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 Skubal17.21222.5%2.8%2.552.420.50.56.410.5203.215929.9%4.8%2.702.576.56.280.0123.7
2Garrett Crochet17.12129.7%5.4%3.122.580.50.46.910.6198.116830.6%6.4%2.952.755.85.874.9113.5
3Max Fried20.02018.7%6.7%1.352.800.51.110.414.2198.015822.0%7.0%3.143.384.24.762.987.6
4Bryan Woo13.00032.6%4.3%1.381.540.60.76.010.3193.012926.0%5.4%3.263.324.23.858.784.1
5Framber Valdez12.01020.4%6.1%0.752.240.40.67.010.0192.013921.5%8.0%3.383.473.83.954.376.2
6Dylan Cease9.20040.9%11.4%2.790.980.50.23.67.4170.211829.5%9.3%3.483.274.13.251.574.9
7Kevin Gausman17.10140.6%3.1%2.081.250.80.77.313.5186.1111025.8%6.6%3.573.404.03.450.172.8
8José Soriano20.03029.6%8.5%0.452.600.51.414.118.3184.0131023.2%10.1%3.423.613.54.152.971.0
9George Kirby20.01221.6%6.8%3.604.400.00.44.64.8183.0121123.7%5.1%3.593.533.02.848.167.9
10Logan Gilbert16.20226.9%4.5%5.402.310.50.00.14.2167.210926.9%5.9%3.603.303.52.645.267.7
#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 Skubal17.21222.5%2.8%2.552.420.50.56.410.5203.215929.9%4.8%2.702.576.56.280.0123.7
2Garrett Crochet17.12129.7%5.4%3.122.580.50.46.910.6198.116830.6%6.4%2.952.755.85.874.9113.5
3Max Fried20.02018.7%6.7%1.352.800.51.110.414.2198.015822.0%7.0%3.143.384.24.762.987.6
4Bryan Woo13.00032.6%4.3%1.381.540.60.76.010.3193.012926.0%5.4%3.263.324.23.858.784.1
5Framber Valdez12.01020.4%6.1%0.752.240.40.67.010.0192.013921.5%8.0%3.383.473.83.954.376.2
6Dylan Cease9.20040.9%11.4%2.790.980.50.23.67.4170.211829.5%9.3%3.483.274.13.251.574.9
7Kevin Gausman17.10140.6%3.1%2.081.250.80.77.313.5186.1111025.8%6.6%3.573.404.03.450.172.8
8José Soriano20.03029.6%8.5%0.452.600.51.414.118.3184.0131023.2%10.1%3.423.613.54.152.971.0
9George Kirby20.01221.6%6.8%3.604.400.00.44.64.8183.0121123.7%5.1%3.593.533.02.848.167.9
10Logan Gilbert16.20226.9%4.5%5.402.310.50.00.14.2167.210926.9%5.9%3.603.303.52.645.267.7
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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
1Cristopher Sánchez16.11133.3%5.8%1.651.070.80.58.514.7201.113825.4%6.0%3.002.925.55.567.7103.1
2Paul Skenes12.02123.1%11.5%5.254.240.10.02.22.6185.014928.7%7.2%3.062.955.05.165.197.0
3Logan Webb18.01119.0%7.6%5.002.650.4-0.11.55.2205.0141022.5%5.8%3.382.954.64.158.793.9
4Chris Sale16.02125.4%7.9%3.945.09-0.10.24.63.5166.013829.1%6.9%3.363.323.33.853.875.5
5Yoshinobu Yamamoto18.02120.9%3.0%2.503.540.30.67.49.3162.013725.5%6.4%3.333.333.73.750.771.8
6Jesús Luzardo12.21136.7%2.0%4.972.600.30.02.14.8179.2121028.0%7.0%3.763.443.83.347.668.9
7Sandy Alcantara24.12020.9%4.7%0.742.290.91.414.019.9202.1121120.2%6.6%3.653.623.84.048.167.9
8Tyler Glasnow12.01031.9%6.4%3.001.400.50.34.58.6137.09529.0%8.7%3.553.283.22.839.958.5
9Nick Pivetta13.01235.1%10.5%5.541.460.6-0.11.55.9171.0111127.6%7.9%4.003.713.22.340.255.2
10Aaron Nola11.11034.0%6.4%3.183.420.30.34.35.6178.1111024.9%6.2%3.993.803.42.939.853.6
#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
1Cristopher Sánchez16.11133.3%5.8%1.651.070.80.58.514.7201.113825.4%6.0%3.002.925.55.567.7103.1
2Paul Skenes12.02123.1%11.5%5.254.240.10.02.22.6185.014928.7%7.2%3.062.955.05.165.197.0
3Logan Webb18.01119.0%7.6%5.002.650.4-0.11.55.2205.0141022.5%5.8%3.382.954.64.158.793.9
4Chris Sale16.02125.4%7.9%3.945.09-0.10.24.63.5166.013829.1%6.9%3.363.323.33.853.875.5
5Yoshinobu Yamamoto18.02120.9%3.0%2.503.540.30.67.49.3162.013725.5%6.4%3.333.333.73.750.771.8
6Jesús Luzardo12.21136.7%2.0%4.972.600.30.02.14.8179.2121028.0%7.0%3.763.443.83.347.668.9
7Sandy Alcantara24.12020.9%4.7%0.742.290.91.414.019.9202.1121120.2%6.6%3.653.623.84.048.167.9
8Tyler Glasnow12.01031.9%6.4%3.001.400.50.34.58.6137.09529.0%8.7%3.553.283.22.839.958.5
9Nick Pivetta13.01235.1%10.5%5.541.460.6-0.11.55.9171.0111127.6%7.9%4.003.713.22.340.255.2
10Aaron Nola11.11034.0%6.4%3.183.420.30.34.35.6178.1111024.9%6.2%3.993.803.42.939.853.6
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