'09-'10 Spurs Schedule by Way of Embarassing Charts
Introduction
Most people just write about "Games to Watch." You know what I do with those articles, I skim them and see what they say about the Spurs games. You know what my "Games to Watch" are? All of 'em. If my Spurs are going to battle, I want to see it. That is what is so awesome about sports, every game/fight/race is a singular, priceless event that can never be duplicated. Every game is important to me so let us look at some charts and tables analyzing the WHOLE schedule. You should know what we are going to be looking at though.
Oh, the Stats...
First, I wanted to look at the opponents record from last year. Sure, some teams have improved and maybe some haven't, but in general the teams will fall relatively where they were last year with a few outliers. The Spurs, Lakers, Magic, Cavs, Mavs, Nuggets, Blazers, and Hornets are all going to win some games. Personally, I think Washington is a team that will see a huge turnaround, but they are an exception to me. They also only represent two games of our 82 so I'm willing to live with it. Also, if they get better, another team is going to probably fall so it should potentially balance out. Every NBA regular season finishes with 2,460 wins and 2,460 losses.
I also wanted to factor in home and road records. Did you know only 5 teams won over 25 games on the road last year? They were the Lakers (29), Cavs (27), Magic (27), Celtics (27), and Spurs (26). You may be thinking, Denver won 21 so what is the big difference. The difference between our 26-15 and Denver's 21-20 is 10 more road wins. If you can't win on the road, you make winning a title almost impossible especially with the Finals in the 2-3-2 format. (Aside: NOOCH also won 21. Houston and Portland each won 20 on the road.)
Another factor I wanted to look at was our match-ups with our opponent last season. I understand our team has added and changed a lot but Duncan, Parker, Manu, Mason, Hill, Finley, and Bonner are a core that will receive a huge bulk of our total minutes next season. Bowen, Fab, KT, Udoka, and JV were all on reduced roles or minutes., and was Gooden really even here? I added season splits to the table. When I calculated the numbers for season splits for a portion of the schedule, I averaged the season splits of the opponents. They are not weighted by number of games played. Fifty percent against Houston is the same as 50% against New York or Toronto.
Finally, I wanted to create a way to combine these factors to create a projected strength of schedule. I wanted to keep it simple and not influence it too much with weights. I just averaged four numbers: opponent's previous season's win %, previous season's home or road win % depending on where the '09-'10 game is played, previous win % against us last season, and the Spurs loss percentage depending on whether the '09-'10 game is a home or road game. Figure 1 shows a plot of regular season record vs my weighted percentage. You can see the linear trend line and that there is a clear pattern which is pretty obvious. In general, my weighted numbers reduce the strength of the schedule, but we are a better team this season anyways if you really want to use these numbers to predict games won. The real point from the graph though is that if you look at a team that won say 40% of their games, they can post an almost 59% strength against us and it works the other way too. I really wanted to show these factors in the projected strength.

Figure 1: Weighted Win % vs Regular Win %
The Season by Charts
Let us get started with a general plot of the games and their opponent win percentages. See Figure 2.

Figure 2: Win Percentages by Game Numbers
The white data points and trend line represent opponents total win percentage. Red points and trend line represent the applicable home or road record of that game's opponent. You can see the one game above the .900 line which would be the road game against the Cavs. The yellow points and trend line represent the weighted/projected average. The slope of this line is much closer to that of the home-road record of our opponents but translated to lower percentages. All trends show the schedule gets tougher as the season progresses. All those data points are a bit much so look at Figure 3 for a simpler representation.

Figure 3: Weighted Strength of Schedule by Month
Figure 3 shows the weighted strength of schedules by month. October is the easiest but there are only 3 games that month. November isn't as easy as some may think from a cursory glance at the schedule. One thing is for sure though, February, March and April are going to be a grind. This may lead you to ask the question: We do play the rodeo road trip in the later half of the year (February) which would mean more home games in the first half of the season so how does this effect the schedule? Great question, reader.

Figure 4: Home and Road Games by Month
Figure 4 shows the home and road games for each month of the season. There is definitely more white before February and less white after. There is actually only one point in the entire season where we have a negative home game vs road game margin (2-3 on Nov. 6th). After that we are always positive until the last 4 games or so we are even twice.
After January, we will have played 29 home games of the 46 total games played. That is an obscene +12 games at home. After that we have a 2 home of 11 total February followed by a combined 10 home of 25 total March and April. That is only 12 of our last 36 games at home. How much of a factor is home court? I mean we are a great road team and we were a solid home team last year (possibly great if we had been healthy).
Figure 5: Projected SoS vs Home Game % (by months)
Figure 5 clearly shows a relationship between home game percentage and strength of schedule. That is obvious to any fan without any graph, but what I want to look at are the points that stray furthest from the trend. First, the point on the far left at 18% home games and 45.2% SoS represents February. That is a tough stretch but our rodeo road trip is also softened by quite a few games that month: @ Kings, @ Clippers, and Thunder. Detroit was also a terrible home team last season. The Sixers and Pacers are two more of those opponents and neither team looks improved compared to last year. It is also so low of a percentage of home games that the nature of the NBA balances it and forces it to a more normal percentage.
The other point I want to talk about is the one on far right at 67% home games 42.2% SoS which represents November. Many people are looking at this month as easy. All 4 road games that month are against playoff teams from last year (Jazz, Mavs, Rockets, and Blazers) and all had great home records last season. We also have 3 of the 8 home games against playoff teams (Jazz, Mavs, and Sixers). The Sixers also destroyed us in Philly last year.

