I've utilized a version of Fangraphs WAR calculation and applied it to OM players in conference play with one weekend to go.
As a reference point, I calculated State's Ace Reece fWAR as 2.66 (slashing .368/.965/.737).
A few caveats:
- one of the calculations involves GIDP Opportunities. I could not find this information online, so came up with % of PA based on # of PA and batting position
- couldn't find innings played for each player, so used a calculation that takes 5 PAs per 9 innings
- used the Fangraph MLB wOBA Scale of 1.262 in the calculation of Batting Runs
- Fielding Runs was difficult to calculate because 1) I could not find innings played at each position for these players, so used best estimates for each guy based off the games I've watched and 2) the MLB calculation uses scales for each position based off 150 games. I used a similar scale but for only 25 games.
What sticks out?
Player | fWAR |
Hill | 1.48 |
Fawley | 1.31 |
Sanford | 1.30 |
Humphrey | 0.76 |
Furniss | 0.70 |
Utermark | 0.64 |
Cheng | 0.38 |
Reuter | 0.27 |
Federico | 0.24 |
Randle | 0.19 |
Smithwick | 0.13 |
Moerman | 0.07 |
Surowiec | -0.01 |
Chisolm | -0.02 |
Paino | -0.07 |
As a reference point, I calculated State's Ace Reece fWAR as 2.66 (slashing .368/.965/.737).
A few caveats:
- one of the calculations involves GIDP Opportunities. I could not find this information online, so came up with % of PA based on # of PA and batting position
- couldn't find innings played for each player, so used a calculation that takes 5 PAs per 9 innings
- used the Fangraph MLB wOBA Scale of 1.262 in the calculation of Batting Runs
- Fielding Runs was difficult to calculate because 1) I could not find innings played at each position for these players, so used best estimates for each guy based off the games I've watched and 2) the MLB calculation uses scales for each position based off 150 games. I used a similar scale but for only 25 games.
What sticks out?