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 Skubal34.23228.8%3.6%2.342.421.21.315.323.4199.215829.4%5.1%2.792.795.95.676.0114.1
2Garrett Crochet44.03228.6%10.3%2.052.631.31.520.029.2173.012831.3%7.9%2.912.814.94.664.396.7
3Max Fried37.25021.0%5.7%1.432.970.91.321.127.5183.216722.5%6.7%3.043.403.94.162.985.4
4Hunter Brown37.04129.9%5.2%1.221.841.51.921.532.4177.014926.2%7.8%3.203.314.03.958.481.7
5Cole Ragans30.21135.9%7.0%4.402.750.90.35.911.9181.211829.1%8.5%3.623.274.13.350.775.5
6Framber Valdez36.01320.9%8.8%4.003.690.60.66.19.3191.0121023.1%7.7%3.443.453.63.652.775.0
7Jacob deGrom33.01125.6%5.4%2.733.780.61.010.813.5148.08530.7%5.4%2.983.074.03.850.874.3
8Pablo López21.22122.5%4.5%2.082.990.60.59.813.5175.212925.2%5.8%3.543.493.52.649.068.8
9Drew Rasmussen25.21127.8%6.2%2.102.300.81.010.516.8147.29724.7%5.9%3.173.132.92.845.568.0
10Logan Gilbert30.11137.6%5.1%2.372.161.01.012.620.5148.18628.2%5.1%3.223.213.22.845.767.0
#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 Skubal34.23228.8%3.6%2.342.421.21.315.323.4199.215829.4%5.1%2.792.795.95.676.0114.1
2Garrett Crochet44.03228.6%10.3%2.052.631.31.520.029.2173.012831.3%7.9%2.912.814.94.664.396.7
3Max Fried37.25021.0%5.7%1.432.970.91.321.127.5183.216722.5%6.7%3.043.403.94.162.985.4
4Hunter Brown37.04129.9%5.2%1.221.841.51.921.532.4177.014926.2%7.8%3.203.314.03.958.481.7
5Cole Ragans30.21135.9%7.0%4.402.750.90.35.911.9181.211829.1%8.5%3.623.274.13.350.775.5
6Framber Valdez36.01320.9%8.8%4.003.690.60.66.19.3191.0121023.1%7.7%3.443.453.63.652.775.0
7Jacob deGrom33.01125.6%5.4%2.733.780.61.010.813.5148.08530.7%5.4%2.983.074.03.850.874.3
8Pablo López21.22122.5%4.5%2.082.990.60.59.813.5175.212925.2%5.8%3.543.493.52.649.068.8
9Drew Rasmussen25.21127.8%6.2%2.102.300.81.010.516.8147.29724.7%5.9%3.173.132.92.845.568.0
10Logan Gilbert30.11137.6%5.1%2.372.161.01.012.620.5148.18628.2%5.1%3.223.213.22.845.767.0
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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 Skenes37.23227.5%2.8%2.391.751.61.215.727.2186.213830.4%6.0%2.702.496.15.872.7114.4
2Logan Webb41.13229.9%6.6%2.831.771.51.115.728.2212.1141122.4%5.7%3.312.964.94.561.797.9
3Zack Wheeler44.02132.8%5.2%3.483.311.01.112.718.5214.014827.9%6.1%3.323.375.05.065.992.8
4Yoshinobu Yamamoto34.03232.6%8.3%1.062.291.21.620.328.7167.013727.5%6.7%2.913.094.14.260.987.1
5Chris Sale28.11227.3%6.8%5.403.640.50.01.84.5179.112829.2%6.5%3.513.114.03.753.481.0
6Michael King33.03129.6%8.1%2.182.931.01.215.521.3181.013827.0%8.4%3.283.533.73.857.777.2
7Sonny Gray35.03023.9%5.1%3.603.820.50.89.812.4187.013825.4%6.5%3.613.473.43.450.972.4
8Spencer Schwellenbach37.21222.0%4.0%2.873.270.71.011.116.3185.212923.4%5.2%3.543.473.33.549.570.7
9Dylan Cease29.21226.5%8.8%5.763.180.7-0.30.44.8187.2121028.3%9.0%3.883.473.72.447.068.5
10Clay Holmes30.23127.5%9.9%2.642.201.00.712.920.8162.212823.1%9.2%3.493.332.92.446.467.5
#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
1Paul Skenes37.23227.5%2.8%2.391.751.61.215.727.2186.213830.4%6.0%2.702.496.15.872.7114.4
2Logan Webb41.13229.9%6.6%2.831.771.51.115.728.2212.1141122.4%5.7%3.312.964.94.561.797.9
3Zack Wheeler44.02132.8%5.2%3.483.311.01.112.718.5214.014827.9%6.1%3.323.375.05.065.992.8
4Yoshinobu Yamamoto34.03232.6%8.3%1.062.291.21.620.328.7167.013727.5%6.7%2.913.094.14.260.987.1
5Chris Sale28.11227.3%6.8%5.403.640.50.01.84.5179.112829.2%6.5%3.513.114.03.753.481.0
6Michael King33.03129.6%8.1%2.182.931.01.215.521.3181.013827.0%8.4%3.283.533.73.857.777.2
7Sonny Gray35.03023.9%5.1%3.603.820.50.89.812.4187.013825.4%6.5%3.613.473.43.450.972.4
8Spencer Schwellenbach37.21222.0%4.0%2.873.270.71.011.116.3185.212923.4%5.2%3.543.473.33.549.570.7
9Dylan Cease29.21226.5%8.8%5.763.180.7-0.30.44.8187.2121028.3%9.0%3.883.473.72.447.068.5
10Clay Holmes30.23127.5%9.9%2.642.201.00.712.920.8162.212823.1%9.2%3.493.332.92.446.467.5
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