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 Skubal90.17232.7%2.7%1.991.883.63.843.369.6204.116631.1%3.8%2.382.337.27.188.7137.9
2Max Fried88.09123.4%5.2%1.842.872.23.243.159.0197.017622.9%5.9%2.653.204.55.475.8104.2
3Garrett Crochet88.06431.3%7.7%2.352.682.53.038.055.8182.013831.3%7.7%2.672.745.35.673.1108.6
4Hunter Brown79.08331.1%8.4%1.822.702.33.540.856.6182.015828.1%8.4%2.823.204.45.369.595.8
5Framber Valdez90.07426.7%7.8%3.102.882.32.530.646.8203.015924.8%7.8%3.243.264.54.764.192.2
6Jacob deGrom76.16225.3%5.8%2.123.421.63.133.642.8161.112627.4%5.7%2.733.283.84.961.182.9
7Carlos Rodón84.28431.0%9.0%2.873.281.82.233.645.1187.2151029.2%8.5%3.403.573.73.560.179.5
8Kris Bubic79.25425.9%8.2%1.922.562.53.336.053.2174.211924.6%8.3%2.893.154.14.960.086.2
9Nathan Eovaldi69.14327.4%3.8%1.562.332.23.134.050.7155.19825.3%5.0%2.723.053.84.455.480.4
10Drew Rasmussen69.05422.5%5.3%2.223.241.42.728.438.1155.011822.8%5.7%2.903.332.94.052.572.7
#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 Skubal90.17232.7%2.7%1.991.883.63.843.369.6204.116631.1%3.8%2.382.337.27.188.7137.9
2Max Fried88.09123.4%5.2%1.842.872.23.243.159.0197.017622.9%5.9%2.653.204.55.475.8104.2
3Garrett Crochet88.06431.3%7.7%2.352.682.53.038.055.8182.013831.3%7.7%2.672.745.35.673.1108.6
4Hunter Brown79.08331.1%8.4%1.822.702.33.540.856.6182.015828.1%8.4%2.823.204.45.369.595.8
5Framber Valdez90.07426.7%7.8%3.102.882.32.530.646.8203.015924.8%7.8%3.243.264.54.764.192.2
6Jacob deGrom76.16225.3%5.8%2.123.421.63.133.642.8161.112627.4%5.7%2.733.283.84.961.182.9
7Carlos Rodón84.28431.0%9.0%2.873.281.82.233.645.1187.2151029.2%8.5%3.403.573.73.560.179.5
8Kris Bubic79.25425.9%8.2%1.922.562.53.336.053.2174.211924.6%8.3%2.893.154.14.960.086.2
9Nathan Eovaldi69.14327.4%3.8%1.562.332.23.134.050.7155.19825.3%5.0%2.723.053.84.455.480.4
10Drew Rasmussen69.05422.5%5.3%2.223.241.42.728.438.1155.011822.8%5.7%2.903.332.94.052.572.7
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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 Skenes91.04626.7%5.8%1.882.492.93.839.760.0193.0111027.8%6.3%2.472.755.76.675.6113.2
2Logan Webb87.15528.5%4.8%2.582.132.82.333.856.8203.1131025.0%5.0%2.882.635.44.970.5112.7
3Zack Wheeler82.06232.0%6.0%2.852.972.22.731.145.1199.014729.1%6.2%3.083.205.05.468.597.2
4Chris Sale80.24431.7%7.4%2.792.742.22.430.045.8186.212831.0%7.0%2.942.874.75.068.2102.1
5Yoshinobu Yamamoto73.26429.6%8.6%2.202.901.92.633.446.5171.214827.8%7.4%2.883.124.24.564.090.4
6Kodai Senga73.27323.9%10.6%1.473.191.63.338.849.6153.213724.3%10.4%2.583.522.94.561.277.9
7Robbie Ray81.18128.1%10.1%2.552.991.82.534.948.5174.114627.1%9.2%3.153.463.03.959.779.8
8MacKenzie Gore81.13534.8%6.7%2.882.632.62.629.145.9180.191130.9%7.7%3.243.134.54.557.184.5
9Spencer Schwellenbach89.25423.5%3.9%3.113.191.71.827.240.3196.212923.6%4.5%3.343.353.73.856.181.3
10Freddy Peralta77.05424.5%9.7%2.693.891.32.528.333.5174.0111025.6%9.4%3.313.982.83.952.662.6
#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
1Paul Skenes91.04626.7%5.8%1.882.492.93.839.760.0193.0111027.8%6.3%2.472.755.76.675.6113.2
2Logan Webb87.15528.5%4.8%2.582.132.82.333.856.8203.1131025.0%5.0%2.882.635.44.970.5112.7
3Zack Wheeler82.06232.0%6.0%2.852.972.22.731.145.1199.014729.1%6.2%3.083.205.05.468.597.2
4Chris Sale80.24431.7%7.4%2.792.742.22.430.045.8186.212831.0%7.0%2.942.874.75.068.2102.1
5Yoshinobu Yamamoto73.26429.6%8.6%2.202.901.92.633.446.5171.214827.8%7.4%2.883.124.24.564.090.4
6Kodai Senga73.27323.9%10.6%1.473.191.63.338.849.6153.213724.3%10.4%2.583.522.94.561.277.9
7Robbie Ray81.18128.1%10.1%2.552.991.82.534.948.5174.114627.1%9.2%3.153.463.03.959.779.8
8MacKenzie Gore81.13534.8%6.7%2.882.632.62.629.145.9180.191130.9%7.7%3.243.134.54.557.184.5
9Spencer Schwellenbach89.25423.5%3.9%3.113.191.71.827.240.3196.212923.6%4.5%3.343.353.73.856.181.3
10Freddy Peralta77.05424.5%9.7%2.693.891.32.528.333.5174.0111025.6%9.4%3.313.982.83.952.662.6
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