.5%7.5%3.003.154.24.357.683.7
8Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7157.110725.2%5.1%2.803.163.74.455.578.9
9Joe Ryan91.18329.1%5.6%2.863.212.12.735.148.2177.113828.3%5.4%3.303.493.83.956.676.5
10Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2191.2161128.7%8.5%3.473.823.23.460.074.4
#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%2.292.113.83.846.573.6201.017630.6%4.4%2.602.506.76.583.4128.1
2Garrett Crochet109.17431.3%7.2%2.062.533.44.350.274.2190.113831.3%7.4%2.552.765.56.378.0114.8
3Max Fried108.010224.5%4.9%1.922.742.93.951.472.5204.017623.6%6.0%2.603.154.95.879.4110.0
4Hunter Brown98.08332.1%7.6%1.742.682.94.649.869.7188.015829.0%7.9%2.633.154.75.975.6103.8
5Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7171.113527.7%5.6%2.573.124.35.668.194.3
6Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4201.015924.0%8.3%3.133.314.35.165.291.8
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1174.011924.5%7.5%3.003.154.24.357.683.7
8Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7157.110725.2%5.1%2.803.163.74.455.578.9
9Joe Ryan91.18329.1%5.6%2.863.212.12.735.148.2177.113828.3%5.4%3.303.493.83.956.676.5
10Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2191.2161128.7%8.5%3.473.823.23.460.074.4
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%2.522.243.43.242.769.7211.1141024.7%5.5%2.942.685.75.371.9114.5
2Paul Skenes106.04726.9%7.1%2.122.493.44.243.066.7197.0101127.9%6.9%2.512.716.06.875.1114.2
3Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3202.014729.9%6.4%2.943.075.55.972.8104.8
4Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6174.2141027.5%7.7%2.943.224.14.663.688.5
5Chris Sale89.15430.8%7.0%2.522.652.53.036.154.4147.19730.3%6.8%2.812.873.94.555.081.7
6Cristopher Sánchez93.26226.6%7.2%2.792.942.43.034.150.4180.211624.2%7.0%3.143.264.04.656.481.4
7MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9186.081329.4%8.1%3.393.304.34.353.678.4
8Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1194.212823.6%4.7%3.423.473.53.853.775.9
9Kodai Senga73.27323.9%10.6%1.473.181.73.438.849.6138.212624.6%10.4%2.533.542.64.356.371.1
10Freddy Peralta93.08425.5%8.8%2.903.901.62.834.340.5182.014926.5%8.8%3.313.933.14.257.969.4
#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%2.522.243.43.242.769.7211.1141024.7%5.5%2.942.685.75.371.9114.5
2Paul Skenes106.04726.9%7.1%2.122.493.44.243.066.7197.0101127.9%6.9%2.512.716.06.875.1114.2
3Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3202.014729.9%6.4%2.943.075.55.972.8104.8
4Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6174.2141027.5%7.7%2.943.224.14.663.688.5
5Chris Sale89.15430.8%7.0%2.522.652.53.036.154.4147.19730.3%6.8%2.812.873.94.555.081.7
6Cristopher Sánchez93.26226.6%7.2%2.792.942.43.034.150.4180.211624.2%7.0%3.143.264.04.656.481.4
7MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9186.081329.4%8.1%3.393.304.34.353.678.4
8Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1194.212823.6%4.7%3.423.473.53.853.775.9
9Kodai Senga73.27323.9%10.6%1.473.181.73.438.849.6138.212624.6%10.4%2.533.542.64.356.371.1
10Freddy Peralta93.08425.5%8.8%2.903.901.62.834.340.5182.014926.5%8.8%3.313.933.14.257.969.4
of 19
Page Size:
1 - 10 of 181 results
of 19
Page Size:
1 - 10 of 181 results