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 Skubal36.14029.7%4.3%1.742.211.31.419.228.4168.113728.2%5.8%2.942.854.44.161.292.0
2Corbin Burnes35.03025.5%5.8%2.563.720.71.114.017.1198.013726.0%7.0%3.363.463.63.659.182.0
3George Kirby32.03228.4%3.0%4.212.091.20.37.816.4188.0141024.2%3.8%3.543.154.12.752.781.0
4Logan Gilbert40.02029.3%6.0%2.033.280.81.617.422.8199.011824.9%6.1%3.263.593.13.958.678.7
5Luis Castillo34.12428.8%4.8%4.213.240.80.27.312.1194.1131226.3%6.6%3.573.433.72.854.377.3
6Framber Valdez17.01023.5%8.8%2.632.710.40.66.29.5169.012623.1%8.1%3.253.393.03.551.872.6
7Pablo López31.12229.4%5.6%4.903.980.40.04.36.1188.1121027.6%6.3%3.833.473.42.547.469.0
8Zach Eflin35.01320.3%2.7%4.103.750.50.35.58.5182.0111122.6%3.9%3.613.473.12.545.966.8
9Tanner Houck39.03226.5%3.2%1.612.031.41.619.630.4159.011924.3%6.6%3.453.323.13.145.766.5
10Joe Ryan28.11132.8%3.4%3.512.860.80.37.913.0174.111928.4%5.7%3.723.483.32.246.466.1
#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 Skubal36.14029.7%4.3%1.742.211.31.419.228.4168.113728.2%5.8%2.942.854.44.161.292.0
2Corbin Burnes35.03025.5%5.8%2.563.720.71.114.017.1198.013726.0%7.0%3.363.463.63.659.182.0
3George Kirby32.03228.4%3.0%4.212.091.20.37.816.4188.0141024.2%3.8%3.543.154.12.752.781.0
4Logan Gilbert40.02029.3%6.0%2.033.280.81.617.422.8199.011824.9%6.1%3.263.593.13.958.678.7
5Luis Castillo34.12428.8%4.8%4.213.240.80.27.312.1194.1131226.3%6.6%3.573.433.72.854.377.3
6Framber Valdez17.01023.5%8.8%2.632.710.40.66.29.5169.012623.1%8.1%3.253.393.03.551.872.6
7Pablo López31.12229.4%5.6%4.903.980.40.04.36.1188.1121027.6%6.3%3.833.473.42.547.469.0
8Zach Eflin35.01320.3%2.7%4.103.750.50.35.58.5182.0111122.6%3.9%3.613.473.12.545.966.8
9Tanner Houck39.03226.5%3.2%1.612.031.41.619.630.4159.011924.3%6.6%3.453.323.13.145.766.5
10Joe Ryan28.11132.8%3.4%3.512.860.80.37.913.0174.111928.4%5.7%3.723.483.32.246.466.1
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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 Wheeler37.02331.1%7.4%1.942.451.41.417.125.6198.0131026.1%6.7%3.183.175.24.963.292.4
2Logan Webb38.13117.0%4.6%2.362.790.91.514.722.0204.114919.9%5.1%3.223.163.84.659.990.3
3Tyler Glasnow43.05131.5%7.1%2.722.761.21.518.827.1164.015631.1%7.4%3.183.113.74.059.685.0
4Shota Imanaga27.14025.9%2.8%0.992.410.91.417.423.7167.113725.3%5.8%3.183.383.44.055.075.7
5Sonny Gray23.03136.0%4.5%1.171.491.00.914.822.5168.012824.8%7.1%3.163.353.33.854.375.7
6Dylan Cease35.13228.8%10.1%2.812.841.00.813.620.1177.112928.6%10.0%3.453.463.33.253.774.2
7Ranger Suárez41.05027.8%3.5%1.322.621.32.423.532.1177.013722.3%7.0%3.203.553.34.754.773.4
8Yoshinobu Yamamoto28.02131.9%5.2%3.542.680.80.58.714.4174.013727.2%5.7%3.623.413.33.149.270.3
9Zac Gallen32.03226.3%6.8%3.383.560.50.810.513.9191.0141024.3%6.9%3.633.692.73.851.969.1
10Aaron Nola39.04122.9%7.0%3.224.510.31.013.113.1201.0141024.3%5.7%3.803.773.63.649.666.0
#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
1Zack Wheeler37.02331.1%7.4%1.942.451.41.417.125.6198.0131026.1%6.7%3.183.175.24.963.292.4
2Logan Webb38.13117.0%4.6%2.362.790.91.514.722.0204.114919.9%5.1%3.223.163.84.659.990.3
3Tyler Glasnow43.05131.5%7.1%2.722.761.21.518.827.1164.015631.1%7.4%3.183.113.74.059.685.0
4Shota Imanaga27.14025.9%2.8%0.992.410.91.417.423.7167.113725.3%5.8%3.183.383.44.055.075.7
5Sonny Gray23.03136.0%4.5%1.171.491.00.914.822.5168.012824.8%7.1%3.163.353.33.854.375.7
6Dylan Cease35.13228.8%10.1%2.812.841.00.813.620.1177.112928.6%10.0%3.453.463.33.253.774.2
7Ranger Suárez41.05027.8%3.5%1.322.621.32.423.532.1177.013722.3%7.0%3.203.553.34.754.773.4
8Yoshinobu Yamamoto28.02131.9%5.2%3.542.680.80.58.714.4174.013727.2%5.7%3.623.413.33.149.270.3
9Zac Gallen32.03226.3%6.8%3.383.560.50.810.513.9191.0141024.3%6.9%3.633.692.73.851.969.1
10Aaron Nola39.04122.9%7.0%3.224.510.31.013.113.1201.0141024.3%5.7%3.803.773.63.649.666.0
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