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 Skubal40.23230.0%3.1%2.212.471.31.518.127.3190.214829.1%4.7%2.692.675.75.474.4113.2
2Garrett Crochet49.03228.6%10.2%2.022.841.31.722.131.1171.012730.1%8.9%2.742.834.84.966.698.4
3Max Fried51.26022.6%5.3%1.052.911.32.230.539.6195.216722.4%6.3%2.713.324.14.972.898.4
4Hunter Brown43.05131.0%6.3%1.671.831.82.023.436.2173.014826.6%7.8%3.073.084.44.160.287.5
5Nathan Eovaldi48.23228.5%2.2%2.032.221.61.721.634.0180.211924.7%4.9%3.293.293.93.653.477.6
6Pablo López33.03228.5%3.8%2.182.111.20.915.224.0171.0121026.2%5.6%3.373.184.03.051.876.8
7Cole Ragans35.22138.5%7.4%3.792.381.20.610.518.9168.211830.4%8.5%3.523.174.13.450.775.6
8Logan Gilbert30.11137.6%5.1%2.372.181.01.012.620.4140.18628.8%5.5%3.083.093.22.946.468.4
9Kris Bubic48.04224.2%7.2%1.692.691.42.023.733.4153.010823.2%7.8%3.123.423.03.448.466.7
10Jacob deGrom38.02124.2%6.0%2.613.710.71.313.616.9141.09528.6%5.7%3.133.313.43.346.665.3
#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
1Tarik Skubal40.23230.0%3.1%2.212.471.31.518.127.3190.214829.1%4.7%2.692.675.75.474.4113.2
2Garrett Crochet49.03228.6%10.2%2.022.841.31.722.131.1171.012730.1%8.9%2.742.834.84.966.698.4
3Max Fried51.26022.6%5.3%1.052.911.32.230.539.6195.216722.4%6.3%2.713.324.14.972.898.4
4Hunter Brown43.05131.0%6.3%1.671.831.82.023.436.2173.014826.6%7.8%3.073.084.44.160.287.5
5Nathan Eovaldi48.23228.5%2.2%2.032.221.61.721.634.0180.211924.7%4.9%3.293.293.93.653.477.6
6Pablo López33.03228.5%3.8%2.182.111.20.915.224.0171.0121026.2%5.6%3.373.184.03.051.876.8
7Cole Ragans35.22138.5%7.4%3.792.381.20.610.518.9168.211830.4%8.5%3.523.174.13.450.775.6
8Logan Gilbert30.11137.6%5.1%2.372.181.01.012.620.4140.18628.8%5.5%3.083.093.22.946.468.4
9Kris Bubic48.04224.2%7.2%1.692.691.42.023.733.4153.010823.2%7.8%3.123.423.03.448.466.7
10Jacob deGrom38.02124.2%6.0%2.613.710.71.313.616.9141.09528.6%5.7%3.133.313.43.346.665.3
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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 Webb48.14228.7%6.7%2.611.861.81.519.833.9201.115923.4%5.8%3.042.795.04.767.1105.3
2Zack Wheeler51.03133.3%4.5%3.353.201.21.416.123.4207.014728.3%5.8%3.303.275.05.065.193.4
3Paul Skenes48.23424.7%6.3%2.773.041.21.417.024.9182.2121027.6%6.9%3.012.994.74.962.793.4
4Chris Sale42.01330.3%5.9%4.073.061.00.68.615.3180.011830.0%6.3%3.353.024.34.156.586.1
5Yoshinobu Yamamoto45.04330.3%8.0%1.802.911.21.722.830.8169.014827.3%6.8%2.983.174.04.261.085.9
6Michael King44.24127.0%7.9%2.223.201.21.720.126.6181.214826.2%8.4%3.173.533.84.360.580.1
7Clay Holmes36.24125.0%8.3%2.952.211.30.814.223.6162.214822.6%8.5%3.373.113.52.950.075.1
8MacKenzie Gore46.02336.4%7.0%3.332.761.31.214.823.7175.0101129.6%8.2%3.553.393.73.550.171.7
9Nick Pivetta40.15128.4%7.7%2.012.781.21.620.628.3168.114828.0%7.7%3.373.583.23.654.471.5
10Hunter Greene45.24234.7%4.5%2.363.081.31.920.928.1173.211930.4%7.3%3.423.603.94.253.270.5
#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
1Logan Webb48.14228.7%6.7%2.611.861.81.519.833.9201.115923.4%5.8%3.042.795.04.767.1105.3
2Zack Wheeler51.03133.3%4.5%3.353.201.21.416.123.4207.014728.3%5.8%3.303.275.05.065.193.4
3Paul Skenes48.23424.7%6.3%2.773.041.21.417.024.9182.2121027.6%6.9%3.012.994.74.962.793.4
4Chris Sale42.01330.3%5.9%4.073.061.00.68.615.3180.011830.0%6.3%3.353.024.34.156.586.1
5Yoshinobu Yamamoto45.04330.3%8.0%1.802.911.21.722.830.8169.014827.3%6.8%2.983.174.04.261.085.9
6Michael King44.24127.0%7.9%2.223.201.21.720.126.6181.214826.2%8.4%3.173.533.84.360.580.1
7Clay Holmes36.24125.0%8.3%2.952.211.30.814.223.6162.214822.6%8.5%3.373.113.52.950.075.1
8MacKenzie Gore46.02336.4%7.0%3.332.761.31.214.823.7175.0101129.6%8.2%3.553.393.73.550.171.7
9Nick Pivetta40.15128.4%7.7%2.012.781.21.620.628.3168.114828.0%7.7%3.373.583.23.654.471.5
10Hunter Greene45.24234.7%4.5%2.363.081.31.920.928.1173.211930.4%7.3%3.423.603.94.253.270.5
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