Power Rankings:
1 - San Antonio
2 - Dallas
3 - Utah
4 - LA Lakers
5 - Orlando
6 - Oklahoma City
7 - Boston
8 - Denver
9 - Chicago
10 - New Orleans
11 - Indiana
12 - Atlanta
13 - Miami
14 - New York
15 - Cleveland
16 - Memphis
17 - Phoenix
18 - Portland
19 - Toronto
20 - Charlotte
21 - Detroit
22 - Houston
23 - New Jersey
24 - Golden State
25 - Washington
26 - Milwaukee
27 - Philadelphia
28 - LA Clippers
29 - Minnesota
30 - Sacramento
*These power rankings are generated using points and wins, and are a direct indication of a team's recent performance. The rankings are taken from each team's last game rather than after each team's x game. With that in mind, if you think the rankings are off, please leave a comment.
Predictions for Nov. 30
Boston @ Cleveland - Boston by 7
Detroit @ Orlando - Orlando by 10
Portland @ Philadelphia - Portland by 8
New Jersey @ New York - New York by 2
LA Lakers @ Memphis - LA Lakers by 10
Indiana @ Sacramento - Indiana by 9
San Antonio @ Golden State - San Antonio by 14
Results from Nov. 29
3/4 (75%)
Washington @ Miami - Miami by 8 (Actual: Miami by 11)
New Orleans @ Oklahoma City - New Orleans by 5 (Actual: Oklahoma City by 6)
Houston @ Dallas - Dallas by 14 (Actual: Dallas by 10)
Milwaukee @ Utah - Utah by 10 (Actual: Utah by 21)
Monday, November 29, 2010
Sunday, November 28, 2010
End-of-Season Projections: 15 Games In
| Standing | Eastern Conference | Wins | Western Conference | Wins |
| 1 | Orlando | 53 | Dallas | 61 |
| 2 | Boston | 53 | LA Lakers | 61 |
| 3 | Chicago | 49 | San Antonio | 61 |
| 4 | Miami | 46 | New Orleans | 57 |
| 5 | Indiana | 45 | Utah | 51 |
| 6 | Atlanta | 41 | Oklahoma City | 50 |
| 7 | Cleveland | 36 | Denver | 47 |
| 8 | New York | 34 | Portland | 44 |
| 9 | Toronto | 34 | Phoenix | 40 |
| 10 | Milwaukee | 33 | Memphis | 37 |
| 11 | New Jersey | 32 | Golden State | 34 |
| 12 | Detroit | 31 | Minnesota | 27 |
| 13 | Charlotte | 31 | Houston | 27 |
| 14 | Washington | 29 | Sacramento | 27 |
| 15 | Philadelphia | 23 | LA Clippers | 21 |
Predictions for Monday:
Washington @ Miami - Miami by 8
New Orleans @ Oklahoma City - New Orleans by 5
Houston @ Dallas - Dallas by 14
Milwaukee @ Utah - Utah by 10
Saturday, November 27, 2010
End-of-Season Projections
Back on November 3rd, while the NBA season was still in its infancy, HangTime blogger, Sekou Smith posted this blog with some end-of-season projections based on average points scored and average points allowed by each team. At that point in time, no team had played more than three or four games. Several teams had not yet lost a game while others had not yet won a game. As you might expect, the results were laughable, projecting three teams would top the 70 win mark with Miami winning a mind-boggling 78. That means since they had already lost a game, they would have to go almost an entire season while only losing three more.
Whether Smith wanted to get fans riled up or was just entertained by the idea of such preposterous numbers, I knew their had to be a better way to generate projections, even early in the season.
So I got to work.
The formula Smith presents is called the Pythagorean Method, which gives you a ratio based on average points scored raised to x divided by the sum of average points scored raised to x and average points allowed raised to x.
I took this same formula as a starting point and started addressing the issues:
What if a team is having blowout wins and close losses (i.e. Miami Heat)?
I've included a team's actual win percentage in the formula and weighted it to have more and more significance as the season progresses (starts at 50% and increases to 100% by game 82). If a team like Miami continued their trend until the end of the season, the projection may still say 78 wins, but the standings would tell a different story. Including this variably weighted factor brings projections closer to reality as more reliable information is collected.
What if a team has a difficult or easy schedule?
I've also included a Strength of Schedule factor that will either bump a team's projection up or down based on the quality of opponents they have recently been playing against. The Strength of Schedule is calculated by taking an exponential moving average of each opponent's projected win percentage. I opted to use the projected win percentage over the actual win percentage for all these same reasons.
What if a team starts out undefeated or winless?
I was a little stumped by what to do with this issue at first. I thought of carrying over each teams' record from the previous season as a starter, but decided that would cause inaccuracies due to player movements during the off-season (i.e. Cleveland). I thought about solving that by narrowing the spectrum and limiting it to .400-.600 or so. That still wouldn't solve problems caused by teams like Cleveland (or more accurately, people like LeBron). I finally settled on assuming each team was average and project them to finish .500. This average number is what starts the Strength of Season calculation and allows it to reach realistic calculations early on.
