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
1Garrett Crochet37.02229.7%10.1%1.952.221.31.216.926.3171.013830.8%8.6%2.742.695.34.868.0102.4
2Hunter Brown31.03128.2%5.5%1.162.031.21.617.626.1172.013925.4%7.8%3.193.353.93.755.877.7
3Max Fried31.24022.7%5.3%1.422.900.81.017.823.5179.215722.5%6.6%3.063.423.63.760.682.1
4Chris Bassitt28.22128.6%5.0%1.881.491.31.213.723.3177.2121023.1%7.4%3.553.603.42.948.266.0
5Kris Bubic31.02126.0%7.1%1.452.381.11.315.823.1146.08723.7%8.0%3.333.472.72.741.658.2
6Nathan Eovaldi36.22227.1%2.1%2.212.591.01.115.122.9180.2111023.9%5.3%3.543.533.42.848.067.5
7Tyler Mahle26.23024.8%11.9%0.672.500.81.616.822.7143.210722.8%8.9%3.513.822.32.739.450.3
8Logan Gilbert30.11137.6%5.1%2.372.111.01.012.620.6173.110828.4%5.6%3.123.143.93.456.582.6
9Shane Baz29.13031.6%7.9%2.453.030.71.013.318.1148.19724.9%8.6%3.763.992.11.836.645.0
10Drew Rasmussen25.21127.8%6.2%2.102.250.81.010.517.0131.28625.0%6.2%3.083.082.72.542.163.0
#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
1Garrett Crochet37.02229.7%10.1%1.952.221.31.216.926.3171.013830.8%8.6%2.742.695.34.868.0102.4
2Hunter Brown31.03128.2%5.5%1.162.031.21.617.626.1172.013925.4%7.8%3.193.353.93.755.877.7
3Max Fried31.24022.7%5.3%1.422.900.81.017.823.5179.215722.5%6.6%3.063.423.63.760.682.1
4Chris Bassitt28.22128.6%5.0%1.881.491.31.213.723.3177.2121023.1%7.4%3.553.603.42.948.266.0
5Kris Bubic31.02126.0%7.1%1.452.381.11.315.823.1146.08723.7%8.0%3.333.472.72.741.658.2
6Nathan Eovaldi36.22227.1%2.1%2.212.591.01.115.122.9180.2111023.9%5.3%3.543.533.42.848.067.5
7Tyler Mahle26.23024.8%11.9%0.672.500.81.616.822.7143.210722.8%8.9%3.513.822.32.739.450.3
8Logan Gilbert30.11137.6%5.1%2.372.111.01.012.620.6173.110828.4%5.6%3.123.143.93.456.582.6
9Shane Baz29.13031.6%7.9%2.453.030.71.013.318.1148.19724.9%8.6%3.763.992.11.836.645.0
10Drew Rasmussen25.21127.8%6.2%2.102.250.81.010.517.0131.28625.0%6.2%3.083.082.72.542.163.0
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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
1Yoshinobu Yamamoto34.03232.6%8.3%1.062.231.11.520.328.9171.014827.7%6.9%2.893.044.24.163.591.3
2Logan Webb36.13130.8%7.0%1.981.791.31.417.628.5203.115923.3%5.9%2.972.874.74.669.1105.9
3Paul Skenes37.23227.5%2.8%2.391.701.51.215.727.4184.213829.0%5.8%2.832.635.75.068.7107.1
4Nick Pivetta30.04127.0%6.3%1.202.161.11.718.025.8169.013927.8%7.5%3.363.593.23.553.570.7
5Jesús Luzardo30.12030.0%5.8%2.081.781.21.213.822.9171.111826.2%7.6%3.623.553.22.746.364.4
6Andrew Heaney31.12126.3%5.1%1.722.231.11.514.822.7148.18922.7%6.9%3.763.832.32.534.345.4
7Tylor Megill24.23227.8%10.2%1.092.181.00.815.321.7102.28625.3%9.4%3.243.491.71.333.445.0
8MacKenzie Gore35.02337.3%6.3%3.341.971.30.811.821.6177.0111229.0%8.3%3.563.303.83.250.974.6
9Michael King33.03129.6%8.1%2.182.880.91.215.521.5181.014826.9%8.6%3.233.483.73.759.880.3
10Kodai Senga28.23122.5%8.1%1.262.780.71.215.821.3163.212824.5%9.7%3.193.722.53.052.566.8
#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
1Yoshinobu Yamamoto34.03232.6%8.3%1.062.231.11.520.328.9171.014827.7%6.9%2.893.044.24.163.591.3
2Logan Webb36.13130.8%7.0%1.981.791.31.417.628.5203.115923.3%5.9%2.972.874.74.669.1105.9
3Paul Skenes37.23227.5%2.8%2.391.701.51.215.727.4184.213829.0%5.8%2.832.635.75.068.7107.1
4Nick Pivetta30.04127.0%6.3%1.202.161.11.718.025.8169.013927.8%7.5%3.363.593.23.553.570.7
5Jesús Luzardo30.12030.0%5.8%2.081.781.21.213.822.9171.111826.2%7.6%3.623.553.22.746.364.4
6Andrew Heaney31.12126.3%5.1%1.722.231.11.514.822.7148.18922.7%6.9%3.763.832.32.534.345.4
7Tylor Megill24.23227.8%10.2%1.092.181.00.815.321.7102.28625.3%9.4%3.243.491.71.333.445.0
8MacKenzie Gore35.02337.3%6.3%3.341.971.30.811.821.6177.0111229.0%8.3%3.563.303.83.250.974.6
9Michael King33.03129.6%8.1%2.182.880.91.215.521.5181.014826.9%8.6%3.233.483.73.759.880.3
10Kodai Senga28.23122.5%8.1%1.262.780.71.215.821.3163.212824.5%9.7%3.193.722.53.052.566.8
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