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%1.991.883.63.843.369.6201.115631.1%3.9%2.372.287.17.086.9136.5
2Garrett Crochet96.16430.6%7.3%2.242.732.73.541.960.8189.113830.8%7.5%2.612.795.56.076.2112.2
3Max Fried88.09123.4%5.2%1.842.872.23.243.159.0195.017623.0%6.0%2.633.224.45.375.6103.3
4Hunter Brown86.08332.3%8.0%1.882.672.63.843.561.0187.015828.9%8.2%2.743.174.65.573.1100.8
5Framber Valdez90.07426.7%7.8%3.102.872.32.530.646.9201.015924.9%7.9%3.223.214.54.763.992.7
6Jacob deGrom82.16225.4%5.4%2.193.241.93.335.246.7166.111627.4%5.4%2.763.204.15.161.185.0
7Kris Bubic79.25425.9%8.2%1.922.562.53.336.053.2172.211924.6%8.3%2.873.154.14.959.885.6
8Carlos Rodón89.28530.1%9.0%3.013.272.02.033.545.7190.2151128.7%8.5%3.453.603.83.359.678.8
9Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7159.110825.3%5.0%2.773.043.94.556.882.6
10Joe Ryan80.07228.3%5.4%2.933.451.62.229.939.2175.013727.5%5.5%3.393.583.63.653.971.7
#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%1.991.883.63.843.369.6201.115631.1%3.9%2.372.287.17.086.9136.5
2Garrett Crochet96.16430.6%7.3%2.242.732.73.541.960.8189.113830.8%7.5%2.612.795.56.076.2112.2
3Max Fried88.09123.4%5.2%1.842.872.23.243.159.0195.017623.0%6.0%2.633.224.45.375.6103.3
4Hunter Brown86.08332.3%8.0%1.882.672.63.843.561.0187.015828.9%8.2%2.743.174.65.573.1100.8
5Framber Valdez90.07426.7%7.8%3.102.872.32.530.646.9201.015924.9%7.9%3.223.214.54.763.992.7
6Jacob deGrom82.16225.4%5.4%2.193.241.93.335.246.7166.111627.4%5.4%2.763.204.15.161.185.0
7Kris Bubic79.25425.9%8.2%1.922.562.53.336.053.2172.211924.6%8.3%2.873.154.14.959.885.6
8Carlos Rodón89.28530.1%9.0%3.013.272.02.033.545.7190.2151128.7%8.5%3.453.603.83.359.678.8
9Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7159.110825.3%5.0%2.773.043.94.556.882.6
10Joe Ryan80.07228.3%5.4%2.933.451.62.229.939.2175.013727.5%5.5%3.393.583.63.653.971.7
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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 Skenes96.04626.6%6.0%1.782.483.04.242.764.2195.0101027.5%6.5%2.402.775.76.876.7114.1
2Logan Webb94.16527.6%5.3%2.582.342.82.636.759.3207.1141024.7%5.3%2.912.745.24.971.6112.2
3Chris Sale80.24431.7%7.4%2.792.742.22.430.045.8184.212830.9%7.1%2.922.904.75.167.9100.9
4Zack Wheeler82.06232.0%6.0%2.852.962.22.731.145.1196.014729.1%6.3%3.083.155.05.367.797.1
5Kodai Senga73.27323.9%10.6%1.473.181.63.338.849.6151.213724.3%10.4%2.553.542.94.661.077.3
6Robbie Ray81.18128.1%10.1%2.552.991.82.534.948.5172.114627.2%9.2%3.133.473.03.959.579.2
7Yoshinobu Yamamoto78.16528.6%9.5%2.643.331.62.331.241.4174.113927.2%8.1%3.103.373.74.159.481.2
8MacKenzie Gore81.13534.8%6.7%2.882.632.62.629.146.0178.191130.9%7.7%3.233.154.54.556.883.5
9Freddy Peralta83.06424.5%9.3%2.603.761.52.831.938.7178.012925.5%9.2%3.243.873.14.255.968.3
10Spencer Schwellenbach89.25423.5%3.9%3.113.191.71.827.240.3194.212923.5%4.6%3.333.383.73.855.880.0
#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
1Paul Skenes96.04626.6%6.0%1.782.483.04.242.764.2195.0101027.5%6.5%2.402.775.76.876.7114.1
2Logan Webb94.16527.6%5.3%2.582.342.82.636.759.3207.1141024.7%5.3%2.912.745.24.971.6112.2
3Chris Sale80.24431.7%7.4%2.792.742.22.430.045.8184.212830.9%7.1%2.922.904.75.167.9100.9
4Zack Wheeler82.06232.0%6.0%2.852.962.22.731.145.1196.014729.1%6.3%3.083.155.05.367.797.1
5Kodai Senga73.27323.9%10.6%1.473.181.63.338.849.6151.213724.3%10.4%2.553.542.94.661.077.3
6Robbie Ray81.18128.1%10.1%2.552.991.82.534.948.5172.114627.2%9.2%3.133.473.03.959.579.2
7Yoshinobu Yamamoto78.16528.6%9.5%2.643.331.62.331.241.4174.113927.2%8.1%3.103.373.74.159.481.2
8MacKenzie Gore81.13534.8%6.7%2.882.632.62.629.146.0178.191130.9%7.7%3.233.154.54.556.883.5
9Freddy Peralta83.06424.5%9.3%2.603.761.52.831.938.7178.012925.5%9.2%3.243.873.14.255.968.3
10Spencer Schwellenbach89.25423.5%3.9%3.113.191.71.827.240.3194.212923.5%4.6%3.333.383.73.855.880.0
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