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%2.342.421.21.315.323.4194.215928.8%5.0%2.772.695.85.474.7113.8
2Garrett Crochet44.03228.6%10.3%2.052.631.31.520.029.2175.013830.3%8.8%2.782.815.14.968.1100.9
3Hunter Brown37.04129.9%5.2%1.221.841.51.921.532.4174.014826.0%7.6%3.053.174.24.160.486.1
4Max Fried37.25021.0%5.7%1.432.970.91.321.127.5180.215721.9%6.6%2.993.473.63.861.882.5
5Cole Ragans30.21135.9%7.0%4.402.750.90.35.911.9173.210829.2%8.5%3.683.303.93.047.070.1
6Drew Rasmussen25.21127.8%6.2%2.102.300.81.010.516.8142.29624.7%6.2%3.093.122.92.745.667.5
7Logan Gilbert30.11137.6%5.1%2.372.161.01.012.620.5138.18628.8%5.6%3.123.123.12.945.266.4
8Framber Valdez36.01320.9%8.8%4.003.690.60.66.19.3186.0121022.1%8.3%3.583.623.13.248.166.2
9Jacob deGrom33.01125.6%5.4%2.733.780.61.010.813.5142.08629.8%5.3%3.173.243.43.345.965.7
10Pablo López21.22122.5%4.5%2.082.990.60.59.813.5168.212924.8%5.9%3.583.493.32.546.665.5
#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
1Tarik Skubal34.23228.8%3.6%2.342.421.21.315.323.4194.215928.8%5.0%2.772.695.85.474.7113.8
2Garrett Crochet44.03228.6%10.3%2.052.631.31.520.029.2175.013830.3%8.8%2.782.815.14.968.1100.9
3Hunter Brown37.04129.9%5.2%1.221.841.51.921.532.4174.014826.0%7.6%3.053.174.24.160.486.1
4Max Fried37.25021.0%5.7%1.432.970.91.321.127.5180.215721.9%6.6%2.993.473.63.861.882.5
5Cole Ragans30.21135.9%7.0%4.402.750.90.35.911.9173.210829.2%8.5%3.683.303.93.047.070.1
6Drew Rasmussen25.21127.8%6.2%2.102.300.81.010.516.8142.29624.7%6.2%3.093.122.92.745.667.5
7Logan Gilbert30.11137.6%5.1%2.372.161.01.012.620.5138.18628.8%5.6%3.123.123.12.945.266.4
8Framber Valdez36.01320.9%8.8%4.003.690.60.66.19.3186.0121022.1%8.3%3.583.623.13.248.166.2
9Jacob deGrom33.01125.6%5.4%2.733.780.61.010.813.5142.08629.8%5.3%3.173.243.43.345.965.7
10Pablo López21.22122.5%4.5%2.082.990.60.59.813.5168.212924.8%5.9%3.583.493.32.546.665.5
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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%2.391.751.61.215.727.2180.213829.0%5.9%2.842.595.75.167.3105.7
2Logan Webb41.13229.9%6.6%2.831.771.51.115.728.2204.1141023.4%5.7%3.132.775.04.564.9104.3
3Zack Wheeler44.02132.8%5.2%3.483.311.01.112.718.5210.013827.9%6.1%3.343.335.04.863.791.0
4Yoshinobu Yamamoto34.03232.6%8.3%1.062.291.21.620.328.7167.013827.7%6.9%2.863.084.24.362.088.4
5Chris Sale28.11227.3%6.8%5.403.640.50.01.84.5174.112829.1%6.6%3.513.173.83.552.478.2
6Michael King33.03129.6%8.1%2.182.931.01.215.521.3178.013826.8%8.6%3.243.513.84.057.977.4
7Clay Holmes30.23127.5%9.9%2.642.201.00.712.920.8166.214823.3%9.0%3.293.193.32.852.977.2
8Nick Pivetta35.15129.3%6.0%1.782.291.31.619.628.3171.114928.3%7.2%3.363.493.53.755.374.4
9MacKenzie Gore41.02335.8%5.5%3.512.521.30.912.421.4179.0111128.9%7.8%3.623.363.73.450.072.6
10Spencer Schwellenbach37.21222.0%4.0%2.873.270.71.011.116.3184.211923.0%5.2%3.463.513.33.749.770.1
#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 Skenes37.23227.5%2.8%2.391.751.61.215.727.2180.213829.0%5.9%2.842.595.75.167.3105.7
2Logan Webb41.13229.9%6.6%2.831.771.51.115.728.2204.1141023.4%5.7%3.132.775.04.564.9104.3
3Zack Wheeler44.02132.8%5.2%3.483.311.01.112.718.5210.013827.9%6.1%3.343.335.04.863.791.0
4Yoshinobu Yamamoto34.03232.6%8.3%1.062.291.21.620.328.7167.013827.7%6.9%2.863.084.24.362.088.4
5Chris Sale28.11227.3%6.8%5.403.640.50.01.84.5174.112829.1%6.6%3.513.173.83.552.478.2
6Michael King33.03129.6%8.1%2.182.931.01.215.521.3178.013826.8%8.6%3.243.513.84.057.977.4
7Clay Holmes30.23127.5%9.9%2.642.201.00.712.920.8166.214823.3%9.0%3.293.193.32.852.977.2
8Nick Pivetta35.15129.3%6.0%1.782.291.31.619.628.3171.114928.3%7.2%3.363.493.53.755.374.4
9MacKenzie Gore41.02335.8%5.5%3.512.521.30.912.421.4179.0111128.9%7.8%3.623.363.73.450.072.6
10Spencer Schwellenbach37.21222.0%4.0%2.873.270.71.011.116.3184.211923.0%5.2%3.463.513.33.749.770.1
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