Nhl 17 rosters spreadsheet8/23/2023 ![]() ![]() The spreadsheet is modified from all the others posted here historically so thanks to all the previous posters who have shared thier excel work. As you will see I have already had to sweat a "D" game chase with potenially losing 16 units.Thank you WASH last night. NO backtesting done on these 2 systems but followed sporatically over the years showing profit. The 2 systems built into this sheet have been discussed prior and is what i have decided to play and follow this season with my own discretion filters. That represents 27 of all players and the third most frequent acquisition method. Out of 815 roster players on opening night this season, 216 were acquired by their teams via trade. I find it a good tool to just update, track and modify filters with the data it pulls. Other than the Kraken, four teams have the fewest players acquired via trade, the Islanders, Maple Leafs, Oilers, and Stars, all with four traded players. The zipped file is in xlsx format, and does not contain macros. This sheet can be built to identify and track most of the systems posted here, either theoried or proven. To get the hockey player data analysis Excel file, and more details on the calculations and pivot tables, go to the Hockey Player Data Analysis page on my Contextures site. The attached link can be used to help build your own theories and trials with a little excel ually trial and error and some googling on excel formula's. ![]() Early in the season, I use this tool to help. I haven't seen any spreadsheets that can be used as a tool for tracking and identifying plays for built systems for a while so I thought I would share. The rules of the 2 systems built into this spreadsheet can be found at the bottom of the 'Summary' tab. ![]()
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |