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 Skubal36.14029.7%4.3%1.742.171.21.419.228.6165.112728.3%5.7%2.942.824.33.959.490.2
2Luis Castillo41.13428.7%4.7%3.502.921.10.612.519.7198.1141226.4%6.5%3.413.284.03.159.786.6
3Corbin Burnes41.03125.8%5.7%2.633.700.71.215.619.3200.013826.1%7.0%3.373.463.63.659.382.4
4George Kirby32.03228.4%3.0%4.212.051.20.37.816.6185.0141024.3%3.8%3.553.074.12.651.981.4
5Logan Gilbert40.02029.3%6.0%2.033.240.81.617.423.0195.011825.0%6.1%3.283.513.03.657.378.8
6Framber Valdez17.01023.5%8.8%2.632.670.40.66.29.6166.012623.0%8.1%3.253.372.93.351.071.8
7Joe Ryan34.11129.5%3.6%3.422.791.00.49.215.7177.110927.7%5.7%3.663.393.42.346.768.6
8Pablo López31.12229.4%5.6%4.903.940.40.04.36.2185.1111027.5%6.3%3.793.463.32.446.568.0
9Zach Eflin41.01421.1%2.3%4.173.650.60.36.110.0184.0111122.7%3.6%3.673.413.12.345.267.4
10Cole Ragans36.12228.9%8.2%3.482.121.30.810.720.3167.110926.0%9.1%3.663.333.33.044.265.9
#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 Skubal36.14029.7%4.3%1.742.171.21.419.228.6165.112728.3%5.7%2.942.824.33.959.490.2
2Luis Castillo41.13428.7%4.7%3.502.921.10.612.519.7198.1141226.4%6.5%3.413.284.03.159.786.6
3Corbin Burnes41.03125.8%5.7%2.633.700.71.215.619.3200.013826.1%7.0%3.373.463.63.659.382.4
4George Kirby32.03228.4%3.0%4.212.051.20.37.816.6185.0141024.3%3.8%3.553.074.12.651.981.4
5Logan Gilbert40.02029.3%6.0%2.033.240.81.617.423.0195.011825.0%6.1%3.283.513.03.657.378.8
6Framber Valdez17.01023.5%8.8%2.632.670.40.66.29.6166.012623.0%8.1%3.253.372.93.351.071.8
7Joe Ryan34.11129.5%3.6%3.422.791.00.49.215.7177.110927.7%5.7%3.663.393.42.346.768.6
8Pablo López31.12229.4%5.6%4.903.940.40.04.36.2185.1111027.5%6.3%3.793.463.32.446.568.0
9Zach Eflin41.01421.1%2.3%4.173.650.60.36.110.0184.0111122.7%3.6%3.673.413.12.345.267.4
10Cole Ragans36.12228.9%8.2%3.482.121.30.810.720.3167.110926.0%9.1%3.663.333.33.044.265.9
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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
1Zack Wheeler42.03330.6%7.1%1.922.591.41.620.229.2199.0141026.2%6.5%3.123.165.14.965.995.5
2Logan Webb42.03217.1%5.7%2.992.800.91.213.021.0205.0141019.8%5.4%3.333.153.84.257.488.2
3Tyler Glasnow43.05131.5%7.1%2.722.721.21.418.827.3168.015631.1%7.5%3.213.113.84.060.286.2
4Shota Imanaga34.15026.5%3.0%0.792.201.21.922.631.3171.114725.5%5.7%3.053.203.94.559.584.2
5Yoshinobu Yamamoto34.03130.0%5.7%2.912.611.00.913.220.3176.014727.0%5.9%3.483.313.63.353.376.5
6Dylan Cease35.13228.8%10.1%2.812.801.00.813.620.3173.112928.6%9.9%3.433.363.33.053.375.3
7Sonny Gray23.03136.0%4.5%1.171.451.10.914.822.6165.012724.8%7.0%3.163.333.33.653.574.9
8Ranger Suárez41.05027.8%3.5%1.322.581.32.423.532.3174.013722.4%7.0%3.213.533.34.653.972.7
9Max Fried31.02019.4%8.5%4.053.520.50.56.19.4176.013621.7%6.9%3.533.403.03.548.169.6
10Chris Sale36.14129.0%4.8%3.483.000.80.912.318.3159.113629.2%6.3%3.563.333.13.348.769.4
#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
1Zack Wheeler42.03330.6%7.1%1.922.591.41.620.229.2199.0141026.2%6.5%3.123.165.14.965.995.5
2Logan Webb42.03217.1%5.7%2.992.800.91.213.021.0205.0141019.8%5.4%3.333.153.84.257.488.2
3Tyler Glasnow43.05131.5%7.1%2.722.721.21.418.827.3168.015631.1%7.5%3.213.113.84.060.286.2
4Shota Imanaga34.15026.5%3.0%0.792.201.21.922.631.3171.114725.5%5.7%3.053.203.94.559.584.2
5Yoshinobu Yamamoto34.03130.0%5.7%2.912.611.00.913.220.3176.014727.0%5.9%3.483.313.63.353.376.5
6Dylan Cease35.13228.8%10.1%2.812.801.00.813.620.3173.112928.6%9.9%3.433.363.33.053.375.3
7Sonny Gray23.03136.0%4.5%1.171.451.10.914.822.6165.012724.8%7.0%3.163.333.33.653.574.9
8Ranger Suárez41.05027.8%3.5%1.322.581.32.423.532.3174.013722.4%7.0%3.213.533.34.653.972.7
9Max Fried31.02019.4%8.5%4.053.520.50.56.19.4176.013621.7%6.9%3.533.403.03.548.169.6
10Chris Sale36.14129.0%4.8%3.483.000.80.912.318.3159.113629.2%6.3%3.563.333.13.348.769.4
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