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 Skubal145.111333.8%3.8%2.352.125.55.564.4102.8195.115532.9%4.1%2.442.337.06.984.5131.6
2Garrett Crochet152.113530.8%6.5%2.482.534.95.466.099.2198.116730.8%6.7%2.592.636.26.782.7123.9
3Hunter Brown136.19530.1%7.5%2.512.893.95.055.279.5184.112829.1%7.7%2.783.084.95.968.597.6
4Nathan Eovaldi116.010325.6%4.7%1.712.763.35.157.479.8162.013625.0%5.2%2.223.024.35.969.996.5
5Framber Valdez145.211524.4%8.2%2.972.963.84.350.375.2198.214824.1%8.1%3.083.104.95.464.995.9
6Max Fried144.012522.8%6.1%2.943.163.32.950.571.9194.015722.7%6.2%3.063.314.33.864.289.9
7Joe Ryan132.111528.2%4.8%2.793.193.34.150.870.1180.114827.9%5.0%3.043.354.34.963.286.2
8Jacob deGrom135.110527.2%5.7%2.863.532.84.249.063.6178.113727.8%5.6%2.983.454.05.262.683.4
9Bryan Woo146.010625.3%4.5%3.083.672.63.447.560.9193.013924.9%4.7%3.223.713.44.159.676.5
10Carlos Rodón146.212727.6%9.7%3.253.842.22.948.759.5194.2151027.4%9.4%3.423.923.03.560.272.9
#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 Skubal145.111333.8%3.8%2.352.125.55.564.4102.8195.115532.9%4.1%2.442.337.06.984.5131.6
2Garrett Crochet152.113530.8%6.5%2.482.534.95.466.099.2198.116730.8%6.7%2.592.636.26.782.7123.9
3Hunter Brown136.19530.1%7.5%2.512.893.95.055.279.5184.112829.1%7.7%2.783.084.95.968.597.6
4Nathan Eovaldi116.010325.6%4.7%1.712.763.35.157.479.8162.013625.0%5.2%2.223.024.35.969.996.5
5Framber Valdez145.211524.4%8.2%2.972.963.84.350.375.2198.214824.1%8.1%3.083.104.95.464.995.9
6Max Fried144.012522.8%6.1%2.943.163.32.950.571.9194.015722.7%6.2%3.063.314.33.864.289.9
7Joe Ryan132.111528.2%4.8%2.793.193.34.150.870.1180.114827.9%5.0%3.043.354.34.963.286.2
8Jacob deGrom135.110527.2%5.7%2.863.532.84.249.063.6178.113727.8%5.6%2.983.454.05.262.683.4
9Bryan Woo146.010625.3%4.5%3.083.672.63.447.560.9193.013924.9%4.7%3.223.713.44.159.676.5
10Carlos Rodón146.212727.6%9.7%3.253.842.22.948.759.5194.2151027.4%9.4%3.423.923.03.560.272.9
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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
1Paul Skenes148.07928.6%6.2%2.132.504.76.162.695.4194.0101128.8%6.4%2.322.636.07.379.2119.5
2Zack Wheeler144.210533.5%5.5%2.682.924.04.958.283.7197.214732.1%5.6%2.783.035.36.476.8109.0
3Cristopher Sánchez144.211325.9%6.0%2.362.774.15.860.488.3193.214525.1%6.1%2.602.935.26.974.6108.4
4Logan Webb153.210926.2%5.5%3.342.614.03.046.678.9205.2131225.3%5.5%3.332.785.04.061.5100.9
5Matthew Boyd135.211522.6%5.4%2.453.133.44.553.974.6186.214822.6%5.8%2.843.414.15.365.287.8
6Yoshinobu Yamamoto126.210828.3%8.6%2.843.063.43.747.868.1172.2131027.7%8.3%2.973.204.54.761.786.7
7Nick Pivetta134.211426.2%6.6%2.943.313.03.648.266.0182.214726.5%6.8%3.203.553.84.459.779.0
8Freddy Peralta136.214526.1%8.8%2.903.732.64.253.164.8182.217826.3%8.8%3.153.813.45.064.378.4
9Robbie Ray148.09625.3%9.3%2.983.722.03.949.262.0195.012925.3%9.0%3.233.792.54.559.875.2
10Sonny Gray135.111526.8%4.0%4.063.103.11.632.553.4181.114726.6%4.5%3.873.204.22.746.472.6
#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 Skenes148.07928.6%6.2%2.132.504.76.162.695.4194.0101128.8%6.4%2.322.636.07.379.2119.5
2Zack Wheeler144.210533.5%5.5%2.682.924.04.958.283.7197.214732.1%5.6%2.783.035.36.476.8109.0
3Cristopher Sánchez144.211325.9%6.0%2.362.774.15.860.488.3193.214525.1%6.1%2.602.935.26.974.6108.4
4Logan Webb153.210926.2%5.5%3.342.614.03.046.678.9205.2131225.3%5.5%3.332.785.04.061.5100.9
5Matthew Boyd135.211522.6%5.4%2.453.133.44.553.974.6186.214822.6%5.8%2.843.414.15.365.287.8
6Yoshinobu Yamamoto126.210828.3%8.6%2.843.063.43.747.868.1172.2131027.7%8.3%2.973.204.54.761.786.7
7Nick Pivetta134.211426.2%6.6%2.943.313.03.648.266.0182.214726.5%6.8%3.203.553.84.459.779.0
8Freddy Peralta136.214526.1%8.8%2.903.732.64.253.164.8182.217826.3%8.8%3.153.813.45.064.378.4
9Robbie Ray148.09625.3%9.3%2.983.722.03.949.262.0195.012925.3%9.0%3.233.792.54.559.875.2
10Sonny Gray135.111526.8%4.0%4.063.103.11.632.553.4181.114726.6%4.5%3.873.204.22.746.472.6
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