fgtr3

Fun little addition. I have added 503 new cities with coordinates and populations for teams to use upon relocation and whatever. Every country attached to a continent (minus lame old Antarctica) should have at least one location available to use for a team. And then some small Islands like Fiji, Falkland Islands, Maldives, etc. A location needs at least 100k population for a team, so some locations were bumped up to that number if no cities in the country reached that minimum. A few cities (mainly Poland) had symbols that Excel didn't like, so I just replaced them with regular letters. List of locations added: https://docs.google.com/spreadsheets/d/1kXOBfs9E6dyTrffy1mHTAXbXyRUKieXS/edit?usp=sharing&ouid=108287160030108477760&rtpof=true&sd=true Folder: https://drive.google.com/drive/folders/1ei72Ue0HiLRC5tXTarlJowybm8DpZdJj?usp=share_link Directions: Download and copy "Hometowns" folder to the program file folder where the .exe is and overwrite. In my case, it's C:\Program Files (x86)\GDS\Fast Break Pro Basketball 3 End note: These new locations do not show up in already made save files. You have to start a new game in order to use them.

Sorry about the slow response, I was messing around with FBPB to see if I could make it save really slowly. Didn't work. Yes, you can change the save data location through a symbolic link on Windows. If you have another drive installed or just want to see if it helps I could help you do that if you'd like to try it.

Hmm a very unusual problem. It might seem like a stupid question, but are you actually turning off or restarting your computer at the end of the day instead of hibernate/sleep? Or maybe your hard drive is almost full? Though you mentioned it happening on 2 separate computers

I'd love to hear more about it. I've never done a multiplayer FBPB 3 league, though I've done plenty of FBB.

Interesting. Every long simulator has saves slow eventually, since more and more historical data has to be saved as it goes further in the game. But 3 minutes is obviously excessive and far beyond anything I've experienced. Is this happening even on a brand-new file?

And here's 1996: https://drive.google.com/file/d/1Kl6Hz1lBFcHWsoGAJUpct39ksSQwAH43/view?usp=sharing 144 total. Much, much, much stronger class this time around. Jordan, Payton, Sprewell, Stockton, O'Neal, Mutombo, Mourning, Miller, Smith, Hardaway, Anderson, Houston. Just insane really.

Ok here's the actual one: https://drive.google.com/file/d/1Ok8WzCTFpH_1BzSUBnl-IYPViNGEf1Gd/view?usp=sharing It's an Excel file, so copy to C:\Users\Public\Documents\GDS\Fast Break Pro Basketball 3\PlayerFiles and select it as the initial player source INSTEAD of the historical database. Still select historical database for the Yearly Player Source. Chris Webber headlines the class as the premier young player. Some other young talent include Howard Eisley, Tracy Murray, Voshon Lenard, Jon Barry, and Tom Gugliotta. Vets include Alvin Robertson, Terry Porter, Sean Elliott, Vernon Maxwell, and Dana Barros. It's also Magic Johnson's return year, so he's a very nice starting vet on the market. 134 total FAs.

Ok so I did 95, and will do 96 later. Weird issue is that the game generates low-level talent to fill the player pool. This hasn't happened before, even when I'm working on a new season and there's like 30 players total. And it generates A LOT of them. So, I added 200+ fake players named Fake Fake to the pool that are all 0 rating and 54 years old. A few get signed by the AI, but none seem to be played and I expect they'll retire at the end of the season. So it's still perfectly usable. EDIT: Actually, Realgm is a better source and so I will edit it and post it again in a bit. Felt like players were missing, bballref seems to be incomplete.

Unfortunately since the historical database doesn't have contract details the initial FA really isn't a thing. It wouldn't be too difficult to make a specific file for a specific year to start with, using the transaction list from bballref to get a list of FAs for that year. Is there a specific year you wanted? I'd be willing to do 1 or 2 for ya. I'm not sure how accurate it would be since the rosters sometimes seem to use end-of-season teams, and other times start-of-season. For example, in 1994, Bullets have both Chris Webber (who played the entire season for the Bullets but was acquired at the beginning of the season from the Warriors) and Tom Gugliotta (who played 6 games for the Bullets at the start before being traded to the Warriors for Webber, though Googs ultimately ended up in Minnesota).

