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 Skubal55.06031.6%3.8%1.801.932.12.129.144.8164.013528.5%5.1%2.852.574.94.361.696.9
2Luis Castillo54.04529.0%5.0%3.333.051.30.917.426.2192.0151127.2%6.2%3.333.214.13.461.488.9
3Corbin Burnes53.13223.3%6.7%2.713.541.01.618.524.2195.111825.0%7.2%3.373.323.83.755.481.1
4George Kirby50.04325.1%2.5%3.592.871.20.914.123.2184.0141023.3%3.3%3.473.183.83.052.579.6
5Logan Gilbert58.13227.4%8.1%3.093.520.91.418.224.5196.111824.2%7.0%3.443.593.03.353.473.3
6Pablo López50.04328.7%4.0%3.953.171.10.612.820.3185.012927.3%5.4%3.793.283.72.547.272.3
7Tanner Houck58.03524.3%4.7%2.172.211.91.723.738.4165.0111224.2%6.7%3.443.143.53.047.272.2
8Framber Valdez36.13121.2%7.5%2.983.290.61.012.217.1170.113621.4%7.9%3.283.532.63.651.269.6
9Jon Gray52.02124.1%6.5%2.082.431.71.721.233.1163.08623.8%7.2%3.423.243.73.043.866.7
10Cole Ragans56.03327.6%7.8%3.702.561.61.114.426.5167.010925.6%8.5%3.773.203.42.841.665.8
#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
1Tarik Skubal55.06031.6%3.8%1.801.932.12.129.144.8164.013528.5%5.1%2.852.574.94.361.696.9
2Luis Castillo54.04529.0%5.0%3.333.051.30.917.426.2192.0151127.2%6.2%3.333.214.13.461.488.9
3Corbin Burnes53.13223.3%6.7%2.713.541.01.618.524.2195.111825.0%7.2%3.373.323.83.755.481.1
4George Kirby50.04325.1%2.5%3.592.871.20.914.123.2184.0141023.3%3.3%3.473.183.83.052.579.6
5Logan Gilbert58.13227.4%8.1%3.093.520.91.418.224.5196.111824.2%7.0%3.443.593.03.353.473.3
6Pablo López50.04328.7%4.0%3.953.171.10.612.820.3185.012927.3%5.4%3.793.283.72.547.272.3
7Tanner Houck58.03524.3%4.7%2.172.211.91.723.738.4165.0111224.2%6.7%3.443.143.53.047.272.2
8Framber Valdez36.13121.2%7.5%2.983.290.61.012.217.1170.113621.4%7.9%3.283.532.63.651.269.6
9Jon Gray52.02124.1%6.5%2.082.431.71.721.233.1163.08623.8%7.2%3.423.243.73.043.866.7
10Cole Ragans56.03327.6%7.8%3.702.561.61.114.426.5167.010925.6%8.5%3.773.203.42.841.665.8
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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 Wheeler60.15329.1%7.8%2.542.731.81.825.237.1197.114926.4%7.3%3.243.055.24.463.094.9
2Tyler Glasnow62.06233.8%6.7%2.902.551.81.925.138.6170.016632.1%7.0%3.183.004.04.162.991.2
3Dylan Cease55.05332.7%8.2%2.452.341.81.624.337.5177.014830.5%9.3%3.153.054.23.862.591.0
4Logan Webb59.04418.7%6.8%3.052.941.21.418.228.5202.0151019.9%5.8%3.253.133.94.259.890.6
5Shota Imanaga46.15027.9%4.4%0.972.281.62.528.239.6161.112426.5%5.9%2.742.974.24.961.188.6
6Ranger Suárez59.08026.5%4.6%1.372.701.83.034.346.1175.015522.8%6.6%2.933.393.64.961.783.3
7Chris Sale49.16131.3%4.1%2.562.441.51.822.734.0158.115530.4%5.7%3.243.083.74.056.781.7
8Aaron Nola58.05223.7%6.5%3.103.571.11.619.525.5198.014924.7%5.6%3.733.364.33.551.076.1
9Yoshinobu Yamamoto47.14127.5%5.2%3.243.231.01.115.922.5178.114625.9%5.4%3.543.393.53.351.573.5
10Sonny Gray41.05231.9%4.8%3.072.791.00.816.824.7166.013724.8%6.6%3.363.492.83.251.069.7
#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 Wheeler60.15329.1%7.8%2.542.731.81.825.237.1197.114926.4%7.3%3.243.055.24.463.094.9
2Tyler Glasnow62.06233.8%6.7%2.902.551.81.925.138.6170.016632.1%7.0%3.183.004.04.162.991.2
3Dylan Cease55.05332.7%8.2%2.452.341.81.624.337.5177.014830.5%9.3%3.153.054.23.862.591.0
4Logan Webb59.04418.7%6.8%3.052.941.21.418.228.5202.0151019.9%5.8%3.253.133.94.259.890.6
5Shota Imanaga46.15027.9%4.4%0.972.281.62.528.239.6161.112426.5%5.9%2.742.974.24.961.188.6
6Ranger Suárez59.08026.5%4.6%1.372.701.83.034.346.1175.015522.8%6.6%2.933.393.64.961.783.3
7Chris Sale49.16131.3%4.1%2.562.441.51.822.734.0158.115530.4%5.7%3.243.083.74.056.781.7
8Aaron Nola58.05223.7%6.5%3.103.571.11.619.525.5198.014924.7%5.6%3.733.364.33.551.076.1
9Yoshinobu Yamamoto47.14127.5%5.2%3.243.231.01.115.922.5178.114625.9%5.4%3.543.393.53.351.573.5
10Sonny Gray41.05231.9%4.8%3.072.791.00.816.824.7166.013724.8%6.6%3.363.492.83.251.069.7
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