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SB Study

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204157.7 in reply to 204157.6
Date: 12/9/2011 12:12:01 AM
Overall Posts Rated:
147147
A couple of things:

1. Analyzing the data from a season of your own league games will not give you anywhere near the sample size to conclusively say much of anything. If you want to do this, you'll need to figure out a way to crowdsource.

2. Looking at box scores will get you nowhere, as shotblocking also alters shots. (125704.72) You will need Moutlinho's game analyzer to create any sort of rigorous study on the effect of shotblocking. (100218.2)

Good luck though! This idea is an interesting one for sure.

This Post:
00
204157.8 in reply to 204157.7
Date: 12/9/2011 1:15:18 AM
Overall Posts Rated:
297297
Very good points +1 but I am aware of both.

1) I will likely have to start with my own data as a small sample size until I am able to come across more data. It may at least be able to give me a hypothesis of what to expect because at this moment I am not in favor of either side. Finding appropriate data is difficult because it is tough to control many of the necessary factors but it will require some assistance of others in order to be effective.

2) Very true, box scores and shots blocked mean little here. I am more concerned with ideas such as if less Inside will be taken or at least a smaller percentage made, also if perhaps this results in less players in the paint and possibly reduced OR numbers as a result. In real life dominate shot blockers often force offensive players to take a more outside approach. And yes I understand that this is not real life and these factors are dependent upon the logic of the code but at least they are interesting ideas to consider.

In the end one or two extra blocked shots do not warrant the training in the SB skill but if teams react to players with higher SB by moving their game outside then inside scoring and rebounding could be altered as a result.

This Post:
11
204157.9 in reply to 204157.8
Date: 12/9/2011 4:02:51 AM
Overall Posts Rated:
952952
I have two C. One starts at C and other on PF.

First one has: ID 14, SB 10
Second one: ID 12, SB 5

Good enough for you?

If you are interested, I have also interesting couple of guards.

First one: ID 7, SB 7
Second one: ID 7, SB 1
Third: Same as second one

Last edited by Koperboy at 12/9/2011 4:12:46 AM

This Post:
00
204157.10 in reply to 204157.9
Date: 12/9/2011 8:03:54 AM
Overall Posts Rated:
297297
The C's might only be helpful if they are ever Starter/Backup. Even if just now and again. If you are willing to send me a message with the names and those attributes that match up with each player I should be able to pull the game data that is helpful. The guard info might also be interesting to check out as well.

This Post:
00
204157.11 in reply to 204157.10
Date: 12/9/2011 8:25:55 AM
Overall Posts Rated:
952952
ah, unfortunately they are both starters...Same with guards. Like you said, if ever there's a Starter/backup roster, I will send you a message.

This Post:
00
204157.12 in reply to 204157.11
Date: 12/9/2011 10:35:37 AM
Overall Posts Rated:
297297
Not a problem. I appreciate the offer though :). I know that what I am looking for it pretty specific but at least it will be fairly accurate when I find it :p.

This Post:
00
204157.15 in reply to 204157.14
Date: 12/9/2011 12:59:05 PM
Overall Posts Rated:
297297
Very good points to consider. Most I have considered already and some that I will need to keep in mind.

I am looking more at performance in individual games rather than comparing one game to another. For example how the pacing of the game is impacted when each Center is on the floor. If the player with low SB results in a greater number of IS that is data. I will also have to keep in mind the changes of line-ups on the floor through out the game.

I am aware that there are many variables that will affect this study and I am doing my best to control as many as I can. This is an issue with any sort of analysis that can be done but common trends are more of what I am looking for rather than exact numbers as to how many SB or how many IS. Some of the variables will counter themselves with enough data. GS for example because in one game the high SB player may have a higher GS but in another game the low SB player will have the higher GS. I will do my best to control it but it may not be as big of an issue as more data is collected.

I appreciate the feedback as it helps me consider new ideas. My goal now is to collect as much data as possible while I figure out EXACTLY what I want to do with and work on the programing to easily compile it. In the end even an inconclusive result is something as is true with any study.

Anyone else that is able to assist with the little player information I asked for in the beginning post would be appreciated. :)

Last edited by Dean Broda at 12/9/2011 1:25:50 PM

From: SREZ

This Post:
00
204157.16 in reply to 204157.15
Date: 12/9/2011 3:49:44 PM
Overall Posts Rated:
260260
I'm currently training two centers. Not sure if it will help but you can take a look:

Player A: 14 ID, 8 SB
Player B: 9 ID, 6 SB

Let me know if they'll be any help to you :)

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