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%2.422.265.55.665.2103.1197.114532.2%4.2%2.512.446.96.982.1127.2
2Garrett Crochet152.113530.8%6.5%2.482.544.95.466.099.1200.117730.7%6.6%2.702.686.26.581.9122.4
3Hunter Brown143.010529.4%7.7%2.452.924.05.358.984.1188.013828.8%7.9%2.783.114.96.170.599.6
4Nathan Eovaldi116.010325.6%4.7%1.712.773.35.157.479.7161.014524.8%5.2%2.293.144.15.869.193.4
5Framber Valdez152.111624.2%8.0%3.013.003.94.351.376.7197.114924.1%8.0%3.153.154.85.163.392.9
6Max Fried144.012522.8%6.1%2.943.173.32.950.571.8191.016722.7%6.4%3.063.274.33.964.490.5
7Joe Ryan139.012528.2%5.0%2.723.233.44.454.874.5183.014827.8%5.1%2.953.434.35.165.587.2
8Jacob deGrom140.110527.3%5.5%2.763.473.04.652.068.1177.113727.2%5.6%2.943.533.95.362.581.5
9Bryan Woo146.010625.3%4.5%3.083.682.63.447.560.8190.013924.8%4.6%3.223.753.54.258.774.6
10Drew Rasmussen117.210522.5%5.5%2.603.332.84.145.060.3154.212822.2%5.6%2.853.453.54.753.771.8
#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%2.422.265.55.665.2103.1197.114532.2%4.2%2.512.446.96.982.1127.2
2Garrett Crochet152.113530.8%6.5%2.482.544.95.466.099.1200.117730.7%6.6%2.702.686.26.581.9122.4
3Hunter Brown143.010529.4%7.7%2.452.924.05.358.984.1188.013828.8%7.9%2.783.114.96.170.599.6
4Nathan Eovaldi116.010325.6%4.7%1.712.773.35.157.479.7161.014524.8%5.2%2.293.144.15.869.193.4
5Framber Valdez152.111624.2%8.0%3.013.003.94.351.376.7197.114924.1%8.0%3.153.154.85.163.392.9
6Max Fried144.012522.8%6.1%2.943.173.32.950.571.8191.016722.7%6.4%3.063.274.33.964.490.5
7Joe Ryan139.012528.2%5.0%2.723.233.44.454.874.5183.014827.8%5.1%2.953.434.35.165.587.2
8Jacob deGrom140.110527.3%5.5%2.763.473.04.652.068.1177.113727.2%5.6%2.943.533.95.362.581.5
9Bryan Woo146.010625.3%4.5%3.083.682.63.447.560.8190.013924.8%4.6%3.223.753.54.258.774.6
10Drew Rasmussen117.210522.5%5.5%2.603.332.84.145.060.3154.212822.2%5.6%2.853.453.54.753.771.8
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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%2.132.514.76.162.695.3193.0101228.4%6.3%2.382.666.17.277.2116.6
2Cristopher Sánchez150.211425.8%5.9%2.452.734.35.761.090.7194.214625.1%6.0%2.682.915.36.673.1107.4
3Zack Wheeler149.210533.3%5.6%2.712.984.05.159.384.6197.214732.3%5.9%2.873.125.26.274.9105.2
4Logan Webb153.210926.2%5.5%3.342.624.03.146.678.8201.2131225.1%5.5%3.392.815.24.058.996.7
5Matthew Boyd142.211622.6%5.4%2.463.173.54.855.976.9185.214922.7%5.6%2.763.334.45.566.590.6
6Yoshinobu Yamamoto126.210828.3%8.6%2.843.063.43.747.868.0171.2141027.6%8.1%3.043.214.54.561.185.7
7Nick Pivetta141.112425.9%6.5%2.873.263.34.052.171.5185.115725.9%6.5%3.213.544.04.560.880.4
8Freddy Peralta136.214526.1%8.8%2.903.742.64.253.164.7182.216926.0%8.8%3.153.843.45.063.076.4
9Chris Sale89.15430.8%7.0%2.522.692.63.136.154.1119.18530.6%6.9%2.792.813.43.745.868.2
10Robbie Ray148.09625.3%9.3%2.983.732.03.949.261.9194.011925.2%9.3%3.393.912.64.355.167.8
#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%2.132.514.76.162.695.3193.0101228.4%6.3%2.382.666.17.277.2116.6
2Cristopher Sánchez150.211425.8%5.9%2.452.734.35.761.090.7194.214625.1%6.0%2.682.915.36.673.1107.4
3Zack Wheeler149.210533.3%5.6%2.712.984.05.159.384.6197.214732.3%5.9%2.873.125.26.274.9105.2
4Logan Webb153.210926.2%5.5%3.342.624.03.146.678.8201.2131225.1%5.5%3.392.815.24.058.996.7
5Matthew Boyd142.211622.6%5.4%2.463.173.54.855.976.9185.214922.7%5.6%2.763.334.45.566.590.6
6Yoshinobu Yamamoto126.210828.3%8.6%2.843.063.43.747.868.0171.2141027.6%8.1%3.043.214.54.561.185.7
7Nick Pivetta141.112425.9%6.5%2.873.263.34.052.171.5185.115725.9%6.5%3.213.544.04.560.880.4
8Freddy Peralta136.214526.1%8.8%2.903.742.64.253.164.7182.216926.0%8.8%3.153.843.45.063.076.4
9Chris Sale89.15430.8%7.0%2.522.692.63.136.154.1119.18530.6%6.9%2.792.813.43.745.868.2
10Robbie Ray148.09625.3%9.3%2.983.732.03.949.261.9194.011925.2%9.3%3.393.912.64.355.167.8
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