The Master Table: Compare Numbers to your Heart's Content
Conclusions
Our schedule starts fair, gets easier, ramps up at the rodeo road trip, and then ends tough. I think this is the perfect schedule for us. We get some home games to get our new guys adjusted, and then we have tough road games to battle test them and unite them before the playoffs. I mean there is no escaping the tough games. This is actually very similar to last season. Our first couple of games were tough and made even harder without Manu, but we battled back and got a good record in the early months even with Parker out. Then at the end of the season we lost some games and some people thought we got worse but I disagree. The schedule was brutal, and we fought hard even without Manu. Our roster is much improved, and I think they will dominate this schedule, FSM willing.
If you want my excel worksheet, email me. If you have an idea for a chart to add, let me know and I'll edit the post to add it to the bottom. I have another 4 or 5 that I ended up not using in the post as is.
UPDATES
Update 1: Schedule Pacing per ATS Comments
Per ATS's comment about frequency, I made this chart showing our schedule in order in blocks of similar days. Home games are white. Road games are black. Days of rest are in green. The green spike of 5 is the All-Star Break.

Figure 6: Home, Road, and Rest in Groups of Consecutive Days
The one major thing I got from making this is about our back to backs. First, we have 17 total back to backs. Second, 10 of the back to backs are road and road. We also have 15 periods of rest on the whole schedule that are 2 days or more. Third, of those 10 road and road back to backs, 6 have a 2 day rest period before or after the 2 game set. Our first road and road back to back has a 3 day rest before and a 2 day rest after. Fourth, after our last 2 day rest, we have a back to back. We Then have 3 road and road and 1 home and road back to backs without more than a day of rest. Basically, our limited rest back to backs are all at the end of the schedule.
Also, our first game is a home-road back to back. We won't be any fresher but we won't be as unconditioned for any back to back. It is a a wildcard set. Of the home and road back to backs other than the first one (~2 weeks of rest before it) which leaves us with 6 sets, we have 3 days of rest before one of them and another 3 days of rest between two other sets. So that is 3 of the home and road back to backs with at least 3 days bordering them. We have 2 days of rest after another home and road set followed by a road and road set. We start with 1 road and home set to start the season, but 4 of the other 6 and in the last 25 games (~30%) of the season.
We need to be a clear #1 in the west at the ASG or at least heavily in the mix. It appears that last half is an even more serious grind than I previously thought.
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Comments
Excellent post. I like the SoS analysis and how it reflects what you see during the season. November does seem easy until you consider the strength of the opponent and their ability to win on the road.
However, I will differ with you on your conclusion. I don’t think this is the perfect schedule for us. In fact, I would say it is the exact opposite. However, the reasons I think it are for elements that you don’t analyze. Mainly, frequency of games and player rotation patterns. Which, of course, has to be its own post.
We specialize in misinformation around here. Facts and stats just get in the way.
by Wayne Vore (ATS) on Aug 7, 2009 2:09 PM CDT reply actions
Mainly, frequency of games and player rotation patterns. Which, of course, has to be its own post.
That is exciting. The frequency of games is something I actually debated looking at and factoring in strength of schedule per month vs % of days of the month with games. March and April look brutal. If we have any injuries or any issues during those games, it could get rough. Rookies are supposed to burn out at that time too, but I always thought that was nonsense.
I added a section on frequency of the games for you. Well I did it for you but was far more enlightened by it than I thought I would be. Awesome suggestion. It took a ridiculous amount of time to make that f5g chart though….
I didn’t proofread those new sections so I’d appreciate someone fixing any errors if they see any.
Consider it read.
We specialize in misinformation around here. Facts and stats just get in the way.
by Wayne Vore (ATS) on Aug 8, 2009 10:34 AM CDT up reply actions
I loved the charts and the entire post, BlaseE. Very well done indeed.
Just one suggestions: try to link to the full-sized version of the graph with the image, so that readers can take a better look at them. The only one linked was the SoS chart, and that’s the only one that one’s pretty easy. The new pacing chart in particular would’ve been better appreciated in a larger picture. But I got the gist of it.
Straight from the No-Stat Zone to your computer!
Dunkin' Cheerleaders
I don’t know why that is the only one linked. I did the exact same thing on every single one of them. I left that last one oversized thinking that it would automatically do it if I left it large enough.
SB Nation automatically creates a smaller version of the image your import/upload that fits the “narrow” format of the page. It has the same filename with a “_medium” suffix. If you remove that, it’ll show the original image, but you’re better off just linking to the original image with the smaller one. For that just wrap the < img > tags with a < a href=“originalfilename” > < /a > tags.
What happened to you is common when you’re trying to move the image in “visual view” by click on “delete” or “enter”. You don’t see it, but you’re moving the href tags, and they end up wrapping empty space. I’m sure that if you go to html view you’ll see what’s left of the links.
Straight from the No-Stat Zone to your computer!
Dunkin' Cheerleaders
I get frequency of games: we want to keep our key veteran players fresh for the playoffs. But couldn’t having Pop forced to use a deeper rotation be better for us in the long run? Our rookies and role players will get more burn, and we’ll see which of them are ready for the real thing in May.
Straight from the No-Stat Zone to your computer!
Dunkin' Cheerleaders
what the…?
nice post. and ill bookmark it for use when i need stats in the future. but whoa! too much numbers and graphs for someone who cheated through college math. (if you’re a math teacher and suspect that one of your former students, whose name was “Romeo” and who liked to seat in the last row, cheated on his exams, that was a hypothetical/joke thingy).
one number i do care about is 5.
5 in ’10.
BlaseE, this is a terrific post. I love this stuff. Although I must admit that the part I love the most is where you explain what it is that you’ve discovered through all of the stat-crunching and graphing. Guess I’m not quite savvy enough to come to my own conclusions without the “Spurs Stats for Dummies” part.
Great stuff and much appreciated.
From under the radar to hanging in the rafters - Big50
5 in 10

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