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%1.801.932.12.129.144.8174.014729.2%5.8%2.902.784.74.365.298.5
2Luis Castillo54.04529.0%5.0%3.333.051.30.917.426.2200.0141226.9%6.7%3.463.403.73.158.983.5
3Corbin Burnes53.13223.3%6.7%2.713.541.01.618.524.2201.112925.5%7.2%3.313.533.63.959.481.1
4Pablo López50.04328.7%4.0%3.953.171.10.612.820.3195.0141027.5%5.8%3.643.323.83.054.379.9
5George Kirby50.04325.1%2.5%3.592.871.20.914.123.2192.0141023.9%3.4%3.563.223.92.952.579.9
6Framber Valdez36.13121.2%7.5%2.983.290.61.012.217.1171.113723.4%7.8%3.313.392.93.652.273.3
7Kevin Gausman36.02322.6%6.1%4.993.790.4-0.43.76.6178.0121027.5%6.3%3.743.233.72.147.472.6
8Logan Gilbert58.13227.4%8.1%3.093.520.91.418.224.5198.112825.4%6.3%3.593.622.92.952.271.6
9Cole Ragans56.03327.6%7.8%3.702.561.61.114.426.5177.0101026.2%9.1%3.813.413.22.943.064.5
10Tanner Houck58.03524.3%4.7%2.172.211.91.723.738.4167.0101222.7%7.1%3.503.432.92.844.464.3
#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%1.801.932.12.129.144.8174.014729.2%5.8%2.902.784.74.365.298.5
2Luis Castillo54.04529.0%5.0%3.333.051.30.917.426.2200.0141226.9%6.7%3.463.403.73.158.983.5
3Corbin Burnes53.13223.3%6.7%2.713.541.01.618.524.2201.112925.5%7.2%3.313.533.63.959.481.1
4Pablo López50.04328.7%4.0%3.953.171.10.612.820.3195.0141027.5%5.8%3.643.323.83.054.379.9
5George Kirby50.04325.1%2.5%3.592.871.20.914.123.2192.0141023.9%3.4%3.563.223.92.952.579.9
6Framber Valdez36.13121.2%7.5%2.983.290.61.012.217.1171.113723.4%7.8%3.313.392.93.652.273.3
7Kevin Gausman36.02322.6%6.1%4.993.790.4-0.43.76.6178.0121027.5%6.3%3.743.233.72.147.472.6
8Logan Gilbert58.13227.4%8.1%3.093.520.91.418.224.5198.112825.4%6.3%3.593.622.92.952.271.6
9Cole Ragans56.03327.6%7.8%3.702.561.61.114.426.5177.0101026.2%9.1%3.813.413.22.943.064.5
10Tanner Houck58.03524.3%4.7%2.172.211.91.723.738.4167.0101222.7%7.1%3.503.432.92.844.464.3
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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%2.542.731.81.825.237.1204.115926.7%6.4%3.223.155.14.766.296.9
2Logan Webb59.04418.7%6.8%3.052.941.21.418.228.5207.0131220.9%5.6%3.353.064.14.157.590.6
3Tyler Glasnow62.06233.8%6.7%2.902.551.81.925.138.6174.015732.3%7.4%3.313.054.04.060.388.4
4Dylan Cease55.05332.7%8.2%2.452.341.81.624.337.5180.013929.1%9.5%3.453.393.53.255.477.6
5Ranger Suárez59.08026.5%4.6%1.372.701.83.034.346.1173.015622.6%7.4%3.123.513.34.557.476.4
6Shota Imanaga46.15027.9%4.4%0.972.281.62.528.239.6165.112625.3%6.2%3.113.373.24.254.875.5
7Chris Sale49.16131.3%4.1%2.562.441.51.822.734.0160.114729.5%6.1%3.433.253.33.752.374.6
8Aaron Nola58.05223.7%6.5%3.103.571.11.619.525.5202.014925.3%5.6%3.653.573.93.753.774.5
9Zac Gallen44.05225.3%7.9%2.863.580.71.417.522.0182.014825.1%7.0%3.513.532.83.852.772.4
10Yoshinobu Yamamoto47.14127.5%5.2%3.243.231.01.115.922.5174.113726.7%6.2%3.563.373.53.150.171.9
#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%2.542.731.81.825.237.1204.115926.7%6.4%3.223.155.14.766.296.9
2Logan Webb59.04418.7%6.8%3.052.941.21.418.228.5207.0131220.9%5.6%3.353.064.14.157.590.6
3Tyler Glasnow62.06233.8%6.7%2.902.551.81.925.138.6174.015732.3%7.4%3.313.054.04.060.388.4
4Dylan Cease55.05332.7%8.2%2.452.341.81.624.337.5180.013929.1%9.5%3.453.393.53.255.477.6
5Ranger Suárez59.08026.5%4.6%1.372.701.83.034.346.1173.015622.6%7.4%3.123.513.34.557.476.4
6Shota Imanaga46.15027.9%4.4%0.972.281.62.528.239.6165.112625.3%6.2%3.113.373.24.254.875.5
7Chris Sale49.16131.3%4.1%2.562.441.51.822.734.0160.114729.5%6.1%3.433.253.33.752.374.6
8Aaron Nola58.05223.7%6.5%3.103.571.11.619.525.5202.014925.3%5.6%3.653.573.93.753.774.5
9Zac Gallen44.05225.3%7.9%2.863.580.71.417.522.0182.014825.1%7.0%3.513.532.83.852.772.4
10Yoshinobu Yamamoto47.14127.5%5.2%3.243.231.01.115.922.5174.113726.7%6.2%3.563.373.53.150.171.9
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