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 Skubal133.210333.8%3.8%2.091.935.45.662.9101.2198.215532.7%4.2%2.272.217.67.689.3140.0
2Garrett Crochet141.112431.0%6.7%2.232.534.55.565.296.1197.116631.0%6.9%2.422.646.27.186.3126.9
3Framber Valdez134.011426.0%8.1%2.622.863.64.753.177.5199.016725.2%8.1%2.803.085.06.173.9105.3
4Max Fried134.012423.1%5.9%2.623.073.23.152.573.8197.017722.8%6.1%2.833.264.54.571.898.9
5Hunter Brown124.09530.8%7.9%2.542.963.34.550.972.1183.013829.4%8.0%2.853.164.65.667.995.2
6Jacob deGrom123.210327.3%5.5%2.553.352.84.449.865.6176.214527.9%5.4%2.803.354.25.666.689.1
7Nathan Eovaldi96.08327.4%4.9%1.502.393.14.550.172.7152.012626.1%5.3%2.312.814.25.464.793.2
8Joe Ryan121.110528.9%5.1%2.823.182.93.646.464.2182.114828.4%5.3%3.113.334.34.762.786.5
9Carlos Rodón130.011727.9%8.9%3.183.812.02.644.754.7190.0151127.7%8.6%3.463.903.03.358.571.1
10Bryan Woo126.28524.3%4.8%2.913.462.63.242.457.0180.211824.1%4.9%3.143.573.53.955.674.3
#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 Skubal133.210333.8%3.8%2.091.935.45.662.9101.2198.215532.7%4.2%2.272.217.67.689.3140.0
2Garrett Crochet141.112431.0%6.7%2.232.534.55.565.296.1197.116631.0%6.9%2.422.646.27.186.3126.9
3Framber Valdez134.011426.0%8.1%2.622.863.64.753.177.5199.016725.2%8.1%2.803.085.06.173.9105.3
4Max Fried134.012423.1%5.9%2.623.073.23.152.573.8197.017722.8%6.1%2.833.264.54.571.898.9
5Hunter Brown124.09530.8%7.9%2.542.963.34.550.972.1183.013829.4%8.0%2.853.164.65.667.995.2
6Jacob deGrom123.210327.3%5.5%2.553.352.84.449.865.6176.214527.9%5.4%2.803.354.25.666.689.1
7Nathan Eovaldi96.08327.4%4.9%1.502.393.14.550.172.7152.012626.1%5.3%2.312.814.25.464.793.2
8Joe Ryan121.110528.9%5.1%2.823.182.93.646.464.2182.114828.4%5.3%3.113.334.34.762.786.5
9Carlos Rodón130.011727.9%8.9%3.183.812.02.644.754.7190.0151127.7%8.6%3.463.903.03.358.571.1
10Bryan Woo126.28524.3%4.8%2.913.462.63.242.457.0180.211824.1%4.9%3.143.573.53.955.674.3
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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
1Paul Skenes133.06828.3%6.2%1.832.344.56.060.192.0192.0101128.5%6.4%2.202.556.27.780.5122.2
2Zack Wheeler133.29433.3%5.4%2.562.694.04.855.081.9202.214731.4%5.7%2.752.885.96.678.3114.9
3Cristopher Sánchez130.29326.3%6.2%2.552.863.54.851.275.1192.213625.2%6.4%2.803.094.86.169.199.2
4Yoshinobu Yamamoto116.19728.7%8.4%2.482.983.23.648.568.1172.113928.0%7.9%2.773.134.64.865.691.8
5Matthew Boyd123.211422.4%5.9%2.473.302.84.049.866.4181.215722.6%6.2%2.873.513.85.064.384.3
6Freddy Peralta121.212426.1%8.4%2.813.672.33.847.959.2179.216726.3%8.5%3.163.813.34.762.476.2
7Nick Pivetta121.210327.2%6.6%2.813.173.03.445.963.9180.214627.3%6.9%3.143.454.04.461.182.1
8Logan Webb135.29825.6%5.3%3.382.663.42.540.268.0202.2141124.5%5.4%3.332.844.93.960.998.4
9Robbie Ray129.09525.5%9.9%2.933.761.63.444.955.5186.012825.5%9.5%3.243.892.24.157.670.2
10Andrew Abbott103.18122.8%6.7%2.093.482.54.145.256.9157.111422.7%7.2%2.863.883.34.754.465.1
#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
1Paul Skenes133.06828.3%6.2%1.832.344.56.060.192.0192.0101128.5%6.4%2.202.556.27.780.5122.2
2Zack Wheeler133.29433.3%5.4%2.562.694.04.855.081.9202.214731.4%5.7%2.752.885.96.678.3114.9
3Cristopher Sánchez130.29326.3%6.2%2.552.863.54.851.275.1192.213625.2%6.4%2.803.094.86.169.199.2
4Yoshinobu Yamamoto116.19728.7%8.4%2.482.983.23.648.568.1172.113928.0%7.9%2.773.134.64.865.691.8
5Matthew Boyd123.211422.4%5.9%2.473.302.84.049.866.4181.215722.6%6.2%2.873.513.85.064.384.3
6Freddy Peralta121.212426.1%8.4%2.813.672.33.847.959.2179.216726.3%8.5%3.163.813.34.762.476.2
7Nick Pivetta121.210327.2%6.6%2.813.173.03.445.963.9180.214627.3%6.9%3.143.454.04.461.182.1
8Logan Webb135.29825.6%5.3%3.382.663.42.540.268.0202.2141124.5%5.4%3.332.844.93.960.998.4
9Robbie Ray129.09525.5%9.9%2.933.761.63.444.955.5186.012825.5%9.5%3.243.892.24.157.670.2
10Andrew Abbott103.18122.8%6.7%2.093.482.54.145.256.9157.111422.7%7.2%2.863.883.34.754.465.1
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