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The spreadsheet is much to massive to really post in any form for viewing on the webpage, but if you would like to see it/play around with the numbers it can be downloaded here. If you just want to see the end results though, here is what good old Microsoft Excel shoots out after being handed all the information.
What the resulting graph's best fit line states is that Wins=2.4168*PointDifference+40.959. Now what exactly does this mean. Well, as expected if your team manages to simply score and give up an equal number of points per 100 possessions you will win about 41 games (exactly half of a given team's 82 for the year). From that point it states that for every one point more you can score rather than give up your team will usually increase their win total by 2.4 games. Likewise, if you surrender one more point than you score you can expect to have your win total decreased by 2.4 games. Using this method of predicting NBA final standing came up with an R^2 value (see here for details) of .9402 which meant that our data fits very closely to the resulting equation that was just discussed.
Besides being able to help predict what a teams final win total will be for an NBA season, we can also use to it find some interesting, if in the end not too meaningful numbers on some NBA extremes. According to our graph, if a team was to lose every single game it played it would need a points per 100 differential of about negative 17 points games meaning they would basically have to be so bad they that were hardly ever in any games at all during the course of the season. On the other hand, if a team wanted to win all 82 games in a season, they would need to be approximately plus 17 points per 100 possessions for the season, basically meaning they be completely dominant in every game. Now, even if teams were able to post numbers like those during the course of a season it is unlikely they would post those records logically (even statistically it is very questionable since we are extrapolating into areas where we have no data), but it is fun to imagine.
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What is also a little surprising is the who won a given year's championship based on the point differentials. The 97-98 Bulls, 98-99 Spurs, 99-00 Lakers, 04-05 Spurs, and 06-07 Spurs all won the NBA title and the point differential crown in the same season. Therefore, 50% of the time the NBA champion could be predicted by simply looking at who won the point differential in the regular season. There are times when other circumstances (teams have injured players come back and they improve immensely or lose players in injury) may make it seem unwise to predict the champion based solely on that number, but to be able to guess the NBA champion 50% of the time based solely on one simply number is amazing. Only 4 times did the league leader in wins during the regular season win the NBA title (97-98 Bulls (tied), 98-99 Spurs (tied), 99-00 Lakers, 02-03 Spurs (tied)) and 3 of those were tied so if you took the good statistical approach and flipped a coin to break the tie on each of those years wins during the regular season would only have a 25% of giving you the correct NBA champion. So the point differential is twice as effective using wins to predict the NBA champion.
Another funny note that can be tested using this numbers is the theory that "Defense wins championships". The best offensive per 100 team has never won the title over the last 10 years. Meanwhile, the 98-99 Spurs and 04-05 Spurs won the titles while playing the best regular season points per 100 possessions defense. So, defense did win infinite times more championships than offense over the last 10 years, it was not as if playing the best regular season defense in the league guaranteed anything more than a 20% chance of winning it all in a given season. In the future I would like to test the adage that "rebounding wins championships", but I'll have to gather the data for that study at a later date.
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For hilarity's sake, the worst NBA offense over the last decade was the Chicago Bulls even with their last championship leading of the decades as they were the only sup-100 team at 99.6. The worst defensive team of the last decade was the LA Clippers at 107.4 who posted some truly terrible numbers in both offense and defense over the last decade overall and in certain years (the Bobcat would be last at 107.466, but they have only played 3 years so it would not be fair to laugh them out of the building yet).
In conclusion, these point differential numbers are extremely useful, I am willing to bet that using these alone with enough comparison work (looking at who won vs. who in the NBA playoff series in the past based on differential and how many games the series went) it would be possible to out predict all the NBA "experts" who give 30 second blurbs of information concerning who they believe will win the title and certain series without watching a single minute of game action. This is something I look forward to testing further in the future during the coming years to see how well it holds up in predicting power. If anyone else plays with the numbers and comes up with another interesting observation (there are so many possibilities still remaining I haven't even tried looking at yet) don't hesitate to contact me about it. I would love to share everything the data has to offer to the readers of this site. For now though, just ponder how true it is when someone jokingly replies to the question, "How are we gonna win?", with the answer, "Score more points than the other team".