For those new to the concept, I run a script against every game log that does the following:
1) Pulls batted ball type (GB/FB/LD), location (Fielding Zone), and results (out/error/hit), then compiles them into simple “out, error, hit,” results.
2) Then, zone by zone, it compiles the numbers and develops a baseline league average for how often a ball in any particular zone is turned into an out.
3) At this point, I use the actual balls hit into a zone against each defensive team to come up with the number of plays an average fielder would have made.
4) I then compute the final “Plays Against Average” for ground balls, fly balls, and line drives as the number of plays the team actually made minus those a league average team would have made.
Her's the data through 4/6/2047:
| TEAM | GB | FB | LD(IF) | LD(OF) | TOTAL |
|---|---|---|---|---|---|
| Mumbai Metro Stars | 7.3 | 0.2 | 0.0 | 0.2 | 7.7 |
| Bucharest Impalers | 0.9 | 1.7 | 0.0 | 0.0 | 2.5 |
| Beirut Cedars | 3.6 | -1.1 | 0.0 | -0.8 | 1.6 |
| Jerusalem Hebrew Hammers | -0.7 | 0.8 | 0.0 | 0.9 | 0.9 |
| Athens Fighting Centaurs | -2.6 | 1.9 | 0.0 | 0.8 | 0.1 |
| Tripoli Piranhas | -1.4 | 0.7 | 0.0 | 0.7 | 0.0 |
| Riyadh Red Crescents | 1.1 | -0.7 | 0.0 | -0.8 | -0.4 |
| Manama Pearls | 0.0 | 1.5 | 0.0 | -2.3 | -0.8 |
| Cairo Pharaohs | 0.0 | -2.8 | 0.0 | 0.3 | -2.4 |
| Baghdad Kings | -8.2 | -2.1 | 0.0 | 1.0 | -9.2 |
| League | 0 | 0 | 0 | 0 | 0 |
