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
1Max Fried51.26022.6%5.3%1.052.901.32.230.539.7195.216722.4%6.3%2.763.324.14.971.897.4
2Seth Lugo50.23318.5%7.5%2.844.370.51.416.016.7194.2111219.4%7.0%3.744.182.43.243.150.0
3Luis Severino49.21318.3%8.2%3.623.700.90.99.614.1185.281119.3%7.9%4.174.122.51.830.138.0
4Garrett Crochet49.03228.6%10.2%2.022.831.31.722.131.2172.013730.1%8.8%2.772.824.85.067.299.4
5Nathan Eovaldi48.23228.5%2.2%2.032.211.61.721.634.0181.211924.7%5.0%3.323.304.03.553.077.3
6Carlos Rodón48.24330.3%10.6%2.963.580.91.118.023.0183.2131127.9%8.9%3.723.813.12.549.963.9
7Framber Valdez48.02422.4%8.7%3.943.800.70.89.413.1190.0121122.3%8.2%3.603.713.23.348.665.2
8José Berríos46.21122.7%10.6%3.864.810.30.78.87.3196.291021.0%8.0%4.164.521.81.933.933.5
9Michael Wacha45.12418.4%7.6%2.983.091.21.413.120.2165.191219.4%7.4%3.813.863.12.935.146.8
10Bryan Woo44.14125.3%4.6%3.252.891.21.014.622.5158.111724.0%5.1%3.523.443.12.443.662.2
#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
1Max Fried51.26022.6%5.3%1.052.901.32.230.539.7195.216722.4%6.3%2.763.324.14.971.897.4
2Seth Lugo50.23318.5%7.5%2.844.370.51.416.016.7194.2111219.4%7.0%3.744.182.43.243.150.0
3Luis Severino49.21318.3%8.2%3.623.700.90.99.614.1185.281119.3%7.9%4.174.122.51.830.138.0
4Garrett Crochet49.03228.6%10.2%2.022.831.31.722.131.2172.013730.1%8.8%2.772.824.85.067.299.4
5Nathan Eovaldi48.23228.5%2.2%2.032.211.61.721.634.0181.211924.7%5.0%3.323.304.03.553.077.3
6Carlos Rodón48.24330.3%10.6%2.963.580.91.118.023.0183.2131127.9%8.9%3.723.813.12.549.963.9
7Framber Valdez48.02422.4%8.7%3.943.800.70.89.413.1190.0121122.3%8.2%3.603.713.23.348.665.2
8José Berríos46.21122.7%10.6%3.864.810.30.78.87.3196.291021.0%8.0%4.164.521.81.933.933.5
9Michael Wacha45.12418.4%7.6%2.983.091.21.413.120.2165.191219.4%7.4%3.813.863.12.935.146.8
10Bryan Woo44.14125.3%4.6%3.252.891.21.014.622.5158.111724.0%5.1%3.523.443.12.443.662.2
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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 Wheeler51.03133.3%4.5%3.353.191.21.416.123.5208.014828.4%5.8%3.333.265.14.964.893.4
2Paul Skenes48.23424.7%6.3%2.773.031.21.417.025.0182.2121027.6%6.9%3.012.994.74.862.793.4
3Logan Webb48.14228.7%6.7%2.611.851.81.519.834.0201.115923.4%5.8%3.082.795.04.766.1104.3
4Jake Irvin48.02116.8%7.1%3.945.090.10.98.35.1173.08918.3%7.5%4.424.781.01.722.917.5
5Sonny Gray46.14125.3%5.9%3.503.590.90.813.918.6182.113825.3%6.5%3.553.573.33.251.270.0
6MacKenzie Gore46.02336.4%7.0%3.332.741.31.214.823.8175.0101129.6%8.2%3.603.393.73.549.170.7
7Hunter Greene45.24234.7%4.5%2.363.071.31.920.928.2174.212930.4%7.2%3.453.593.94.253.871.5
8Freddy Peralta45.14226.5%8.3%2.183.471.01.920.525.7177.113926.9%8.8%3.353.763.34.055.470.0
9Zac Gallen45.13425.7%11.0%4.374.110.30.68.610.6183.1131124.1%8.8%3.933.902.22.843.455.6
10Mitch Keller45.01417.6%7.5%4.403.670.80.45.09.2182.081319.7%7.5%4.204.012.52.129.539.5
#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 Wheeler51.03133.3%4.5%3.353.191.21.416.123.5208.014828.4%5.8%3.333.265.14.964.893.4
2Paul Skenes48.23424.7%6.3%2.773.031.21.417.025.0182.2121027.6%6.9%3.012.994.74.862.793.4
3Logan Webb48.14228.7%6.7%2.611.851.81.519.834.0201.115923.4%5.8%3.082.795.04.766.1104.3
4Jake Irvin48.02116.8%7.1%3.945.090.10.98.35.1173.08918.3%7.5%4.424.781.01.722.917.5
5Sonny Gray46.14125.3%5.9%3.503.590.90.813.918.6182.113825.3%6.5%3.553.573.33.251.270.0
6MacKenzie Gore46.02336.4%7.0%3.332.741.31.214.823.8175.0101129.6%8.2%3.603.393.73.549.170.7
7Hunter Greene45.24234.7%4.5%2.363.071.31.920.928.2174.212930.4%7.2%3.453.593.94.253.871.5
8Freddy Peralta45.14226.5%8.3%2.183.471.01.920.525.7177.113926.9%8.8%3.353.763.34.055.470.0
9Zac Gallen45.13425.7%11.0%4.374.110.30.68.610.6183.1131124.1%8.8%3.933.902.22.843.455.6
10Mitch Keller45.01417.6%7.5%4.403.670.80.45.09.2182.081319.7%7.5%4.204.012.52.129.539.5
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