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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 Skubal192.018430.3%4.6%2.392.495.96.585.8128.6192.018430.3%4.6%2.392.495.96.585.8128.6
2Seth Lugo206.216921.7%5.7%3.003.254.75.968.497.2206.216921.7%5.7%3.003.254.75.968.497.2
3Cole Ragans186.111929.3%8.8%3.142.994.95.061.592.6186.111929.3%8.8%3.142.994.95.061.592.6
4Logan Gilbert208.291227.4%4.6%3.233.274.13.960.388.9208.291227.4%4.6%3.233.274.13.960.388.9
5Corbin Burnes194.115923.1%6.1%2.923.553.74.467.387.8194.115923.1%6.1%2.923.553.74.467.387.8
6Framber Valdez176.115724.0%7.8%2.913.253.65.163.187.6176.115724.0%7.8%2.913.253.65.163.187.6
7George Kirby191.0141123.0%3.0%3.533.264.23.152.478.7191.0141123.0%3.0%3.533.264.23.152.478.7
8Bryce Miller180.112824.3%6.4%2.943.582.84.560.378.7180.112824.3%6.4%2.943.582.84.560.378.7
9Tanner Houck178.291020.7%6.5%3.123.323.94.251.775.2178.291020.7%6.5%3.123.323.94.251.775.2
10Garrett Crochet146.061235.1%5.5%3.582.694.73.141.971.3146.061235.1%5.5%3.582.694.73.141.971.3
#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 Skubal192.018430.3%4.6%2.392.495.96.585.8128.6192.018430.3%4.6%2.392.495.96.585.8128.6
2Seth Lugo206.216921.7%5.7%3.003.254.75.968.497.2206.216921.7%5.7%3.003.254.75.968.497.2
3Cole Ragans186.111929.3%8.8%3.142.994.95.061.592.6186.111929.3%8.8%3.142.994.95.061.592.6
4Logan Gilbert208.291227.4%4.6%3.233.274.13.960.388.9208.291227.4%4.6%3.233.274.13.960.388.9
5Corbin Burnes194.115923.1%6.1%2.923.553.74.467.387.8194.115923.1%6.1%2.923.553.74.467.387.8
6Framber Valdez176.115724.0%7.8%2.913.253.65.163.187.6176.115724.0%7.8%2.913.253.65.163.187.6
7George Kirby191.0141123.0%3.0%3.533.264.23.152.478.7191.0141123.0%3.0%3.533.264.23.152.478.7
8Bryce Miller180.112824.3%6.4%2.943.582.84.560.378.7180.112824.3%6.4%2.943.582.84.560.378.7
9Tanner Houck178.291020.7%6.5%3.123.323.94.251.775.2178.291020.7%6.5%3.123.323.94.251.775.2
10Garrett Crochet146.061235.1%5.5%3.582.694.73.141.971.3146.061235.1%5.5%3.582.694.73.141.971.3
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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
1Chris Sale177.218332.1%5.6%2.382.096.47.082.3130.0177.218332.1%5.6%2.382.096.47.082.3130.0
2Zack Wheeler200.016728.5%6.6%2.573.135.47.081.4111.9200.016728.5%6.6%2.573.135.47.081.4111.9
3Paul Skenes133.011333.1%6.2%1.962.444.35.765.595.9133.011333.1%6.2%1.962.444.35.765.595.9
4Logan Webb204.2131020.5%5.9%3.472.954.44.153.588.9204.2131020.5%5.9%3.472.954.44.153.588.9
5Dylan Cease189.1141129.4%8.5%3.473.104.83.858.187.6189.1141129.4%8.5%3.473.104.83.858.187.6
6Michael King173.213927.7%8.7%2.953.333.93.762.985.4173.213927.7%8.7%2.953.333.93.762.985.4
7Reynaldo López135.28527.3%7.7%1.992.923.55.960.684.5135.28527.3%7.7%1.992.923.55.960.684.5
8Cristopher Sánchez181.211920.3%5.8%3.323.004.74.050.180.5181.211920.3%5.8%3.323.004.74.050.180.5
9Shota Imanaga173.115325.1%4.0%2.913.723.04.363.178.1173.115325.1%4.0%2.913.723.04.363.178.1
10Max Fried174.1111023.2%8.0%3.253.333.44.051.874.4174.1111023.2%8.0%3.253.333.44.051.874.4
#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
1Chris Sale177.218332.1%5.6%2.382.096.47.082.3130.0177.218332.1%5.6%2.382.096.47.082.3130.0
2Zack Wheeler200.016728.5%6.6%2.573.135.47.081.4111.9200.016728.5%6.6%2.573.135.47.081.4111.9
3Paul Skenes133.011333.1%6.2%1.962.444.35.765.595.9133.011333.1%6.2%1.962.444.35.765.595.9
4Logan Webb204.2131020.5%5.9%3.472.954.44.153.588.9204.2131020.5%5.9%3.472.954.44.153.588.9
5Dylan Cease189.1141129.4%8.5%3.473.104.83.858.187.6189.1141129.4%8.5%3.473.104.83.858.187.6
6Michael King173.213927.7%8.7%2.953.333.93.762.985.4173.213927.7%8.7%2.953.333.93.762.985.4
7Reynaldo López135.28527.3%7.7%1.992.923.55.960.684.5135.28527.3%7.7%1.992.923.55.960.684.5
8Cristopher Sánchez181.211920.3%5.8%3.323.004.74.050.180.5181.211920.3%5.8%3.323.004.74.050.180.5
9Shota Imanaga173.115325.1%4.0%2.913.723.04.363.178.1173.115325.1%4.0%2.913.723.04.363.178.1
10Max Fried174.1111023.2%8.0%3.253.333.44.051.874.4174.1111023.2%8.0%3.253.333.44.051.874.4
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