Click to embiggen … if . . . → Read More: Scariest graph of the day
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Click to embiggen … if . . . → Read More: Scariest graph of the day You want stats? You get stats. Behind the jump are the all-time ranks for current O-fers in career hits (with their number of hits in parentheses). I was going to post the career batting averages, but it got depressing so I had to stop. Let’s just say that although the O-fers have many body types, from “round” to “rounder,” most of them hit exactly the damn same. So far, our first inning has been our most lucrative. We’ve scored 37 runs in 11 games. The second inning has been our least exciting, at least on offense. In 11 games, we’ve scored 12 runs. The first inning should be our best, but that dropoff is a bit much, don’t . . . → Read More: Just as I suspected If I did it correctly, you should be able to catch a link to the 2009 up-to-date stats on the right. You should only look if you have a high tolerance for pain, because our offense isn’t looking so hot . . . → Read More: Stat link up I guess that comment on the previous post was a hint, or maybe a cry for help. So, yes, I’m almost ready to publish a stat update for the O-fers. I’m working on the presentation format, so it may be posted possibly by Tuesday. Yes, it does include some defensive and pitching stats for 2009. I . . . → Read More: Did someone say Yeargh? I really gotta stop looking at these numbers. I’ve been trying to find some connection between errors and, well, anything else. I finally did, and once I did, it took me no time to see how much sense it made. Errors correlate significantly with batting average. The kick is, they correlate negatively. I’ll translate for the non-stat-speaking world: . . . → Read More: Found an error connection Here’s the scenario: 1. Bottom of the seventh inning, down by one run with a runner on first base. 2. Your best hitter is up. He bats .600, but when he puts the ball into play with less than 2 outs, 4.5 percent of the time it results in a double play. That is a very high rate . . . → Read More: Double play breakeven point I wanted to know more about double play chances, so I narrowed the field to the 35 players who have batted 200 or more times in an O-fers uniform. What I’m interested in is the proportion of balls in play that result in a double play. For instance, in my O-fers career (I like to use myself . . . → Read More: I couldn’t resist My opinion is that I would *not* include any stats other than on-base percentage and slugging percentage in a simple measure of hitting ability. All the other things — reaching on errors, sac flies, DP grounders — are highly situation-dependent. A fly ball is just an out if there’s no runner on third. On the other hand, you could argue, in slowpitch you can adjust your swing. I know when I hit with first-and-third, less than two out, that I’m changing my swing a little bit to keep the ball off the ground. It’s also true that some of us have an easier time than others hitting the ball deep enough to record a sac fly. I don’t know what to make of those arguments. Sacrifice flies have an even worse year-to-year correlation than errors, which means that the math shows almost no tendency for someone good or bad at it to remain so. My discussion of errors in softball last week drew some comments, including a couple from myself. I dug into the available information a little deeper to see what I could learn. Although I don’t have perfect information at my fingertips, I was able to glean a few more things. Error rates depend heavily on the ground-ball tendencies of the hitter. From 1997 to 2003, 80 percent of all errors occurred on grounders, about 15 percent on fly balls and about 5 percent on line drives. If we estimate that one-third of all batted balls fall into each type, that leads to an error rate of 5 percent for fly balls, 26 percent of grounders and about 2 percent for line drives. (Most batters hit .800 or better when they hit line drives. There’s simply not time for the fielder to make an error for the most part.) |
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