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%1.922.051.51.521.432.9168.112629.6%5.4%2.892.744.54.062.094.8
2Luis Castillo48.03528.4%5.6%3.562.851.30.713.622.5200.0141326.5%6.7%3.423.294.03.059.886.7
3Logan Gilbert48.03028.2%7.3%1.693.230.92.223.029.8199.012724.8%6.5%3.123.563.14.162.483.3
4George Kirby38.03226.3%2.6%3.782.071.40.510.120.4186.0131023.8%3.6%3.483.064.12.752.182.0
5Corbin Burnes41.03125.8%5.7%2.633.700.71.215.619.3195.012826.0%6.9%3.323.433.43.458.281.6
6Pablo López37.13230.2%5.4%4.353.470.70.28.112.4186.112927.9%6.2%3.673.333.62.450.374.6
7Kevin Gausman33.02321.5%5.6%3.813.660.40.17.610.8179.0121025.2%6.0%3.573.453.22.349.470.3
8Cole Ragans42.12229.8%8.3%3.412.341.31.012.522.6169.110926.5%9.0%3.623.283.33.045.768.7
9Tanner Houck45.03325.4%3.9%2.002.061.61.520.132.4160.0111024.0%6.6%3.493.223.22.945.168.0
10Joe Ryan40.11228.4%3.7%3.582.991.00.49.716.4178.1101027.4%5.5%3.743.383.32.145.167.2
#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%1.922.051.51.521.432.9168.112629.6%5.4%2.892.744.54.062.094.8
2Luis Castillo48.03528.4%5.6%3.562.851.30.713.622.5200.0141326.5%6.7%3.423.294.03.059.886.7
3Logan Gilbert48.03028.2%7.3%1.693.230.92.223.029.8199.012724.8%6.5%3.123.563.14.162.483.3
4George Kirby38.03226.3%2.6%3.782.071.40.510.120.4186.0131023.8%3.6%3.483.064.12.752.182.0
5Corbin Burnes41.03125.8%5.7%2.633.700.71.215.619.3195.012826.0%6.9%3.323.433.43.458.281.6
6Pablo López37.13230.2%5.4%4.353.470.70.28.112.4186.112927.9%6.2%3.673.333.62.450.374.6
7Kevin Gausman33.02321.5%5.6%3.813.660.40.17.610.8179.0121025.2%6.0%3.573.453.22.349.470.3
8Cole Ragans42.12229.8%8.3%3.412.341.31.012.522.6169.110926.5%9.0%3.623.283.33.045.768.7
9Tanner Houck45.03325.4%3.9%2.002.061.61.520.132.4160.0111024.0%6.6%3.493.223.22.945.168.0
10Joe Ryan40.11228.4%3.7%3.582.991.00.49.716.4178.1101027.4%5.5%3.743.383.32.145.167.2
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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%1.652.291.82.025.837.9201.0141027.0%6.4%3.003.025.55.369.7102.7
2Tyler Glasnow50.06132.3%6.7%2.702.441.51.722.333.7172.016631.5%7.2%3.142.954.24.363.893.4
3Logan Webb46.03318.3%6.1%3.512.991.00.911.619.4202.0131120.1%5.6%3.433.163.73.854.084.1
4Dylan Cease42.04229.8%8.7%2.572.481.31.117.827.3176.013829.1%9.5%3.273.263.63.558.182.4
5Sonny Gray30.04133.3%4.4%0.901.551.31.519.929.7168.013724.9%6.8%3.003.213.64.358.282.2
6Shota Imanaga34.15026.5%3.0%0.792.211.21.922.631.3166.113625.5%5.6%3.033.253.84.457.480.6
7Yoshinobu Yamamoto34.03130.0%5.7%2.912.611.00.913.220.3172.014727.0%5.9%3.453.273.53.452.876.3
8Ranger Suárez47.06026.9%3.5%1.722.801.42.425.134.0176.014722.3%6.8%3.223.583.34.655.173.1
9Chris Sale36.14129.0%4.8%3.483.010.80.912.318.3156.113629.3%6.2%3.513.263.13.348.970.4
10Max Fried38.02120.4%8.9%4.254.090.40.56.28.0180.013721.9%7.2%3.603.552.83.547.566.5
#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%1.652.291.82.025.837.9201.0141027.0%6.4%3.003.025.55.369.7102.7
2Tyler Glasnow50.06132.3%6.7%2.702.441.51.722.333.7172.016631.5%7.2%3.142.954.24.363.893.4
3Logan Webb46.03318.3%6.1%3.512.991.00.911.619.4202.0131120.1%5.6%3.433.163.73.854.084.1
4Dylan Cease42.04229.8%8.7%2.572.481.31.117.827.3176.013829.1%9.5%3.273.263.63.558.182.4
5Sonny Gray30.04133.3%4.4%0.901.551.31.519.929.7168.013724.9%6.8%3.003.213.64.358.282.2
6Shota Imanaga34.15026.5%3.0%0.792.211.21.922.631.3166.113625.5%5.6%3.033.253.84.457.480.6
7Yoshinobu Yamamoto34.03130.0%5.7%2.912.611.00.913.220.3172.014727.0%5.9%3.453.273.53.452.876.3
8Ranger Suárez47.06026.9%3.5%1.722.801.42.425.134.0176.014722.3%6.8%3.223.583.34.655.173.1
9Chris Sale36.14129.0%4.8%3.483.010.80.912.318.3156.113629.3%6.2%3.513.263.13.348.970.4
10Max Fried38.02120.4%8.9%4.254.090.40.56.28.0180.013721.9%7.2%3.603.552.83.547.566.5
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