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
1Garrett Crochet148.113431.0%6.6%2.242.484.85.768.5101.7202.117630.7%6.7%2.542.696.36.986.0126.7
2Tarik Skubal140.211334.0%3.6%2.181.955.75.765.4105.3191.215633.5%4.0%2.352.187.57.385.3134.8
3Nathan Eovaldi111.010326.4%4.8%1.382.373.75.559.685.9162.014525.3%5.4%2.112.854.76.372.9102.7
4Hunter Brown131.09530.4%7.6%2.472.943.64.854.076.7182.013829.6%7.9%2.823.164.75.768.495.6
5Max Fried139.012423.3%6.2%2.783.053.33.051.774.1193.016623.3%6.5%2.893.214.54.368.896.4
6Framber Valdez140.011525.4%7.9%2.832.893.84.451.476.5191.015825.2%8.0%3.063.104.85.365.194.8
7Jacob deGrom128.210427.1%5.8%2.803.652.54.147.859.9170.213627.1%6.0%3.013.713.45.059.474.5
8Joe Ryan127.110528.3%5.0%2.833.153.13.847.866.9176.113827.8%5.2%3.113.404.24.759.681.0
9Bryan Woo140.09624.8%4.6%3.023.722.43.345.657.8190.012924.4%4.7%3.173.793.44.358.373.3
10Kris Bubic116.18724.4%8.2%2.552.873.33.744.865.8116.18724.4%8.2%2.552.933.33.744.865.1
#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
1Garrett Crochet148.113431.0%6.6%2.242.484.85.768.5101.7202.117630.7%6.7%2.542.696.36.986.0126.7
2Tarik Skubal140.211334.0%3.6%2.181.955.75.765.4105.3191.215633.5%4.0%2.352.187.57.385.3134.8
3Nathan Eovaldi111.010326.4%4.8%1.382.373.75.559.685.9162.014525.3%5.4%2.112.854.76.372.9102.7
4Hunter Brown131.09530.4%7.6%2.472.943.64.854.076.7182.013829.6%7.9%2.823.164.75.768.495.6
5Max Fried139.012423.3%6.2%2.783.053.33.051.774.1193.016623.3%6.5%2.893.214.54.368.896.4
6Framber Valdez140.011525.4%7.9%2.832.893.84.451.476.5191.015825.2%8.0%3.063.104.85.365.194.8
7Jacob deGrom128.210427.1%5.8%2.803.652.54.147.859.9170.213627.1%6.0%3.013.713.45.059.474.5
8Joe Ryan127.110528.3%5.0%2.833.153.13.847.866.9176.113827.8%5.2%3.113.404.24.759.681.0
9Bryan Woo140.09624.8%4.6%3.023.722.43.345.657.8190.012924.4%4.7%3.173.793.44.358.373.3
10Kris Bubic116.18724.4%8.2%2.552.873.33.744.865.8116.18724.4%8.2%2.552.933.33.744.865.1
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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 Skenes144.07828.9%6.1%1.942.325.06.364.299.0195.0101128.6%6.3%2.262.506.57.680.5123.7
2Cristopher Sánchez138.210326.0%6.1%2.402.823.85.556.882.7187.213625.2%6.2%2.693.044.96.470.0100.5
3Zack Wheeler139.29533.5%5.1%2.642.863.94.856.081.5199.213832.1%5.6%2.843.025.56.275.1107.9
4Matthew Boyd130.211423.0%5.6%2.343.183.24.554.173.3184.214722.9%6.0%2.783.434.35.466.288.2
5Yoshinobu Yamamoto122.010728.5%8.0%2.512.903.54.150.972.5173.014927.5%7.7%2.863.084.75.064.792.0
6Nick Pivetta128.211327.0%6.3%2.733.203.13.849.968.5177.214626.6%6.5%3.143.503.94.559.679.3
7Robbie Ray142.09525.7%9.5%2.853.691.94.049.862.5194.012825.4%9.4%3.293.902.74.458.371.2
8Freddy Peralta130.213525.9%9.0%3.033.852.33.848.457.8182.216925.9%8.9%3.303.943.24.660.071.3
9Logan Webb147.110826.9%5.5%3.242.534.03.147.279.5202.1141125.6%5.5%3.292.715.44.262.7102.9
10Andrew Abbott115.18221.0%7.4%2.343.792.54.245.654.6159.110520.6%7.6%3.054.152.84.349.355.4
#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
1Paul Skenes144.07828.9%6.1%1.942.325.06.364.299.0195.0101128.6%6.3%2.262.506.57.680.5123.7
2Cristopher Sánchez138.210326.0%6.1%2.402.823.85.556.882.7187.213625.2%6.2%2.693.044.96.470.0100.5
3Zack Wheeler139.29533.5%5.1%2.642.863.94.856.081.5199.213832.1%5.6%2.843.025.56.275.1107.9
4Matthew Boyd130.211423.0%5.6%2.343.183.24.554.173.3184.214722.9%6.0%2.783.434.35.466.288.2
5Yoshinobu Yamamoto122.010728.5%8.0%2.512.903.54.150.972.5173.014927.5%7.7%2.863.084.75.064.792.0
6Nick Pivetta128.211327.0%6.3%2.733.203.13.849.968.5177.214626.6%6.5%3.143.503.94.559.679.3
7Robbie Ray142.09525.7%9.5%2.853.691.94.049.862.5194.012825.4%9.4%3.293.902.74.458.371.2
8Freddy Peralta130.213525.9%9.0%3.033.852.33.848.457.8182.216925.9%8.9%3.303.943.24.660.071.3
9Logan Webb147.110826.9%5.5%3.242.534.03.147.279.5202.1141125.6%5.5%3.292.715.44.262.7102.9
10Andrew Abbott115.18221.0%7.4%2.343.792.54.245.654.6159.110520.6%7.6%3.054.152.84.349.355.4
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