The fact the the Cubs are last in the majors in overall OPS, BB/PA, HR -- well, pretty much any meaningful offensive category you can think of -- causes the lack of runs. The bad luck with runners on base simply compounds the problem and is by no means the primary issue that needs to be addressed. In fact, the Cubs were one of the best teams in baseball with runners in scoring position through the first month of the season. It just goes to show you the unstable nature of RISP numbers and why they hold little to no predictive value. That appears to make my point more than yours. The primary difference between April (through the 28th) and May is hitting with RISP...and what happens...so goes the record. Can anybody post the stats on BA, OBP, and OPS in April and May and RISP in April and May? I think we can probably find the one that changes the most over the two months. Here's the Cub's overall numbers from April and May. Give me a while and I can have the RISP splits over the same period. teamID month AVG OBP SLG OPS XR/PA
chn 4 0.256 0.316 0.401 0.717 0.109
chn 5 0.248 0.296 0.359 0.655 0.095 As you can see, the Cubs' component offensive stats dropped about 15% from April to May, just about the same amount their overall run production dropped. I'm not saying that RISP numbers don't have an impact on run production, they do. What I'm saying is that such numbers rarely, if ever, demonstrate much persistence and tend to fluctuate almost randomly. They'll usually even out in the end, leaving a team's overall offensive numbers as the best true measure of a team's abilty to score runs. (Such as the case so far in the Cubs' 2006 campaign, where they were really good with runners on base for the first month of the season but have been pretty awful since.) Thus, the best way to go about improving your offense isn't blaming (or trying to fix) a lack of timely hits, it's going out and getting guys who get on base an can hit with some power. Using total runs for the month, my calculations have the Cubs scoring at a clip of 4.74 runs a game in April (109 runs in 23 games). In May, that was down to 3.206 runs a game (93 runs in 29 games). So isn't that almost a 32.5 percent drop in run production? If that is so, then it seems like the drops in the other statistics would predict a drop in run output of less than half that much-so where is the rest coming from?