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%2.292.113.83.846.573.6201.017530.9%3.8%2.462.337.26.886.7135.1
2Garrett Crochet109.17431.3%7.2%2.062.523.44.350.274.2187.113731.2%7.4%2.452.615.86.579.2118.5
3Max Fried108.010224.5%4.9%1.922.743.03.951.472.5202.017623.7%5.7%2.543.065.15.980.2112.5
4Hunter Brown91.08331.6%8.1%1.882.842.54.045.462.2179.015728.8%8.2%2.723.194.35.571.197.2
5Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4201.016823.7%8.6%3.043.334.35.368.094.2
6Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7164.113427.2%5.5%2.573.104.25.565.591.0
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1171.011925.2%7.6%2.842.974.54.760.389.3
8Joe Ryan91.18329.1%5.6%2.863.202.12.735.148.2174.114828.3%5.6%3.253.423.94.057.978.8
9Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2188.2161128.5%8.4%3.433.713.53.460.176.8
10Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7152.19725.2%4.9%2.843.083.84.352.576.5
#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 Skubal102.09232.1%3.3%2.292.113.83.846.573.6201.017530.9%3.8%2.462.337.26.886.7135.1
2Garrett Crochet109.17431.3%7.2%2.062.523.44.350.274.2187.113731.2%7.4%2.452.615.86.579.2118.5
3Max Fried108.010224.5%4.9%1.922.743.03.951.472.5202.017623.7%5.7%2.543.065.15.980.2112.5
4Hunter Brown91.08331.6%8.1%1.882.842.54.045.462.2179.015728.8%8.2%2.723.194.35.571.197.2
5Framber Valdez103.08424.6%8.9%2.883.042.53.236.753.4201.016823.7%8.6%3.043.334.35.368.094.2
6Jacob deGrom95.18225.9%5.5%2.083.022.44.043.158.7164.113427.2%5.5%2.573.104.25.565.591.0
7Kris Bubic91.06526.0%7.3%2.182.522.93.339.159.1171.011925.2%7.6%2.842.974.54.760.389.3
8Joe Ryan91.18329.1%5.6%2.863.202.12.735.148.2174.114828.3%5.6%3.253.423.94.057.978.8
9Carlos Rodón101.29529.7%8.5%2.923.491.92.538.750.2188.2161128.5%8.4%3.433.713.53.460.176.8
10Nathan Eovaldi69.14327.4%3.8%1.562.322.23.134.050.7152.19725.2%4.9%2.843.083.84.352.576.5
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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
1Logan Webb107.17527.7%5.3%2.522.233.43.242.769.7209.115925.2%5.3%2.752.626.05.877.1120.9
2Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3200.014730.1%6.5%2.882.935.75.973.9108.8
3Paul Skenes106.04726.9%7.1%2.122.493.44.243.066.7188.091027.4%7.1%2.592.745.66.369.4106.3
4Chris Sale89.15430.8%7.0%2.522.652.53.036.154.5147.110630.6%6.9%2.692.784.04.658.386.4
5Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6175.2141027.5%7.6%3.023.294.04.462.085.7
6MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9182.081329.4%7.8%3.413.294.44.252.376.8
7Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1193.212823.7%4.4%3.393.483.63.954.276.2
8Ranger Suárez65.06223.0%6.3%2.082.841.92.829.441.4151.013622.2%6.8%2.863.283.64.454.274.7
9Robbie Ray92.18227.6%9.5%2.833.261.72.535.648.3171.113627.0%8.9%3.203.592.83.856.874.0
10Kodai Senga73.27323.9%10.6%1.473.181.73.438.849.6137.212624.2%10.4%2.423.472.84.557.573.3
#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
1Logan Webb107.17527.7%5.3%2.522.233.43.242.769.7209.115925.2%5.3%2.752.626.05.877.1120.9
2Zack Wheeler99.07332.9%6.5%2.552.663.03.641.161.3200.014730.1%6.5%2.882.935.75.973.9108.8
3Paul Skenes106.04726.9%7.1%2.122.493.44.243.066.7188.091027.4%7.1%2.592.745.66.369.4106.3
4Chris Sale89.15430.8%7.0%2.522.652.53.036.154.5147.110630.6%6.9%2.692.784.04.658.386.4
5Yoshinobu Yamamoto89.27628.4%8.7%2.613.232.02.835.948.6175.2141027.5%7.6%3.023.294.04.462.085.7
6MacKenzie Gore99.03831.8%7.4%3.092.912.82.931.448.9182.081329.4%7.8%3.413.294.44.252.376.8
7Spencer Schwellenbach103.26423.5%4.2%3.213.401.82.130.443.1193.212823.7%4.4%3.393.483.63.954.276.2
8Ranger Suárez65.06223.0%6.3%2.082.841.92.829.441.4151.013622.2%6.8%2.863.283.64.454.274.7
9Robbie Ray92.18227.6%9.5%2.833.261.72.535.648.3171.113627.0%8.9%3.203.592.83.856.874.0
10Kodai Senga73.27323.9%10.6%1.473.181.73.438.849.6137.212624.2%10.4%2.423.472.84.557.573.3
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