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%1.801.942.02.129.144.7168.014731.3%5.5%2.572.515.35.170.6107.8
2Luis Castillo60.04526.8%6.1%3.293.211.31.018.627.3200.0131226.5%6.8%3.463.384.23.757.782.6
3Pablo López50.04328.7%4.0%3.953.181.10.612.820.2185.0131127.2%5.7%3.703.274.13.050.175.4
4Corbin Burnes53.13223.3%6.7%2.713.561.01.618.524.1192.1121023.7%7.0%3.423.663.53.953.671.6
5George Kirby50.04325.1%2.5%3.592.881.20.914.123.1175.0121023.3%3.5%3.603.293.93.246.069.6
6Tanner Houck58.03524.3%4.7%2.172.231.91.723.738.3158.0101322.7%6.5%3.363.183.42.945.068.3
7Logan Gilbert58.13227.4%8.1%3.093.540.91.418.224.4192.1111025.4%6.5%3.613.643.33.449.768.1
8Joe Ryan53.02327.4%3.3%3.573.121.20.713.321.4180.0101027.8%5.2%3.653.513.72.847.267.0
9Cole Ragans56.03327.6%7.8%3.702.571.61.214.426.4174.0101026.1%8.2%3.833.283.82.842.065.7
10Yusei Kikuchi52.02326.3%4.8%2.602.611.71.718.529.4169.091026.7%7.3%3.573.453.63.245.265.0
#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
1Tarik Skubal55.06031.6%3.8%1.801.942.02.129.144.7168.014731.3%5.5%2.572.515.35.170.6107.8
2Luis Castillo60.04526.8%6.1%3.293.211.31.018.627.3200.0131226.5%6.8%3.463.384.23.757.782.6
3Pablo López50.04328.7%4.0%3.953.181.10.612.820.2185.0131127.2%5.7%3.703.274.13.050.175.4
4Corbin Burnes53.13223.3%6.7%2.713.561.01.618.524.1192.1121023.7%7.0%3.423.663.53.953.671.6
5George Kirby50.04325.1%2.5%3.592.881.20.914.123.1175.0121023.3%3.5%3.603.293.93.246.069.6
6Tanner Houck58.03524.3%4.7%2.172.231.91.723.738.3158.0101322.7%6.5%3.363.183.42.945.068.3
7Logan Gilbert58.13227.4%8.1%3.093.540.91.418.224.4192.1111025.4%6.5%3.613.643.33.449.768.1
8Joe Ryan53.02327.4%3.3%3.573.121.20.713.321.4180.0101027.8%5.2%3.653.513.72.847.267.0
9Cole Ragans56.03327.6%7.8%3.702.571.61.214.426.4174.0101026.1%8.2%3.833.283.82.842.065.7
10Yusei Kikuchi52.02326.3%4.8%2.602.611.71.718.529.4169.091026.7%7.3%3.573.453.63.245.265.0
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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%2.542.741.81.825.236.9200.115926.6%6.7%3.193.155.24.565.895.8
2Tyler Glasnow62.06233.8%6.7%2.902.561.81.925.138.4176.015732.7%7.0%3.272.904.44.161.993.1
3Dylan Cease55.05332.7%8.2%2.452.361.81.624.337.4187.0141030.7%9.0%3.223.134.64.263.692.1
4Chris Sale49.16131.3%4.1%2.562.451.51.822.733.9172.116630.6%6.1%3.192.964.54.362.592.0
5Logan Webb59.04418.7%6.8%3.052.961.21.418.228.4197.0131119.3%5.6%3.383.144.24.053.383.2
6Ranger Suárez59.08026.5%4.6%1.372.721.83.034.346.0178.016622.2%6.9%3.083.553.44.560.078.8
7Shota Imanaga53.15027.8%4.3%0.852.201.93.132.446.0168.112725.9%5.8%3.103.513.54.355.974.4
8Max Fried49.13219.0%9.8%3.843.960.60.910.513.5188.114821.0%7.1%3.443.503.53.952.473.2
9Sonny Gray41.05231.9%4.8%3.072.801.00.816.824.6157.013927.6%6.8%3.383.243.53.050.372.4
10Yoshinobu Yamamoto47.14127.5%5.2%3.243.251.01.115.922.5165.113625.8%5.8%3.493.333.63.349.070.5
#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%2.542.741.81.825.236.9200.115926.6%6.7%3.193.155.24.565.895.8
2Tyler Glasnow62.06233.8%6.7%2.902.561.81.925.138.4176.015732.7%7.0%3.272.904.44.161.993.1
3Dylan Cease55.05332.7%8.2%2.452.361.81.624.337.4187.0141030.7%9.0%3.223.134.64.263.692.1
4Chris Sale49.16131.3%4.1%2.562.451.51.822.733.9172.116630.6%6.1%3.192.964.54.362.592.0
5Logan Webb59.04418.7%6.8%3.052.961.21.418.228.4197.0131119.3%5.6%3.383.144.24.053.383.2
6Ranger Suárez59.08026.5%4.6%1.372.721.83.034.346.0178.016622.2%6.9%3.083.553.44.560.078.8
7Shota Imanaga53.15027.8%4.3%0.852.201.93.132.446.0168.112725.9%5.8%3.103.513.54.355.974.4
8Max Fried49.13219.0%9.8%3.843.960.60.910.513.5188.114821.0%7.1%3.443.503.53.952.473.2
9Sonny Gray41.05231.9%4.8%3.072.801.00.816.824.6157.013927.6%6.8%3.383.243.53.050.372.4
10Yoshinobu Yamamoto47.14127.5%5.2%3.243.251.01.115.922.5165.113625.8%5.8%3.493.333.63.349.070.5
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