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 Skubal42.14032.7%3.7%1.922.051.51.521.432.9167.112629.6%5.4%2.852.764.64.262.494.8
2Luis Castillo48.03528.4%5.6%3.562.851.30.713.622.5199.0131326.5%6.7%3.393.304.13.359.285.7
3Logan Gilbert48.03028.2%7.3%1.693.230.92.223.029.8198.012724.9%6.4%3.093.493.14.362.885.1
4Corbin Burnes47.13225.3%6.5%2.863.570.91.316.321.2200.112925.9%7.1%3.373.413.73.758.382.5
5George Kirby38.03226.3%2.6%3.782.071.40.610.120.4185.0131023.7%3.6%3.453.084.23.052.481.7
6Pablo López37.13230.2%5.4%4.353.470.70.38.112.4185.112927.9%6.2%3.693.343.62.649.773.6
7Kevin Gausman33.02321.5%5.6%3.813.660.50.17.610.7178.0121025.2%6.0%3.593.463.22.448.869.3
8Zach Eflin48.02419.5%2.0%3.753.730.70.69.914.0186.0121122.0%3.4%3.633.453.02.646.868.6
9Cole Ragans42.12229.8%8.3%3.412.341.31.012.522.6168.110926.6%9.1%3.643.293.33.245.167.7
10Joe Ryan40.11228.4%3.7%3.582.991.10.49.716.4177.1101027.4%5.5%3.713.403.42.245.567.2
#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 Skubal42.14032.7%3.7%1.922.051.51.521.432.9167.112629.6%5.4%2.852.764.64.262.494.8
2Luis Castillo48.03528.4%5.6%3.562.851.30.713.622.5199.0131326.5%6.7%3.393.304.13.359.285.7
3Logan Gilbert48.03028.2%7.3%1.693.230.92.223.029.8198.012724.9%6.4%3.093.493.14.362.885.1
4Corbin Burnes47.13225.3%6.5%2.863.570.91.316.321.2200.112925.9%7.1%3.373.413.73.758.382.5
5George Kirby38.03226.3%2.6%3.782.071.40.610.120.4185.0131023.7%3.6%3.453.084.23.052.481.7
6Pablo López37.13230.2%5.4%4.353.470.70.38.112.4185.112927.9%6.2%3.693.343.62.649.773.6
7Kevin Gausman33.02321.5%5.6%3.813.660.50.17.610.7178.0121025.2%6.0%3.593.463.22.448.869.3
8Zach Eflin48.02419.5%2.0%3.753.730.70.69.914.0186.0121122.0%3.4%3.633.453.02.646.868.6
9Cole Ragans42.12229.8%8.3%3.412.341.31.012.522.6168.110926.6%9.1%3.643.293.33.245.167.7
10Joe Ryan40.11228.4%3.7%3.582.991.10.49.716.4177.1101027.4%5.5%3.713.403.42.245.567.2
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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%1.652.291.82.025.837.9200.0141027.1%6.5%2.973.035.55.370.1102.7
2Tyler Glasnow50.06132.3%6.7%2.702.441.51.722.333.7171.016631.3%7.2%3.112.974.24.364.193.1
3Shota Imanaga41.15026.9%3.1%1.092.371.42.224.934.7173.113625.6%5.5%3.013.223.84.759.784.2
4Sonny Gray30.04133.3%4.4%0.901.551.31.419.929.7167.013724.9%6.9%2.963.213.64.258.682.5
5Logan Webb46.03318.3%6.1%3.512.991.00.911.619.4200.0131120.0%5.6%3.463.183.73.652.882.1
6Dylan Cease42.04229.8%8.7%2.572.481.31.117.827.3175.013828.9%9.6%3.293.293.63.457.481.1
7Yoshinobu Yamamoto42.04127.8%4.7%2.793.101.01.216.723.2180.014726.3%5.5%3.453.363.53.654.176.9
8Ranger Suárez47.06026.9%3.5%1.722.801.42.425.134.0175.014622.3%6.7%3.243.583.34.554.572.4
9Zac Gallen38.04226.5%7.7%2.843.380.71.215.119.8181.0141024.3%7.2%3.483.622.73.952.870.4
10Chris Sale36.14129.0%4.8%3.483.010.80.912.318.3155.113629.4%6.3%3.543.273.13.348.369.5
#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
1Zack Wheeler49.04332.1%6.6%1.652.291.82.025.837.9200.0141027.1%6.5%2.973.035.55.370.1102.7
2Tyler Glasnow50.06132.3%6.7%2.702.441.51.722.333.7171.016631.3%7.2%3.112.974.24.364.193.1
3Shota Imanaga41.15026.9%3.1%1.092.371.42.224.934.7173.113625.6%5.5%3.013.223.84.759.784.2
4Sonny Gray30.04133.3%4.4%0.901.551.31.419.929.7167.013724.9%6.9%2.963.213.64.258.682.5
5Logan Webb46.03318.3%6.1%3.512.991.00.911.619.4200.0131120.0%5.6%3.463.183.73.652.882.1
6Dylan Cease42.04229.8%8.7%2.572.481.31.117.827.3175.013828.9%9.6%3.293.293.63.457.481.1
7Yoshinobu Yamamoto42.04127.8%4.7%2.793.101.01.216.723.2180.014726.3%5.5%3.453.363.53.654.176.9
8Ranger Suárez47.06026.9%3.5%1.722.801.42.425.134.0175.014622.3%6.7%3.243.583.34.554.572.4
9Zac Gallen38.04226.5%7.7%2.843.380.71.215.119.8181.0141024.3%7.2%3.483.622.73.952.870.4
10Chris Sale36.14129.0%4.8%3.483.010.80.912.318.3155.113629.4%6.3%3.543.273.13.348.369.5
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