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%1.801.932.12.129.144.8171.014731.0%5.5%2.632.565.45.170.4107.3
2Luis Castillo54.04529.0%5.0%3.333.051.30.917.426.2202.0131327.0%6.7%3.473.354.33.658.384.1
3Pablo López50.04328.7%4.0%3.953.171.10.612.820.3186.0131127.1%5.7%3.683.264.13.150.676.4
4George Kirby50.04325.1%2.5%3.592.871.20.914.123.2181.0121123.4%3.6%3.583.294.13.247.672.0
5Corbin Burnes53.13223.3%6.7%2.713.541.01.618.524.2191.1121023.7%7.1%3.443.643.63.953.171.3
6Logan Gilbert58.13227.4%8.1%3.093.520.91.418.224.5197.1111025.4%6.4%3.613.643.43.450.769.6
7Joe Ryan53.02327.4%3.3%3.573.111.20.713.321.5185.0101128.1%5.2%3.653.483.92.948.569.4
8Tanner Houck58.03524.3%4.7%2.172.211.91.723.738.4159.0101322.8%6.6%3.343.163.52.845.669.2
9Cole Ragans56.03327.6%7.8%3.702.561.61.114.426.5175.0101026.5%8.3%3.753.233.92.943.968.6
10Yusei Kikuchi52.02326.3%4.8%2.602.591.71.718.529.5176.091126.7%7.3%3.583.433.73.246.567.4
#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%1.801.932.12.129.144.8171.014731.0%5.5%2.632.565.45.170.4107.3
2Luis Castillo54.04529.0%5.0%3.333.051.30.917.426.2202.0131327.0%6.7%3.473.354.33.658.384.1
3Pablo López50.04328.7%4.0%3.953.171.10.612.820.3186.0131127.1%5.7%3.683.264.13.150.676.4
4George Kirby50.04325.1%2.5%3.592.871.20.914.123.2181.0121123.4%3.6%3.583.294.13.247.672.0
5Corbin Burnes53.13223.3%6.7%2.713.541.01.618.524.2191.1121023.7%7.1%3.443.643.63.953.171.3
6Logan Gilbert58.13227.4%8.1%3.093.520.91.418.224.5197.1111025.4%6.4%3.613.643.43.450.769.6
7Joe Ryan53.02327.4%3.3%3.573.111.20.713.321.5185.0101128.1%5.2%3.653.483.92.948.569.4
8Tanner Houck58.03524.3%4.7%2.172.211.91.723.738.4159.0101322.8%6.6%3.343.163.52.845.669.2
9Cole Ragans56.03327.6%7.8%3.702.561.61.114.426.5175.0101026.5%8.3%3.753.233.92.943.968.6
10Yusei Kikuchi52.02326.3%4.8%2.602.591.71.718.529.5176.091126.7%7.3%3.583.433.73.246.567.4
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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%2.542.731.81.825.237.1207.1151026.5%6.6%3.213.165.34.667.097.8
2Tyler Glasnow62.06233.8%6.7%2.902.551.81.925.138.6176.015732.9%7.2%3.222.894.54.263.094.4
3Dylan Cease55.05332.7%8.2%2.452.341.81.624.337.5188.0141030.7%9.1%3.213.114.74.164.393.4
4Chris Sale49.16131.3%4.1%2.562.441.51.822.734.0172.116630.5%6.2%3.192.954.44.262.492.0
5Logan Webb59.04418.7%6.8%3.052.941.21.418.228.5199.0131119.5%5.7%3.353.114.34.154.685.5
6Ranger Suárez59.08026.5%4.6%1.372.701.83.034.346.1178.016722.2%6.9%3.083.533.54.560.079.2
7Sonny Gray41.05231.9%4.8%3.072.791.00.816.824.7164.013927.6%6.8%3.403.163.73.251.676.1
8Yoshinobu Yamamoto47.14127.5%5.2%3.243.231.01.115.922.5165.113625.9%5.9%3.493.323.63.349.170.8
9Shota Imanaga46.15027.9%4.4%0.972.281.62.528.239.6161.112725.9%6.1%3.243.523.23.851.769.3
10Freddy Peralta49.13231.2%8.3%4.213.451.00.811.016.7170.111930.0%8.0%3.653.433.83.348.168.4
#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%2.542.731.81.825.237.1207.1151026.5%6.6%3.213.165.34.667.097.8
2Tyler Glasnow62.06233.8%6.7%2.902.551.81.925.138.6176.015732.9%7.2%3.222.894.54.263.094.4
3Dylan Cease55.05332.7%8.2%2.452.341.81.624.337.5188.0141030.7%9.1%3.213.114.74.164.393.4
4Chris Sale49.16131.3%4.1%2.562.441.51.822.734.0172.116630.5%6.2%3.192.954.44.262.492.0
5Logan Webb59.04418.7%6.8%3.052.941.21.418.228.5199.0131119.5%5.7%3.353.114.34.154.685.5
6Ranger Suárez59.08026.5%4.6%1.372.701.83.034.346.1178.016722.2%6.9%3.083.533.54.560.079.2
7Sonny Gray41.05231.9%4.8%3.072.791.00.816.824.7164.013927.6%6.8%3.403.163.73.251.676.1
8Yoshinobu Yamamoto47.14127.5%5.2%3.243.231.01.115.922.5165.113625.9%5.9%3.493.323.63.349.170.8
9Shota Imanaga46.15027.9%4.4%0.972.281.62.528.239.6161.112725.9%6.1%3.243.523.23.851.769.3
10Freddy Peralta49.13231.2%8.3%4.213.451.00.811.016.7170.111930.0%8.0%3.653.433.83.348.168.4
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