I think you could argue either way. When the A's signed Hatteberg, there were only two teams after him (I'll have to double check that, but they were either the only one or competing with just one other). I actually thought I did use the Bill James definition. Thanks for pointing that out. For whatever reason, this was an instance where I thought I had something that I actually didn't. I can completely understand how you would confuse the definition I had with the regular stats... I do think Moneyball had a lot to do with it, particularly with the fans. I learned so much from Moneyball and I think everyone who read it did. However, you are probably right that it's too bold, any suggestions on how I could change it, still keeping that Moneyball has helped? Here's another instance that got me in trouble from the assumption of Moneyball then, I think. Okay, so what I meant to say is that the faults in some statistics are the way they're set up, for example BA is fault because it's over at bats and not plate appearances, measures how much a person gets on base but only by hits, etc... What's S? Plate Appearances - Walks - Hit By Pitch - Sac Flies - S? I'm not sure I agree with everything you say here. For such a long time (before OBP), batting average was the true measure of a hitter's ability, but it completely ignores some aspects of hitting which are important to a team. Maybe what I could say in the paper is batting average isn't flawed, it's the formula that leaves out some of those aspects. Same thing as above. What you're saying may be correct, but is OBP so flawless that a guy with a .350 OBP is better than one with a .340 OBP? That's not necessarily true, if the guy with the .340 OBP is getting on base by extra base hits and the one with the .350 OBP is getting on primarily by singles and walks, I'll take the .340 guy. The .340 guy is setting his team up for a greater chance to score when he does get on base. You're right here again, but dealing with slugging percentage as an aside, that is it's fault...that every base is created unequal. While 171 may seem like a lot, you have to take into consideration how many players there are in baseball each year, multiply by the number of seasons you're counting, and in the end you've got about 4 players per season doing that out of X amount of players per season. However, I could make a more extreme example. .350 BA and .400 SLG? How many players have done that? Also realized, I should have said rarely see. My arguing the entire time then should be how slugging percentage (or any stat) is set up, rather than arguing why the actual stat has faults, correct? Good to know. Player by player on a team, plugged into James's formula, and then added up to estimate how many runs the team would score vs. the actual amount they did. High correlation between the two. I never thought of it that way. I've always viewed SecA as a nice statistic for measuring power since it takes away singles. I'm just trying to make a point that park factors have contributed to success and for those that have hit in pitcher's parks, they've been hurt. Any suggestions to rephrase it? That was one thing I just added yesterday due to someone else's suggestion and I didn't check my facts. I just assumed AL would score more runs than the NL. Does the average AL team score more runs than the average NL team? You can tell more about a player looking at OPS+ than OPS, though. Same with ERA+ and ERA, which isn't included in the paper. Ok, mostly. I'm implying that they got good players in return for their two pitchers, and these players did play a role in the success of the A's. So in that way, yes, but their success wasn't directly because of the players they got back in the trades. :oops: Yup, the draft picks have been suggested and it's a good idea. But, if you were to weigh salary and production, Hatteberg was an excellent pickup. Did he really get $6.5 for each season, or was it a 3-yr., $6.5M contract? Maybe it would be better for me to mention the Blue Jays and Dodgers as a subpoint of the A's, as both those two guys were involved with the A's under Beane? I haven't cited any of my sources in-paper with the exception of the two Moneyball quotes. I know where they came from, and of course they'll be cited before it's done. Sabermetric stats > Traditional stats is the point of the conclusion, however I do want to redo the whole conclusion and I said that in my first post. I knew that this would be a problem for me when I chose the topic: we're suppoed to stay away from being entirely factual, I just don't know how I can do that. I can't prove sabermetrics are effective without proving facts. I can't say how teams have used sabermetrics without first explaining what they are, which is again...facts. 17. Thanks.