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%1.801.932.12.129.144.8172.014629.5%5.3%2.722.555.04.668.2105.4
2Luis Castillo54.04529.0%5.0%3.333.051.30.917.426.2194.0141226.8%6.4%3.383.313.83.259.485.1
3Corbin Burnes53.13223.3%6.7%2.713.541.01.618.524.2197.112925.0%7.2%3.333.443.73.857.881.1
4George Kirby50.04325.1%2.5%3.592.871.20.914.123.2186.0131023.6%3.4%3.483.233.72.951.978.1
5Pablo López50.04328.7%4.0%3.953.171.10.612.820.3188.0131027.5%5.6%3.643.273.92.852.177.9
6Tanner Houck58.03524.3%4.7%2.172.211.91.723.738.4171.0111223.6%6.7%3.373.133.63.249.475.4
7Logan Gilbert58.13227.4%8.1%3.093.520.91.418.224.5197.111924.8%6.8%3.473.582.93.353.473.5
8Framber Valdez36.13121.2%7.5%2.983.290.61.012.217.1169.113722.2%7.7%3.243.432.93.652.172.3
9Cole Ragans56.03327.6%7.8%3.702.561.61.114.426.5174.0101025.7%8.7%3.723.263.43.143.867.8
10Joe Ryan53.02327.4%3.3%3.573.111.20.713.321.5181.0101027.0%5.2%3.733.403.42.345.467.6
#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%1.801.932.12.129.144.8172.014629.5%5.3%2.722.555.04.668.2105.4
2Luis Castillo54.04529.0%5.0%3.333.051.30.917.426.2194.0141226.8%6.4%3.383.313.83.259.485.1
3Corbin Burnes53.13223.3%6.7%2.713.541.01.618.524.2197.112925.0%7.2%3.333.443.73.857.881.1
4George Kirby50.04325.1%2.5%3.592.871.20.914.123.2186.0131023.6%3.4%3.483.233.72.951.978.1
5Pablo López50.04328.7%4.0%3.953.171.10.612.820.3188.0131027.5%5.6%3.643.273.92.852.177.9
6Tanner Houck58.03524.3%4.7%2.172.211.91.723.738.4171.0111223.6%6.7%3.373.133.63.249.475.4
7Logan Gilbert58.13227.4%8.1%3.093.520.91.418.224.5197.111924.8%6.8%3.473.582.93.353.473.5
8Framber Valdez36.13121.2%7.5%2.983.290.61.012.217.1169.113722.2%7.7%3.243.432.93.652.172.3
9Cole Ragans56.03327.6%7.8%3.702.561.61.114.426.5174.0101025.7%8.7%3.723.263.43.143.867.8
10Joe Ryan53.02327.4%3.3%3.573.111.20.713.321.5181.0101027.0%5.2%3.733.403.42.345.467.6
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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%2.542.731.81.825.237.1200.114926.3%7.0%3.193.135.24.864.795.3
2Tyler Glasnow62.06233.8%6.7%2.902.551.81.925.138.6175.015732.2%7.2%3.142.924.34.364.094.8
3Dylan Cease55.05332.7%8.2%2.452.341.81.624.337.5180.014930.3%9.3%3.153.124.13.963.290.8
4Logan Webb59.04418.7%6.8%3.052.941.21.418.228.5203.0141120.1%5.9%3.283.123.84.058.689.9
5Chris Sale49.16131.3%4.1%2.562.441.51.822.734.0162.115630.4%5.8%3.112.933.94.360.188.4
6Shota Imanaga46.15027.9%4.4%0.972.281.62.528.239.6168.112626.2%5.8%2.843.084.04.961.187.5
7Ranger Suárez59.08026.5%4.6%1.372.701.83.034.346.1178.016622.6%6.8%2.983.403.65.062.484.2
8Aaron Nola58.05223.7%6.5%3.103.571.11.619.525.5199.014924.3%5.8%3.663.474.13.852.375.0
9Sonny Gray41.05231.9%4.8%3.072.791.00.816.824.7169.013825.4%6.7%3.413.423.03.251.371.6
10Yoshinobu Yamamoto47.14127.5%5.2%3.243.231.01.115.922.5175.113726.3%5.6%3.543.413.43.350.271.5
#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 Wheeler60.15329.1%7.8%2.542.731.81.825.237.1200.114926.3%7.0%3.193.135.24.864.795.3
2Tyler Glasnow62.06233.8%6.7%2.902.551.81.925.138.6175.015732.2%7.2%3.142.924.34.364.094.8
3Dylan Cease55.05332.7%8.2%2.452.341.81.624.337.5180.014930.3%9.3%3.153.124.13.963.290.8
4Logan Webb59.04418.7%6.8%3.052.941.21.418.228.5203.0141120.1%5.9%3.283.123.84.058.689.9
5Chris Sale49.16131.3%4.1%2.562.441.51.822.734.0162.115630.4%5.8%3.112.933.94.360.188.4
6Shota Imanaga46.15027.9%4.4%0.972.281.62.528.239.6168.112626.2%5.8%2.843.084.04.961.187.5
7Ranger Suárez59.08026.5%4.6%1.372.701.83.034.346.1178.016622.6%6.8%2.983.403.65.062.484.2
8Aaron Nola58.05223.7%6.5%3.103.571.11.619.525.5199.014924.3%5.8%3.663.474.13.852.375.0
9Sonny Gray41.05231.9%4.8%3.072.791.00.816.824.7169.013825.4%6.7%3.413.423.03.251.371.6
10Yoshinobu Yamamoto47.14127.5%5.2%3.243.231.01.115.922.5175.113726.3%5.6%3.543.413.43.350.271.5
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