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 Skubal145.111333.8%3.8%2.352.135.55.564.4102.7190.115533.3%4.1%2.462.267.06.982.5129.9
2Garrett Crochet152.113530.8%6.5%2.482.544.95.466.099.1200.117630.6%6.6%2.702.696.26.581.8122.1
3Hunter Brown143.010529.4%7.7%2.452.924.05.358.984.1188.013729.0%7.9%2.783.104.96.170.699.9
4Nathan Eovaldi116.010325.6%4.7%1.712.773.35.157.479.7161.014524.8%5.2%2.293.144.15.869.193.4
5Max Fried144.012522.8%6.1%2.943.173.32.950.571.8191.016722.9%6.4%3.023.264.33.965.591.8
6Framber Valdez145.211524.4%8.2%2.972.973.84.350.375.1190.214724.3%8.2%3.123.124.75.162.391.5
7Joe Ryan139.012528.2%5.0%2.723.233.44.454.874.5182.015827.8%5.0%2.973.424.35.166.087.9
8Jacob deGrom135.110527.2%5.7%2.863.532.84.249.063.5172.113627.2%5.8%3.033.583.75.059.577.0
9Bryan Woo146.010625.3%4.5%3.083.682.63.447.560.8191.013824.9%4.6%3.203.733.54.359.375.6
10Drew Rasmussen117.210522.5%5.5%2.603.332.74.145.060.3154.213722.2%5.6%2.853.443.54.754.873.1
#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 Skubal145.111333.8%3.8%2.352.135.55.564.4102.7190.115533.3%4.1%2.462.267.06.982.5129.9
2Garrett Crochet152.113530.8%6.5%2.482.544.95.466.099.1200.117630.6%6.6%2.702.696.26.581.8122.1
3Hunter Brown143.010529.4%7.7%2.452.924.05.358.984.1188.013729.0%7.9%2.783.104.96.170.699.9
4Nathan Eovaldi116.010325.6%4.7%1.712.773.35.157.479.7161.014524.8%5.2%2.293.144.15.869.193.4
5Max Fried144.012522.8%6.1%2.943.173.32.950.571.8191.016722.9%6.4%3.023.264.33.965.591.8
6Framber Valdez145.211524.4%8.2%2.972.973.84.350.375.1190.214724.3%8.2%3.123.124.75.162.391.5
7Joe Ryan139.012528.2%5.0%2.723.233.44.454.874.5182.015827.8%5.0%2.973.424.35.166.087.9
8Jacob deGrom135.110527.2%5.7%2.863.532.84.249.063.5172.113627.2%5.8%3.033.583.75.059.577.0
9Bryan Woo146.010625.3%4.5%3.083.682.63.447.560.8191.013824.9%4.6%3.203.733.54.359.375.6
10Drew Rasmussen117.210522.5%5.5%2.603.332.74.145.060.3154.213722.2%5.6%2.853.443.54.754.873.1
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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%2.132.514.76.162.695.3193.0101128.4%6.3%2.382.666.17.277.2116.6
2Zack Wheeler144.210533.5%5.5%2.682.924.05.058.283.6198.214732.2%5.9%2.853.055.36.375.5107.6
3Cristopher Sánchez150.211425.8%5.9%2.452.734.35.761.090.7194.214625.1%5.9%2.682.915.36.673.1107.4
4Logan Webb153.210926.2%5.5%3.342.624.03.146.678.8202.2131125.2%5.5%3.372.815.34.159.597.7
5Matthew Boyd135.211522.6%5.4%2.453.133.44.553.974.5183.214822.7%5.7%2.793.354.45.365.589.0
6Yoshinobu Yamamoto126.210828.3%8.6%2.843.063.43.747.868.0171.2141027.4%8.1%3.043.224.54.561.085.4
7Nick Pivetta141.112425.9%6.5%2.873.263.34.052.171.5185.115625.8%6.5%3.213.554.04.560.780.1
8Freddy Peralta136.214526.1%8.8%2.903.742.64.253.164.7182.217826.0%8.8%3.153.843.45.064.077.4
9Robbie Ray148.09625.3%9.3%2.983.732.03.949.261.9195.012925.3%9.3%3.323.892.74.357.770.8
10Sonny Gray135.111526.8%4.0%4.063.113.21.732.553.3176.114826.6%4.6%3.983.244.12.343.468.0
#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
1Paul Skenes148.07928.6%6.2%2.132.514.76.162.695.3193.0101128.4%6.3%2.382.666.17.277.2116.6
2Zack Wheeler144.210533.5%5.5%2.682.924.05.058.283.6198.214732.2%5.9%2.853.055.36.375.5107.6
3Cristopher Sánchez150.211425.8%5.9%2.452.734.35.761.090.7194.214625.1%5.9%2.682.915.36.673.1107.4
4Logan Webb153.210926.2%5.5%3.342.624.03.146.678.8202.2131125.2%5.5%3.372.815.34.159.597.7
5Matthew Boyd135.211522.6%5.4%2.453.133.44.553.974.5183.214822.7%5.7%2.793.354.45.365.589.0
6Yoshinobu Yamamoto126.210828.3%8.6%2.843.063.43.747.868.0171.2141027.4%8.1%3.043.224.54.561.085.4
7Nick Pivetta141.112425.9%6.5%2.873.263.34.052.171.5185.115625.8%6.5%3.213.554.04.560.780.1
8Freddy Peralta136.214526.1%8.8%2.903.742.64.253.164.7182.217826.0%8.8%3.153.843.45.064.077.4
9Robbie Ray148.09625.3%9.3%2.983.732.03.949.261.9195.012925.3%9.3%3.323.892.74.357.770.8
10Sonny Gray135.111526.8%4.0%4.063.113.21.732.553.3176.114826.6%4.6%3.983.244.12.343.468.0
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