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%2.212.421.31.518.127.5194.214929.1%4.8%2.682.725.95.575.8114.3
2Garrett Crochet49.03228.6%10.2%2.022.801.31.722.131.4174.013830.1%8.8%2.742.894.95.068.499.5
3Max Fried44.26021.5%6.1%1.012.911.11.827.235.1182.216622.0%6.6%2.813.403.84.366.989.2
4Hunter Brown43.05131.0%6.3%1.671.781.92.023.436.4175.015826.5%7.9%3.093.084.64.161.489.1
5Cole Ragans35.22138.5%7.4%3.792.331.20.610.519.1171.211830.2%8.5%3.573.154.23.350.576.2
6Nathan Eovaldi42.22228.2%1.8%2.112.311.31.417.928.3177.210924.5%5.0%3.393.343.73.249.572.4
7Pablo López28.02223.2%3.6%2.252.560.90.711.617.6169.0111024.8%5.6%3.513.383.62.746.867.8
8Jacob deGrom38.02124.2%6.0%2.613.670.71.313.617.1143.09628.7%5.6%3.153.263.53.346.966.5
9Logan Gilbert30.11137.6%5.1%2.372.141.01.012.620.5134.18628.9%5.6%3.083.053.12.844.866.3
10Carlos Rodón48.24330.3%10.6%2.963.560.91.118.023.1185.2141128.0%8.8%3.733.853.12.551.264.7
#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 Skubal40.23230.0%3.1%2.212.421.31.518.127.5194.214929.1%4.8%2.682.725.95.575.8114.3
2Garrett Crochet49.03228.6%10.2%2.022.801.31.722.131.4174.013830.1%8.8%2.742.894.95.068.499.5
3Max Fried44.26021.5%6.1%1.012.911.11.827.235.1182.216622.0%6.6%2.813.403.84.366.989.2
4Hunter Brown43.05131.0%6.3%1.671.781.92.023.436.4175.015826.5%7.9%3.093.084.64.161.489.1
5Cole Ragans35.22138.5%7.4%3.792.331.20.610.519.1171.211830.2%8.5%3.573.154.23.350.576.2
6Nathan Eovaldi42.22228.2%1.8%2.112.311.31.417.928.3177.210924.5%5.0%3.393.343.73.249.572.4
7Pablo López28.02223.2%3.6%2.252.560.90.711.617.6169.0111024.8%5.6%3.513.383.62.746.867.8
8Jacob deGrom38.02124.2%6.0%2.613.670.71.313.617.1143.09628.7%5.6%3.153.263.53.346.966.5
9Logan Gilbert30.11137.6%5.1%2.372.141.01.012.620.5134.18628.9%5.6%3.083.053.12.844.866.3
10Carlos Rodón48.24330.3%10.6%2.963.560.91.118.023.1185.2141128.0%8.8%3.733.853.12.551.264.7
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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
1Logan Webb48.14228.7%6.7%2.611.821.81.519.834.1204.115923.3%5.8%3.042.795.24.767.8106.6
2Yoshinobu Yamamoto40.04232.0%8.5%0.902.241.42.024.935.0168.014727.8%6.9%2.732.994.44.665.693.8
3Paul Skenes42.23324.8%4.8%2.742.991.01.215.422.6178.212927.9%6.4%3.023.014.74.761.491.0
4Zack Wheeler44.02132.8%5.2%3.483.291.01.112.718.6204.013827.9%6.1%3.353.374.94.762.087.6
5Michael King38.24129.5%7.7%2.092.781.31.518.926.3178.214826.9%8.4%3.123.424.14.361.282.6
6Chris Sale35.11329.3%5.7%4.843.320.70.24.38.9176.112929.6%6.3%3.473.154.03.653.980.3
7Clay Holmes36.24125.0%8.3%2.952.161.30.814.223.8164.214822.6%8.5%3.333.113.62.951.276.7
8MacKenzie Gore46.02336.4%7.0%3.332.721.31.214.823.9178.0101129.5%8.2%3.593.373.83.649.972.3
9Jesús Luzardo41.23027.6%6.5%1.941.911.71.519.531.5172.211725.7%7.5%3.443.393.83.349.871.2
10Nick Pivetta40.15128.4%7.7%2.012.741.21.620.628.5170.114828.0%7.8%3.383.673.33.454.670.4
#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%2.611.821.81.519.834.1204.115923.3%5.8%3.042.795.24.767.8106.6
2Yoshinobu Yamamoto40.04232.0%8.5%0.902.241.42.024.935.0168.014727.8%6.9%2.732.994.44.665.693.8
3Paul Skenes42.23324.8%4.8%2.742.991.01.215.422.6178.212927.9%6.4%3.023.014.74.761.491.0
4Zack Wheeler44.02132.8%5.2%3.483.291.01.112.718.6204.013827.9%6.1%3.353.374.94.762.087.6
5Michael King38.24129.5%7.7%2.092.781.31.518.926.3178.214826.9%8.4%3.123.424.14.361.282.6
6Chris Sale35.11329.3%5.7%4.843.320.70.24.38.9176.112929.6%6.3%3.473.154.03.653.980.3
7Clay Holmes36.24125.0%8.3%2.952.161.30.814.223.8164.214822.6%8.5%3.333.113.62.951.276.7
8MacKenzie Gore46.02336.4%7.0%3.332.721.31.214.823.9178.0101129.5%8.2%3.593.373.83.649.972.3
9Jesús Luzardo41.23027.6%6.5%1.941.911.71.519.531.5172.211725.7%7.5%3.443.393.83.349.871.2
10Nick Pivetta40.15128.4%7.7%2.012.741.21.620.628.5170.114828.0%7.8%3.383.673.33.454.670.4
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