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 Skubal152.111332.7%4.0%2.422.265.55.665.2103.1199.114532.1%4.2%2.482.387.06.983.3130.2
2Garrett Crochet152.113530.8%6.5%2.482.544.95.466.099.1193.116730.8%6.7%2.612.656.26.580.7120.4
3Hunter Brown143.010529.4%7.7%2.452.924.05.358.984.1189.013728.5%7.9%2.713.125.06.271.9100.9
4Framber Valdez152.111624.2%8.0%3.013.003.94.351.376.7203.115823.8%8.0%3.053.155.05.467.698.1
5Nathan Eovaldi116.010325.6%4.7%1.712.773.35.157.479.7159.013525.1%5.1%2.263.044.25.868.193.9
6Joe Ryan139.012528.2%5.0%2.723.233.44.454.874.5183.015727.9%5.1%2.953.344.35.266.790.3
7Max Fried144.012522.8%6.1%2.943.173.32.950.571.8192.015722.6%6.2%3.053.324.33.863.989.0
8Jacob deGrom140.110527.3%5.5%2.763.473.04.652.068.1178.113727.7%5.5%2.883.464.05.364.585.1
9Drew Rasmussen117.210522.5%5.5%2.603.332.84.145.060.3155.213722.5%5.6%2.783.413.54.756.575.4
10Bryan Woo146.010625.3%4.5%3.083.682.63.447.560.8187.012825.0%4.6%3.223.753.33.957.172.7
#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 Skubal152.111332.7%4.0%2.422.265.55.665.2103.1199.114532.1%4.2%2.482.387.06.983.3130.2
2Garrett Crochet152.113530.8%6.5%2.482.544.95.466.099.1193.116730.8%6.7%2.612.656.26.580.7120.4
3Hunter Brown143.010529.4%7.7%2.452.924.05.358.984.1189.013728.5%7.9%2.713.125.06.271.9100.9
4Framber Valdez152.111624.2%8.0%3.013.003.94.351.376.7203.115823.8%8.0%3.053.155.05.467.698.1
5Nathan Eovaldi116.010325.6%4.7%1.712.773.35.157.479.7159.013525.1%5.1%2.263.044.25.868.193.9
6Joe Ryan139.012528.2%5.0%2.723.233.44.454.874.5183.015727.9%5.1%2.953.344.35.266.790.3
7Max Fried144.012522.8%6.1%2.943.173.32.950.571.8192.015722.6%6.2%3.053.324.33.863.989.0
8Jacob deGrom140.110527.3%5.5%2.763.473.04.652.068.1178.113727.7%5.5%2.883.464.05.364.585.1
9Drew Rasmussen117.210522.5%5.5%2.603.332.84.145.060.3155.213722.5%5.6%2.783.413.54.756.575.4
10Bryan Woo146.010625.3%4.5%3.083.682.63.447.560.8187.012825.0%4.6%3.223.753.33.957.172.7
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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
1Paul Skenes148.07928.6%6.2%2.132.514.76.162.695.3190.0101128.7%6.4%2.322.675.97.377.6116.3
2Cristopher Sánchez150.211425.8%5.9%2.452.734.35.761.090.7198.214625.0%5.9%2.672.895.46.974.5110.0
3Zack Wheeler149.210533.3%5.6%2.712.984.05.159.384.6199.213732.1%5.7%2.843.035.36.475.0107.6
4Logan Webb153.210926.2%5.5%3.342.624.03.146.678.8203.2131125.4%5.4%3.312.765.14.261.3100.6
5Matthew Boyd142.211622.6%5.4%2.463.173.54.855.976.9188.214822.6%5.6%2.773.334.35.667.291.9
6Nick Pivetta141.112425.9%6.5%2.873.263.34.052.171.5187.115626.3%6.7%3.073.454.14.764.386.1
7Yoshinobu Yamamoto126.210828.3%8.6%2.843.063.43.747.868.0170.2131027.8%8.1%3.013.194.54.760.585.4
8Freddy Peralta136.214526.1%8.8%2.903.742.64.253.164.7179.217826.3%8.8%3.113.853.34.964.477.5
9Robbie Ray148.09625.3%9.3%2.983.732.03.949.261.9191.012825.3%9.1%3.203.822.54.559.373.7
10Sonny Gray135.111526.8%4.0%4.063.113.11.732.553.3180.114726.6%4.5%3.893.214.12.545.871.6
#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
1Paul Skenes148.07928.6%6.2%2.132.514.76.162.695.3190.0101128.7%6.4%2.322.675.97.377.6116.3
2Cristopher Sánchez150.211425.8%5.9%2.452.734.35.761.090.7198.214625.0%5.9%2.672.895.46.974.5110.0
3Zack Wheeler149.210533.3%5.6%2.712.984.05.159.384.6199.213732.1%5.7%2.843.035.36.475.0107.6
4Logan Webb153.210926.2%5.5%3.342.624.03.146.678.8203.2131125.4%5.4%3.312.765.14.261.3100.6
5Matthew Boyd142.211622.6%5.4%2.463.173.54.855.976.9188.214822.6%5.6%2.773.334.35.667.291.9
6Nick Pivetta141.112425.9%6.5%2.873.263.34.052.171.5187.115626.3%6.7%3.073.454.14.764.386.1
7Yoshinobu Yamamoto126.210828.3%8.6%2.843.063.43.747.868.0170.2131027.8%8.1%3.013.194.54.760.585.4
8Freddy Peralta136.214526.1%8.8%2.903.742.64.253.164.7179.217826.3%8.8%3.113.853.34.964.477.5
9Robbie Ray148.09625.3%9.3%2.983.732.03.949.261.9191.012825.3%9.1%3.203.822.54.559.373.7
10Sonny Gray135.111526.8%4.0%4.063.113.11.732.553.3180.114726.6%4.5%3.893.214.12.545.871.6
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