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 Skubal123.011330.0%4.5%2.342.513.84.255.182.3189.015629.3%4.8%2.672.635.55.775.5114.7
2Garrett Crochet107.06635.2%5.4%3.032.343.93.238.564.2165.011834.1%6.3%3.002.565.44.661.196.8
3Seth Lugo136.012422.5%5.5%2.383.223.25.356.275.5206.016821.9%5.8%2.883.424.26.471.496.2
4Corbin Burnes124.110423.4%5.8%2.393.442.64.250.765.3200.114724.1%6.3%2.883.374.25.569.594.7
5George Kirby123.17724.7%2.6%3.212.743.62.936.860.9192.1121024.1%3.0%3.282.875.24.256.891.6
6Cole Ragans122.17629.1%8.0%3.242.753.53.438.762.5189.1111027.9%8.2%3.382.994.94.856.588.2
7Logan Gilbert132.06524.8%5.0%2.793.362.63.943.560.2204.010824.1%5.3%3.043.413.85.262.387.1
8Tanner Houck123.08622.5%5.7%2.712.833.33.243.966.7185.0121022.9%6.2%3.163.084.44.257.186.4
9Luis Castillo124.081023.5%6.9%3.553.722.12.332.943.7194.0131424.1%7.0%3.523.653.53.453.271.5
10Tanner Bibee110.18427.8%6.6%3.593.352.32.031.745.8176.112726.5%6.9%3.633.483.43.148.468.5
#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 Skubal123.011330.0%4.5%2.342.513.84.255.182.3189.015629.3%4.8%2.672.635.55.775.5114.7
2Garrett Crochet107.06635.2%5.4%3.032.343.93.238.564.2165.011834.1%6.3%3.002.565.44.661.196.8
3Seth Lugo136.012422.5%5.5%2.383.223.25.356.275.5206.016821.9%5.8%2.883.424.26.471.496.2
4Corbin Burnes124.110423.4%5.8%2.393.442.64.250.765.3200.114724.1%6.3%2.883.374.25.569.594.7
5George Kirby123.17724.7%2.6%3.212.743.62.936.860.9192.1121024.1%3.0%3.282.875.24.256.891.6
6Cole Ragans122.17629.1%8.0%3.242.753.53.438.762.5189.1111027.9%8.2%3.382.994.94.856.588.2
7Logan Gilbert132.06524.8%5.0%2.793.362.63.943.560.2204.010824.1%5.3%3.043.413.85.262.387.1
8Tanner Houck123.08622.5%5.7%2.712.833.33.243.966.7185.0121022.9%6.2%3.163.084.44.257.186.4
9Luis Castillo124.081023.5%6.9%3.553.722.12.332.943.7194.0131424.1%7.0%3.523.653.53.453.271.5
10Tanner Bibee110.18427.8%6.6%3.593.352.32.031.745.8176.112726.5%6.9%3.633.483.43.148.468.5
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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
1Chris Sale110.013332.4%5.6%2.702.223.73.949.076.9175.019531.7%6.0%2.932.525.35.471.7110.1
2Zack Wheeler116.110427.0%7.5%2.713.292.93.745.761.3189.115726.2%7.3%3.093.314.75.164.889.8
3Logan Webb130.07820.7%6.0%3.602.922.82.331.253.9206.0131120.7%5.8%3.493.034.44.053.787.3
4Tyler Glasnow109.08533.6%6.8%3.472.753.12.534.856.0170.013732.9%7.0%3.392.894.43.956.286.5
5Ranger Suárez119.010524.1%5.6%2.872.993.23.443.163.2185.014823.2%6.2%3.163.174.34.759.186.4
6Reynaldo López101.17424.2%8.7%2.133.172.34.143.658.6163.112724.4%8.7%2.653.283.45.362.184.2
7Dylan Cease122.09832.5%7.6%3.763.102.92.034.953.9189.0141131.6%8.2%3.673.214.23.155.983.0
8Sonny Gray106.110630.7%5.6%3.562.882.71.634.253.3176.115927.9%6.1%3.473.193.83.155.180.8
9Michael King118.08627.5%8.8%3.283.572.32.337.549.7194.013928.3%8.8%3.393.583.63.559.979.6
10Shota Imanaga104.08225.5%4.0%2.863.242.52.737.852.3167.012425.5%4.8%3.133.273.83.955.077.8
#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
1Chris Sale110.013332.4%5.6%2.702.223.73.949.076.9175.019531.7%6.0%2.932.525.35.471.7110.1
2Zack Wheeler116.110427.0%7.5%2.713.292.93.745.761.3189.115726.2%7.3%3.093.314.75.164.889.8
3Logan Webb130.07820.7%6.0%3.602.922.82.331.253.9206.0131120.7%5.8%3.493.034.44.053.787.3
4Tyler Glasnow109.08533.6%6.8%3.472.753.12.534.856.0170.013732.9%7.0%3.392.894.43.956.286.5
5Ranger Suárez119.010524.1%5.6%2.872.993.23.443.163.2185.014823.2%6.2%3.163.174.34.759.186.4
6Reynaldo López101.17424.2%8.7%2.133.172.34.143.658.6163.112724.4%8.7%2.653.283.45.362.184.2
7Dylan Cease122.09832.5%7.6%3.763.102.92.034.953.9189.0141131.6%8.2%3.673.214.23.155.983.0
8Sonny Gray106.110630.7%5.6%3.562.882.71.634.253.3176.115927.9%6.1%3.473.193.83.155.180.8
9Michael King118.08627.5%8.8%3.283.572.32.337.549.7194.013928.3%8.8%3.393.583.63.559.979.6
10Shota Imanaga104.08225.5%4.0%2.863.242.52.737.852.3167.012425.5%4.8%3.133.273.83.955.077.8
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