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%2.242.484.85.768.5101.7194.117630.9%6.7%2.412.606.17.086.2127.2
2Tarik Skubal140.211334.0%3.6%2.181.955.75.765.4105.3195.216533.2%4.0%2.252.167.47.589.8140.7
3Nathan Eovaldi111.010326.4%4.8%1.382.373.75.559.685.9162.013625.4%5.4%2.112.824.76.272.1102.3
4Hunter Brown131.09530.4%7.6%2.472.943.64.854.076.7184.013829.4%7.8%2.743.134.76.070.698.5
5Max Fried139.012423.3%6.2%2.783.053.33.051.774.1195.016723.6%6.5%2.913.184.54.269.398.0
6Framber Valdez140.011525.4%7.9%2.832.893.84.451.476.5198.015825.2%7.9%2.953.065.15.669.5101.3
7Jacob deGrom128.210427.1%5.8%2.803.652.54.147.859.9171.214627.4%6.0%2.883.613.45.263.280.2
8Joe Ryan127.110528.3%5.0%2.833.153.13.847.866.9179.114827.8%5.2%3.013.374.14.863.585.9
9Bryan Woo140.09624.8%4.6%3.023.722.43.345.657.8186.013824.9%4.7%3.053.723.24.261.477.5
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%2.242.484.85.768.5101.7194.117630.9%6.7%2.412.606.17.086.2127.2
2Tarik Skubal140.211334.0%3.6%2.181.955.75.765.4105.3195.216533.2%4.0%2.252.167.47.589.8140.7
3Nathan Eovaldi111.010326.4%4.8%1.382.373.75.559.685.9162.013625.4%5.4%2.112.824.76.272.1102.3
4Hunter Brown131.09530.4%7.6%2.472.943.64.854.076.7184.013829.4%7.8%2.743.134.76.070.698.5
5Max Fried139.012423.3%6.2%2.783.053.33.051.774.1195.016723.6%6.5%2.913.184.54.269.398.0
6Framber Valdez140.011525.4%7.9%2.832.893.84.451.476.5198.015825.2%7.9%2.953.065.15.669.5101.3
7Jacob deGrom128.210427.1%5.8%2.803.652.54.147.859.9171.214627.4%6.0%2.883.613.45.263.280.2
8Joe Ryan127.110528.3%5.0%2.833.153.13.847.866.9179.114827.8%5.2%3.013.374.14.863.585.9
9Bryan Woo140.09624.8%4.6%3.023.722.43.345.657.8186.013824.9%4.7%3.053.723.24.261.477.5
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%1.942.325.06.364.299.0193.0111029.0%6.3%2.152.496.37.883.6126.8
2Cristopher Sánchez138.210326.0%6.1%2.402.823.85.556.882.7190.214525.5%6.2%2.602.995.16.874.1106.1
3Zack Wheeler139.29533.5%5.1%2.642.863.94.856.081.5198.214732.3%5.5%2.722.985.56.678.7112.3
4Matthew Boyd130.211423.0%5.6%2.343.183.24.554.173.3179.213623.0%6.0%2.763.463.95.264.485.3
5Yoshinobu Yamamoto122.010728.5%8.0%2.512.903.54.150.972.5174.014928.1%7.9%2.693.054.75.468.696.6
6Nick Pivetta128.211327.0%6.3%2.733.203.13.849.968.5181.215626.8%6.6%3.023.464.04.764.285.2
7Robbie Ray142.09525.7%9.5%2.853.691.94.049.862.5191.012825.5%9.4%3.113.792.54.661.576.5
8Freddy Peralta130.213525.9%9.0%3.033.852.33.848.457.8181.217826.3%9.0%3.173.913.14.763.775.7
9Logan Webb147.110826.9%5.5%3.242.534.03.147.279.5205.1141126.0%5.5%3.242.735.34.364.9105.3
10Andrew Abbott115.18221.0%7.4%2.343.792.54.245.654.6161.111521.3%7.6%2.964.093.04.653.060.3
#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
1Paul Skenes144.07828.9%6.1%1.942.325.06.364.299.0193.0111029.0%6.3%2.152.496.37.883.6126.8
2Cristopher Sánchez138.210326.0%6.1%2.402.823.85.556.882.7190.214525.5%6.2%2.602.995.16.874.1106.1
3Zack Wheeler139.29533.5%5.1%2.642.863.94.856.081.5198.214732.3%5.5%2.722.985.56.678.7112.3
4Matthew Boyd130.211423.0%5.6%2.343.183.24.554.173.3179.213623.0%6.0%2.763.463.95.264.485.3
5Yoshinobu Yamamoto122.010728.5%8.0%2.512.903.54.150.972.5174.014928.1%7.9%2.693.054.75.468.696.6
6Nick Pivetta128.211327.0%6.3%2.733.203.13.849.968.5181.215626.8%6.6%3.023.464.04.764.285.2
7Robbie Ray142.09525.7%9.5%2.853.691.94.049.862.5191.012825.5%9.4%3.113.792.54.661.576.5
8Freddy Peralta130.213525.9%9.0%3.033.852.33.848.457.8181.217826.3%9.0%3.173.913.14.763.775.7
9Logan Webb147.110826.9%5.5%3.242.534.03.147.279.5205.1141126.0%5.5%3.242.735.34.364.9105.3
10Andrew Abbott115.18221.0%7.4%2.343.792.54.245.654.6161.111521.3%7.6%2.964.093.04.653.060.3
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