Detailed Replay Data Analysis
05-11-2014, 04:41 PM
Post: #21
|
|||
|
|||
RE: Detailed Replay Data Analysis
(05-11-2014 10:30 AM)lawtai Wrote: Yea, you could just create another column and add in the isleaguematch flag so it'd be something like this: IsLeagueMatch + Game Type + P1 + Result + Map. Yeah, like I said it's absolutely something we could add to this spreadsheet across all areas, just will take some time to write all the formulas. Not hard, just time consuming (and maybe a little confusing unless you're familiar with how I have things organized). When you're done working on it, I'd love to see what you've done! It'll be GG when you're up against GG of GG. |
|||
05-11-2014, 09:10 PM
Post: #22
|
|||
|
|||
RE: Detailed Replay Data Analysis
To save some time, I just copied the entire two tables over that were present on the player stats, and then just limited them to league games. All it took was adding in the IsLeagueMatch modifier to 4 columns worth of data.
I also ended up deleting out all seasons other than season 5, as that's when all games really started showing up. It's very basic, but at least it'll give you the player view of what you've been doing during the season. It'd be cool to turn this into a web interface, or work with code penguin to add some of these stats to his current site. |
|||
05-12-2014, 06:46 AM
Post: #23
|
|||
|
|||
RE: Detailed Replay Data Analysis
Awesome! Never knew you're THAT crazy, GG! Hat`s off and THX!
|
|||
05-12-2014, 10:41 AM
Post: #24
|
|||
|
|||
RE: Detailed Replay Data Analysis
I'm currently trying to figure out how to integrate the turn count into the stats. I think it'd be interesting to see if you can see who might typically turtle in their games if they have higher turn count averages.
|
|||
05-12-2014, 11:25 AM
Post: #25
|
|||
|
|||
RE: Detailed Replay Data Analysis
Doing stuff with turn count was on my to do list. We could do average turn count for player stats by team, by map, for example. Average turn count as P1, as P2. Could be interesting.
It'll be GG when you're up against GG of GG. |
|||
05-12-2014, 02:35 PM
Post: #26
|
|||
|
|||
RE: Detailed Replay Data Analysis
(05-12-2014 06:46 AM)Pharmafan Wrote: Awesome! Never knew you're THAT crazy, GG! Hat`s off and THX! Yeah when I go data crazy, I don't mess around. It'll be GG when you're up against GG of GG. |
|||
05-14-2014, 10:39 AM
Post: #27
|
|||
|
|||
RE: Detailed Replay Data Analysis
This is what I've come up with so far. Nothing special.
Changes: - Added league tables for the player stats - Removed team statistics - Removed all data except for season 5 - Added a simple average turn count for the league games https://dl.dropboxusercontent.com/u/3891...0v2.3.xlsx |
|||
05-15-2014, 07:56 AM
Post: #28
|
|||
|
|||
RE: Detailed Replay Data Analysis
Very very useful. Thanks very much
Top 200 peak ranking: #18 I'm currently taking a competative break. Am up for friendlies and tournaments! (06-09-2014 02:14 PM)Bbobb555 Wrote: I looked it up, apparently a kendama is a yo-yo (!). How the heck do you have forums for yo-yos? |
|||
05-17-2014, 05:31 AM
Post: #29
|
|||
|
|||
RE: Detailed Replay Data Analysis
FYI, the P1/P2 data is misleading. Being P1 does not mean that you made the first move, it is just your physical position on the map. Your formulas should be looking at the first_playerid rather than the p1_playerid to determine who played first/second.
[PETA] Cor13:4 Wrote:Mobi killed the Scallywag star, Best Feedback rank (TGH) 3rd Best Adorables rank (-DF-) 12th Best Scallywags rank (-TAM-) 25th |
|||
05-17-2014, 02:30 PM
Post: #30
|
|||
|
|||
RE: Detailed Replay Data Analysis
(05-17-2014 05:31 AM)The Great Habudabi Wrote: FYI, the P1/P2 data is misleading. Being P1 does not mean that you made the first move, it is just your physical position on the map. Your formulas should be looking at the first_playerid rather than the p1_playerid to determine who played first/second. Thank you. I will have to get that fixed. It'll be GG when you're up against GG of GG. |
|||
« Next Oldest | Next Newest »
|
User(s) browsing this thread:
3 Guest(s)
3 Guest(s)
Return to TopReturn to Content