What do you mean? Do you think the Holly we saw in June is the real Todd Hollandsworth? His numbers this season are almost exactly what they have been over his career. Yes, Holly was very good in June - just good enough to offset his horrible, horrible May. Another example: Neifi Perez. In April, we might have been saying, "It's a good thing they play the game on the field...," but since April, Neifi has been horrible, and now his season numbers almost perfectly match his career numbers. Your comment would certainly apply to Derrek Lee, though. I don't think anyone predicted such numbers for DLee before the season. He probably won't duplicate those numbers over the next 81 games, so there will be some regression to the mean, but Lee on the field has been better than (pre-season) Lee on paper. What do I mean? I mean it's a good thing these games are played on the field and not on paper. Play them out on paper and very few guys get a chance to play (except for those who don’t have a mean to regress to). Why now? They weren't 30 days ago and they probably won't be 30 days from now. Neither were they last year. The "regression to the mean theories" don't play out on the field as well as they do on paper. On paper if they aren’t close then, well, we’ll see some regressing or progressing. On the filed we have to find out why they are doing what they are doing. Take Lee. People armed with pencil and paper have been telling us that he would regress to the mean for months now. Articles have been written about it. Yet he has stubbornly refused to regress. Further, when is this regression supposed to take place? Today? Tomorrow? Next month? We were told it would happen LAST month and the month before. Back to Hollandsworth. Some like to use “statistical mean” as a predictive measure and that is fine provided one realizes as a tool it has very, very severe limitations. Some believe that it goes beyond prediction and ventures into prophecy (.270 Billy Bob won’t hit .300—Thus sayeth the statistical mean). It just doesn’t work that way. All things being equal player X is likely to Y but, when a player is on a month (or two or three) long hot/cold streak, all things are not equal. Something is causing the streak (and it ain’t the Big Bad Statistical Meannie). That “thing” may be age. It may be experience. It may be altering something in a swing or a delivery. It may be confidence. It may be a new park. It may be a combination of many things but there is at least one “thing” that is causing it. It's a good thing these games are played on the field and not on paper—they are FAR more interesting this way!