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 Skubal40.23230.0%3.1%2.212.471.31.518.127.3189.215829.3%4.2%2.662.526.25.675.9117.7
2Max Fried51.26022.6%5.3%1.052.911.32.230.539.6194.217622.2%6.4%2.733.294.35.173.099.2
3Garrett Crochet49.03228.6%10.2%2.022.841.31.722.131.1162.013629.9%9.0%2.722.734.74.765.096.9
4Hunter Brown43.05131.0%6.3%1.671.831.82.023.436.2172.015726.4%7.7%3.033.094.54.261.588.5
5Pablo López33.03228.5%3.8%2.182.111.20.915.224.0167.0131026.3%5.5%3.453.174.02.850.675.2
6Nathan Eovaldi48.23228.5%2.2%2.032.221.61.721.634.0177.211924.7%4.7%3.443.313.83.349.573.1
7Cole Ragans35.22138.5%7.4%3.792.381.20.610.518.9165.210730.2%8.3%3.643.174.02.946.871.4
8Kris Bubic48.04224.2%7.2%1.692.691.42.023.733.4147.010723.7%7.8%3.123.253.03.347.167.4
9Logan Gilbert30.11137.6%5.1%2.372.181.01.012.620.4139.18528.6%5.7%3.103.123.12.945.767.1
10Framber Valdez48.02422.4%8.7%3.943.810.70.89.413.1189.0131122.3%8.4%3.573.812.93.350.064.4
#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 Skubal40.23230.0%3.1%2.212.471.31.518.127.3189.215829.3%4.2%2.662.526.25.675.9117.7
2Max Fried51.26022.6%5.3%1.052.911.32.230.539.6194.217622.2%6.4%2.733.294.35.173.099.2
3Garrett Crochet49.03228.6%10.2%2.022.841.31.722.131.1162.013629.9%9.0%2.722.734.74.765.096.9
4Hunter Brown43.05131.0%6.3%1.671.831.82.023.436.2172.015726.4%7.7%3.033.094.54.261.588.5
5Pablo López33.03228.5%3.8%2.182.111.20.915.224.0167.0131026.3%5.5%3.453.174.02.850.675.2
6Nathan Eovaldi48.23228.5%2.2%2.032.221.61.721.634.0177.211924.7%4.7%3.443.313.83.349.573.1
7Cole Ragans35.22138.5%7.4%3.792.381.20.610.518.9165.210730.2%8.3%3.643.174.02.946.871.4
8Kris Bubic48.04224.2%7.2%1.692.691.42.023.733.4147.010723.7%7.8%3.123.253.03.347.167.4
9Logan Gilbert30.11137.6%5.1%2.372.181.01.012.620.4139.18528.6%5.7%3.103.123.12.945.767.1
10Framber Valdez48.02422.4%8.7%3.943.810.70.89.413.1189.0131122.3%8.4%3.573.812.93.350.064.4
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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 Webb48.14228.7%6.7%2.611.861.81.519.833.9200.116823.5%5.7%2.972.715.45.369.4109.2
2Zack Wheeler51.03133.3%4.5%3.353.201.21.416.123.4207.013728.3%5.8%3.353.275.04.763.191.4
3Yoshinobu Yamamoto45.04330.3%8.0%1.802.911.21.722.830.8170.014827.6%6.4%3.023.114.14.260.686.9
4Chris Sale42.01330.3%5.9%4.073.061.00.68.615.3177.011829.9%6.3%3.363.074.24.055.783.8
5Michael King44.24127.0%7.9%2.223.201.21.720.126.6180.214726.3%8.4%3.093.463.94.462.082.9
6Clay Holmes36.24125.0%8.3%2.952.211.30.814.223.6167.216822.2%7.7%3.332.944.13.253.782.8
7Paul Skenes48.23424.7%6.3%2.773.041.21.417.024.9172.211927.0%6.7%3.183.144.14.355.281.3
8Kodai Senga38.24223.0%11.2%1.163.030.91.921.828.2158.213824.4%10.6%2.893.523.04.157.474.7
9Hunter Greene45.24234.7%4.5%2.363.081.31.920.928.1171.211830.5%7.0%3.363.514.14.353.672.5
10Nick Pivetta40.15128.4%7.7%2.012.781.21.620.628.3168.114828.5%7.5%3.373.603.23.454.671.4
#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 Webb48.14228.7%6.7%2.611.861.81.519.833.9200.116823.5%5.7%2.972.715.45.369.4109.2
2Zack Wheeler51.03133.3%4.5%3.353.201.21.416.123.4207.013728.3%5.8%3.353.275.04.763.191.4
3Yoshinobu Yamamoto45.04330.3%8.0%1.802.911.21.722.830.8170.014827.6%6.4%3.023.114.14.260.686.9
4Chris Sale42.01330.3%5.9%4.073.061.00.68.615.3177.011829.9%6.3%3.363.074.24.055.783.8
5Michael King44.24127.0%7.9%2.223.201.21.720.126.6180.214726.3%8.4%3.093.463.94.462.082.9
6Clay Holmes36.24125.0%8.3%2.952.211.30.814.223.6167.216822.2%7.7%3.332.944.13.253.782.8
7Paul Skenes48.23424.7%6.3%2.773.041.21.417.024.9172.211927.0%6.7%3.183.144.14.355.281.3
8Kodai Senga38.24223.0%11.2%1.163.030.91.921.828.2158.213824.4%10.6%2.893.523.04.157.474.7
9Hunter Greene45.24234.7%4.5%2.363.081.31.920.928.1171.211830.5%7.0%3.363.514.14.353.672.5
10Nick Pivetta40.15128.4%7.7%2.012.781.21.620.628.3168.114828.5%7.5%3.373.603.23.454.671.4
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