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
1Luis Castillo48.03528.4%5.6%3.562.851.30.713.622.5197.0141226.8%6.6%3.333.144.43.561.191.0
2Tarik Skubal42.14032.7%3.7%1.922.051.51.521.432.9158.111628.4%5.1%3.022.704.33.755.186.7
3Logan Gilbert48.03028.2%7.3%1.693.230.92.223.029.8197.012624.2%6.7%3.063.493.24.362.884.9
4George Kirby38.03226.3%2.6%3.782.071.40.610.120.4183.014923.4%3.5%3.442.964.43.053.084.3
5Corbin Burnes47.13225.3%6.5%2.863.570.91.316.321.2197.112825.8%7.1%3.423.323.83.456.382.1
6Zach Eflin48.02419.5%2.0%3.753.730.70.69.914.0182.0131122.2%3.2%3.613.443.22.547.669.0
7Kevin Gausman33.02321.5%5.6%3.813.660.50.17.610.7175.012924.9%5.7%3.653.463.22.446.967.1
8Tanner Houck45.03325.4%3.9%2.002.061.61.520.132.4153.0111024.7%6.6%3.533.243.12.743.364.7
9Pablo López37.13230.2%5.4%4.353.470.70.38.112.4182.111927.5%6.0%3.903.463.42.243.664.6
10Cole Ragans42.12229.8%8.3%3.412.341.31.012.522.6161.19926.2%8.9%3.683.253.22.941.664.0
#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
1Luis Castillo48.03528.4%5.6%3.562.851.30.713.622.5197.0141226.8%6.6%3.333.144.43.561.191.0
2Tarik Skubal42.14032.7%3.7%1.922.051.51.521.432.9158.111628.4%5.1%3.022.704.33.755.186.7
3Logan Gilbert48.03028.2%7.3%1.693.230.92.223.029.8197.012624.2%6.7%3.063.493.24.362.884.9
4George Kirby38.03226.3%2.6%3.782.071.40.610.120.4183.014923.4%3.5%3.442.964.43.053.084.3
5Corbin Burnes47.13225.3%6.5%2.863.570.91.316.321.2197.112825.8%7.1%3.423.323.83.456.382.1
6Zach Eflin48.02419.5%2.0%3.753.730.70.69.914.0182.0131122.2%3.2%3.613.443.22.547.669.0
7Kevin Gausman33.02321.5%5.6%3.813.660.50.17.610.7175.012924.9%5.7%3.653.463.22.446.967.1
8Tanner Houck45.03325.4%3.9%2.002.061.61.520.132.4153.0111024.7%6.6%3.533.243.12.743.364.7
9Pablo López37.13230.2%5.4%4.353.470.70.38.112.4182.111927.5%6.0%3.903.463.42.243.664.6
10Cole Ragans42.12229.8%8.3%3.412.341.31.012.522.6161.19926.2%8.9%3.683.253.22.941.664.0
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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
1Zack Wheeler49.04332.1%6.6%1.652.291.82.025.837.9197.014927.1%6.7%3.062.925.54.967.4102.0
2Tyler Glasnow50.06132.3%6.7%2.702.441.51.722.333.7166.017531.1%7.1%3.203.063.94.161.988.5
3Shota Imanaga41.15026.9%3.1%1.092.371.42.224.934.7164.113526.1%5.6%2.853.034.04.660.787.4
4Logan Webb46.03318.3%6.1%3.512.991.00.911.619.4199.0141019.9%5.5%3.443.173.83.954.183.5
5Dylan Cease42.04229.8%8.7%2.572.481.31.117.827.3172.013729.1%9.6%3.293.223.73.456.781.2
6Yoshinobu Yamamoto42.04127.8%4.7%2.793.101.01.216.723.2184.016726.0%5.1%3.423.333.73.756.980.8
7Sonny Gray30.04133.3%4.4%0.901.551.31.419.929.7163.012624.0%6.8%2.923.223.34.256.679.8
8Ranger Suárez47.06026.9%3.5%1.722.801.42.425.134.0172.014622.3%6.5%3.243.593.24.453.771.2
9Zac Gallen38.04226.5%7.7%2.843.380.71.215.119.8179.014923.8%7.3%3.423.702.43.953.269.2
10Reynaldo López35.02125.5%9.9%1.543.030.81.717.122.9133.011525.7%9.2%3.043.362.23.246.863.7
#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
1Zack Wheeler49.04332.1%6.6%1.652.291.82.025.837.9197.014927.1%6.7%3.062.925.54.967.4102.0
2Tyler Glasnow50.06132.3%6.7%2.702.441.51.722.333.7166.017531.1%7.1%3.203.063.94.161.988.5
3Shota Imanaga41.15026.9%3.1%1.092.371.42.224.934.7164.113526.1%5.6%2.853.034.04.660.787.4
4Logan Webb46.03318.3%6.1%3.512.991.00.911.619.4199.0141019.9%5.5%3.443.173.83.954.183.5
5Dylan Cease42.04229.8%8.7%2.572.481.31.117.827.3172.013729.1%9.6%3.293.223.73.456.781.2
6Yoshinobu Yamamoto42.04127.8%4.7%2.793.101.01.216.723.2184.016726.0%5.1%3.423.333.73.756.980.8
7Sonny Gray30.04133.3%4.4%0.901.551.31.419.929.7163.012624.0%6.8%2.923.223.34.256.679.8
8Ranger Suárez47.06026.9%3.5%1.722.801.42.425.134.0172.014622.3%6.5%3.243.593.24.453.771.2
9Zac Gallen38.04226.5%7.7%2.843.380.71.215.119.8179.014923.8%7.3%3.423.702.43.953.269.2
10Reynaldo López35.02125.5%9.9%1.543.030.81.717.122.9133.011525.7%9.2%3.043.362.23.246.863.7
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