There are other issues that could also be addressed, such as home-court advantage (home team wins approx. 57%) and inter-conference games (west beats east approx. 55%), but I think I've managed to address the most glaring issues.
Here are some end-of-season projections using my current system:
One game in:
Five games in:
Ten games in:
Whether Smith wanted to get fans riled up or was just entertained by the idea of such preposterous numbers, I knew their had to be a better way to generate projections, even early in the season.
So I got to work.
The formula Smith presents is called the Pythagorean Method, which gives you a ratio based on average points scored raised to x divided by the sum of average points scored raised to x and average points allowed raised to x.
I took this same formula as a starting point and started addressing the issues:
What if a team is having blowout wins and close losses (i.e. Miami Heat)?
I've included a team's actual win percentage in the formula and weighted it to have more and more significance as the season progresses (starts at 50% and increases to 100% by game 82). If a team like Miami continued their trend until the end of the season, the projection may still say 78 wins, but the standings would tell a different story. Including this variably weighted factor brings projections closer to reality as more reliable information is collected.
What if a team has a difficult or easy schedule?
I've also included a Strength of Schedule factor that will either bump a team's projection up or down based on the quality of opponents they have recently been playing against. The Strength of Schedule is calculated by taking an exponential moving average of each opponent's projected win percentage. I opted to use the projected win percentage over the actual win percentage for all these same reasons.
What if a team starts out undefeated or winless?
I was a little stumped by what to do with this issue at first. I thought of carrying over each teams' record from the previous season as a starter, but decided that would cause inaccuracies due to player movements during the off-season (i.e. Cleveland). I thought about solving that by narrowing the spectrum and limiting it to .400-.600 or so. That still wouldn't solve problems caused by teams like Cleveland (or more accurately, people like LeBron). I finally settled on assuming each team was average and project them to finish .500. This average number is what starts the Strength of Season calculation and allows it to reach realistic calculations early on.
There are other issues that could also be addressed, such as home-court advantage (home team wins approx. 57%) and inter-conference games (west beats east approx. 55%), but I think I've managed to address the most glaring issues.
Here are some end-of-season projections using my current system:
One game in:
| Standing | Eastern Conference | Wins | Western Conference | Wins |
| 1 | Cleveland | 50 | Denver | 49 |
| 2 | Orlando | 49 | Dallas | 48 |
| 3 | Atlanta | 48 | San Antonio | 48 |
| 4 | Boston | 47 | Oklahoma City | 48 |
| 5 | New York | 47 | New Orleans | 47 |
| 6 | New Jersey | 47 | LA Lakers | 46 |
| 7 | Detroit | 35 | Sacramento | 46 |
| 8 | Milwaukee | 35 | Portland | 45 |
| 9 | Toronto | 35 | Golden State | 44 |
| 10 | Miami | 35 | Minnesota | 36 |
| 11 | Chicago | 34 | Houston | 36 |
| 12 | Indiana | 34 | LA Clippers | 35 |
| 13 | Philadelphia | 34 | Memphis | 34 |
| 14 | Charlotte | 34 | Phoenix | 34 |
| 15 | Washington | 33 | Utah | 33 |
Five games in:
| Standing | Eastern Conference | Wins | Western Conference | Wins |
| 1 | Miami | 58 | LA Lakers | 64 |
| 2 | Atlanta | 57 | New Orleans | 62 |
| 3 | Orlando | 53 | San Antonio | 50 |
| 4 | Boston | 51 | Golden State | 49 |
| 5 | New York | 46 | Portland | 48 |
| 6 | Cleveland | 39 | Sacramento | 46 |
| 7 | Chicago | 38 | Denver | 46 |
| 8 | New Jersey | 36 | Dallas | 45 |
| 9 | Indiana | 33 | Oklahoma City | 41 |
| 10 | Toronto | 32 | Memphis | 38 |
| 11 | Milwaukee | 29 | Utah | 38 |
| 12 | Philadelphia | 28 | Phoenix | 37 |
| 13 | Charlotte | 27 | LA Clippers | 30 |
| 14 | Washington | 27 | Minnesota | 26 |
| 15 | Detroit | 22 | Houston | 23 |
Ten games in:
| Standing | Eastern Conference | Wins | Western Conference | Wins |
| 1 | Boston | 57 | New Orleans | 65 |
| 2 | Miami | 51 | LA Lakers | 57 |
| 3 | Orlando | 50 | Dallas | 57 |
| 4 | Chicago | 47 | San Antonio | 56 |
| 5 | Atlanta | 44 | Utah | 52 |
| 6 | Milwaukee | 44 | Phoenix | 49 |
| 7 | Cleveland | 38 | Oklahoma City | 45 |
| 8 | Indiana | 37 | Portland | 44 |
| 9 | New Jersey | 35 | Denver | 43 |
| 10 | Detroit | 34 | Golden State | 41 |
| 11 | Charlotte | 30 | Memphis | 38 |
| 12 | New York | 28 | Houston | 31 |
| 13 | Washington | 28 | Minnesota | 29 |
| 14 | Toronto | 28 | Sacramento | 28 |
| 15 | Philadelphia | 26 | LA Clippers | 21 |
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