Yes, I can see how it could be confusing if you click on the most recent link. Click the link in the first post and that will have a little instruction file. Only 2 of the 4 folders are necessary, which will be detailed in the file. If you can't find one of the save locations, you might have hidden folders invisible, in which case google how to show hidden folders. And then the most recent link will just be one file that's the most updated.

OK I lied. I have another update coming soon. Mainly, I wanted to look closer at how the more current rookies are progressing. Here are my notes: comparing 2016-2021 draftees to 2002-2006, there are significantly more yellow-overall players in the more recent classes. I expect this is because more players actually get playing time due to pace/resting players. When you compare 2022, 2005, and 2002, the number of players who played 1500+ and 1000+ minutes on the season are fairly close. However, when comparing the 600+ and 300+ minute cutoffs, the numbers drastically differ: 2022 600+: 358 players 300+: 426 players 2005 600+ 319 players 300+: 370 players 2002 600+: 299 players 300+: 340 players And so I believe that reflects better on 9th-12th slot guys that are yellow in recent drafts that may be orange or out-of-the-league in older classes. And then I feel the top of the drafts are a bit weak. When counting unique players with either an all-star or all-league designation (can be both), the older classes had an average of 3.5 all-stars and 1.75 all-league players per draft 5 years in to the draft, where most players should be nearing their prime. In comparison, the modern classes had an average of 2.1 all-stars and 1.3 all-leagues in those 5 years. After 10 years, the all-star numbers were a bit closer but the all-league was still a big difference. Old class was an average of 5.8 all-stars per draft and 4.4 all-leagues. Whereas the modern classes had an average of 4.9 all-stars and 3 all-leagues. This isn't a huge data sample, but it takes a while to sim and record so this at least gives something. So I'll revisit the drafts and adjust potentials around. And that'll be the next and only update before the FA one. Cool.

Updated again. All teams updated as well as 60-70 missed players (mostly vets who were not on Spotrac because they expired as UFAs). Next update will be start of FA (state of the file, not the date) with draftees included. That update will also be the first 2022 start date playable file (well, you could use this one, but there's no rookies). Same link as before: https://drive.google.com/file/d/1U9G_l-PimeXd-nZD0Z9nCp1Xsjodmh_c/view?usp=sharing

Bit more teams. Now 21 completed, alphabetically ATL - PHI. Use previous link to download update.

Work-in-progress update. Still play 2021 at the latest, but the stats for 15 teams (mostly alphabetical order) have been input for this latest season and potentials changed around a bit for those teams. So anyone on those teams should hopefully be a bit more accurate even playing in earlier years than they were with the last update, especially any rookies on the 15 teams. Just put the historical.dat in the same spot as before. https://drive.google.com/file/d/1U9G_l-PimeXd-nZD0Z9nCp1Xsjodmh_c/view?usp=sharing

This is a work in progress. It currently consists of the 2021 WNBA season with no career stats, and base potentials. Mainly, I wanted to see if I could get fairly accurate league-wide stats for WNBA, and I think I got close enough to show what I have as well as probably continue it later (NBA update has priority). I also simmed 20 years into the future and while overalls went up, the league-wide stats stayed roughly the same. I cannot emulate the playoff structure of the WNBA, so I left it at 8 teams, best of 1-5-5. Instead of a historical database, this will use excel outputs. When you start a new league selecting the WNBA league, on the second screen you will select the excel file as the initial player source. This is done because I edited the passing to be higher since the game's generation of the ratings made the passing very low. Because of this, I will likely just keep the same 12 teams across the entire league's history as well as the same amount of games as I won't have the game to assist with the volatility of WNBA structure. I will (assuming I work on it more) select a few seasons as starts, and the rest of the players will be supplied through draft classes. It will still have complete career stats for the starts. I didn't use any WNBA assets, instead just calling it the USWBL. While there is a height distribution file (which I did an educated guess on), there is not a weight distribution so all fictional women will be much heavier than they should be. I don't believe it affects simulations at all and can be fixed quickly by exporting, editing in excel, and importing the draft every season. If I work on the mod more, I'll probably post a quick guide. Probably takes me ~30 seconds each time to edit the weights, so it's fairly quick. This cannot be used at the same time as the men's files. Either backup everything, or redownload the men's versions I uploaded in the 2021 update directory (just now added anything that will be overwritten by the women's version). I think that covers everything. Cool! https://drive.google.com/drive/folders/15jcqrJj7IxeDXGhRJjhUWDo5bg0CdUix?usp=sharing