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 Skubal102.09232.1%3.3%2.292.113.83.846.573.6200.016630.7%4.4%2.522.496.66.584.0128.7
2Garrett Crochet109.17431.3%7.2%2.062.533.44.350.274.2197.113831.4%7.2%2.462.705.96.782.4121.9
3Max Fried108.010224.5%4.9%1.922.742.93.951.472.5203.017723.9%5.6%2.533.094.95.781.1113.0
4Hunter Brown98.08332.1%7.6%1.742.682.94.649.869.7188.014829.3%7.9%2.593.064.86.275.8105.9
5Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7176.113627.6%5.3%2.603.044.55.869.397.8
6Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4201.014923.8%8.5%3.183.304.44.963.189.9
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1179.0111024.8%7.7%2.873.124.44.961.889.2
8Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7156.19825.5%5.1%2.653.053.94.657.282.3
9Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2192.2151028.8%8.2%3.323.693.53.862.880.2
10Joe Ryan91.18329.1%5.6%2.863.212.12.735.148.2176.113828.1%5.6%3.273.453.94.157.177.6
#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
1Tarik Skubal102.09232.1%3.3%2.292.113.83.846.573.6200.016630.7%4.4%2.522.496.66.584.0128.7
2Garrett Crochet109.17431.3%7.2%2.062.533.44.350.274.2197.113831.4%7.2%2.462.705.96.782.4121.9
3Max Fried108.010224.5%4.9%1.922.742.93.951.472.5203.017723.9%5.6%2.533.094.95.781.1113.0
4Hunter Brown98.08332.1%7.6%1.742.682.94.649.869.7188.014829.3%7.9%2.593.064.86.275.8105.9
5Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7176.113627.6%5.3%2.603.044.55.869.397.8
6Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4201.014923.8%8.5%3.183.304.44.963.189.9
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1179.0111024.8%7.7%2.873.124.44.961.889.2
8Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7156.19825.5%5.1%2.653.053.94.657.282.3
9Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2192.2151028.8%8.2%3.323.693.53.862.880.2
10Joe Ryan91.18329.1%5.6%2.863.212.12.735.148.2176.113828.1%5.6%3.273.453.94.157.177.6
of 19
Page Size:
1 - 10 of 182 results
of 19
Page Size:
1 - 10 of 182 results

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 Skenes106.04726.9%7.1%2.122.493.44.243.066.7200.0101227.9%7.2%2.522.736.16.976.1115.4
2Logan Webb107.17527.7%5.3%2.522.243.43.242.769.7208.1131025.2%5.4%2.852.715.55.272.6114.1
3Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3198.014830.3%6.5%2.823.005.56.074.8107.7
4Cristopher Sánchez93.26226.6%7.2%2.792.942.43.034.150.4183.212724.9%7.1%2.993.204.35.061.788.3
5Chris Sale89.15430.8%7.0%2.522.652.53.036.154.4146.19730.6%6.8%2.712.853.94.556.683.4
6MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9187.091329.7%8.0%3.273.284.54.757.482.7
7Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6172.2131027.2%8.0%3.023.373.84.460.482.1
8Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1201.212923.4%4.8%3.393.503.64.055.878.3
9Robbie Ray92.18227.6%9.5%2.833.261.72.435.648.3177.113726.9%9.0%3.303.572.83.656.574.9
10Ranger Suárez65.06223.0%6.3%2.082.841.92.729.441.4152.012722.5%6.9%2.843.383.54.453.972.9
#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
1Paul Skenes106.04726.9%7.1%2.122.493.44.243.066.7200.0101227.9%7.2%2.522.736.16.976.1115.4
2Logan Webb107.17527.7%5.3%2.522.243.43.242.769.7208.1131025.2%5.4%2.852.715.55.272.6114.1
3Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3198.014830.3%6.5%2.823.005.56.074.8107.7
4Cristopher Sánchez93.26226.6%7.2%2.792.942.43.034.150.4183.212724.9%7.1%2.993.204.35.061.788.3
5Chris Sale89.15430.8%7.0%2.522.652.53.036.154.4146.19730.6%6.8%2.712.853.94.556.683.4
6MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9187.091329.7%8.0%3.273.284.54.757.482.7
7Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6172.2131027.2%8.0%3.023.373.84.460.482.1
8Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1201.212923.4%4.8%3.393.503.64.055.878.3
9Robbie Ray92.18227.6%9.5%2.833.261.72.435.648.3177.113726.9%9.0%3.303.572.83.656.574.9
10Ranger Suárez65.06223.0%6.3%2.082.841.92.729.441.4152.012722.5%6.9%2.843.383.54.453.972.9
of 19
Page Size:
1 - 10 of 183 results
of 19
Page Size:
1 - 10 of 183 results