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TuscanSota

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TuscanSota last won the day on October 9

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  1. Server issue, I’ll need to look into what’s happening.
  2. Okay, I will need to debug this on my own since that's the one browser I don't have easy access to. Are you able to try Chrome or Microsoft Edge?
  3. Welcome to SimFBA @dudesteve! Approved for Wizards and UC Santa Barbara! Both leagues are currently active but there's still plenty of time to strategize and build both of your teams. You may need to get used to @subsequent being in the same conference as you for college basketball - he's currently the coach for UC Irvine. The next step is to request for both teams on the interface. Navigate to this link to our Interface and register there. This is the web app that we use to manage our leagues and keep track of the season. Once you've registered, click the "Request Team" button on the nav bar and request both your teams under "CBB Team" and "NBA Team". For familiarizing yourself with the basketball sims, I recommend reading this google doc which I use as an instructions & reference guide. This will covers everything from player ratings, strategizing, recruiting, free agency, and the draft. If you have any questions, please reach out to me either here on the forums or ask away in the #mentor-help channel on discord. The community is very happy to talk strategy and helping out with getting you up to speed.
  4. Okay... strange. Are you able to use the "." key to place down decimals? Additionally, which browser are you using?
  5. Below is the working document that @alexfall862 had when he put together the current RES formula. The way that RES works right now, is that everyone has a base of 0.8 (or 80%) as the floor, with the modifiers like previous overall record, current overall record, postseasons success, and coaching record all weighted and placed within the 20% that's calculated and remaining. https://docs.google.com/spreadsheets/d/19ODPgKfIuSVbX3wYJFw4YEumhJfZkz8TMmWMwEi-jLE/edit?usp=sharing It's a very math-y formula, which is a little hard to describe in each step if I'm being completely honest. I haven't taken a look at it quite yet, but my plan for this season would be to turn it back on in it's current iteration before making any changes. There will be some changes to RES specifically for FCS schools, but it's to help balance out competition between FBS and FCS schools to make things a bit more relatively realistic. If there are any changes to RES outside of FCS, it will likely be done after this upcoming season. I'm open to proposals or adjustments; though I will ask that any change to RES be done in small iterations. Going from the 80/20 formula in current RES to 60/40 will make results in recruiting very spread out. If anything, I would go from 80/20 to 70/30, or maybe look into how we provide and calculate bonuses for affinities. I do like the idea of bringing over portal reputation though as part of the RES formula.
  6. I like this. I'm a little hesitant because any addition of points, whether it be the base number or as a bonus like here would introduce a little bit of power creep. I think this could benefit schools that are in highly populated croot areas though. The other thing that we could look into is reworking the affinities with recruits in a way that makes recruit preferences dynamic. As in, a recruit will get a higher bonus on their Close to Home affinity than their Frontrunner affinity.
  7. We previously did have Man & Zone DBs as good fits & bad fits for certain defensive schemes. Due to feedback regarding flexibility of choosing a defensive gameplan, we chose to remove the goodfits and badfits on DBs for gameplay purposes
  8. Yeah, this is something I may need to add to the stats tables for basketball. Infrastructure has been added to football, haven't had time to get it to bball quite yet
  9. Can you post a screenshot here for an example? Reason I ask is because I'm able to add decimals onto FA offers. I just need to know if this is an issue regarding widths of the inputs
  10. Fixed an issue where individual NBA stats prior to the current week were not properly appearing. This was due to an initiative to prevent users from seeing individual stat data after basketball games were immediately ran. Fixed an issue where the League options filter on the Basketball Stats page didn't properly filter out International Superleague Players from the NBA players. The dropdown is now usable. Future-proofed all CFB and NFL player stat data. Individual stats should now properly show which team the player incurred a stat for. This will be helpful for players who have been traded between teams both before and during a season.
  11. The referee looking in awe as Zachary Link throws yet ANOTHER touchdown If you go anywhere in Florence, Alabama, you'll see billboards and signs of famed SimNFL Quarterback Dekoda Link. Dekoda, a famed 5-star Quarterback who often returns to his hometown for 4th of July celebrations and family reunions. At the summer 2024 Link Family reunion, the talk of the party wasn't revolved around Dekoda's Panthers or Crimson Tide football. No, all eyes turned to his younger cousin, Zachary - the now high school senior QB for Mars Hill Bible's varsity football team who's beaten a couple of his older cousin's individual high school records. Zachary during his junior year of high school threw for over 60 passing touchdowns, including 9 thrown during Mars Hill Bible's homecoming game in late October. The Quarterback kept defenses in check with audibles and with pin-point accuracy to his wide receiver targets such as then-sophomore standout Rodd Howling. Mars Hill Bible marched onto the state tournament and won the state 6A championship. The school has elevated from 1A to 6A following Dekoda Link's career at the school; and Zachary has thrived in it. The rise of Zachary Link is no surprise especially to those in his family. Zachary often made trips to Corvalis, Oregon to watch his older cousin play - and to Charlotte to watch the Panthers. In the summer during high school, Link often attended the summery football camps that Dekoda would help run along with other Panthers players to help the local Charlotte community and to teach the fundamentals to the next generation of SimFBA players. Through dedications at summer practice and watching his older cousin, Zachary has honed on the fundamentals of the quarterback position and has excelled as a starter for Mars Hill Bible. Heading into his senior year, Zachary has already been visited by several college scouts and fans are curious on the player's decision for college. "Obviously I want to go somewhere where I can start; but deep down, I have no preference. My cousin Dekoda always told me to go where they care about you. For him, it was Oregon State. For me, I'm not quite sure yet. As long as that school cares about the game and there are fans in the stands on Saturday then that's all that matters. Because I want to give them a show. Well, except Auburn of course." Zachary Link has reportedly been in discussions with Oregon State, due to his older cousin's legacy there. In addition, schools such as Iowa, Michigan State, Mississippi State, San Diego State, Oregon, Vanderbilt, and Wisconsin have also reportedly shown interest in the highly touted quarterback.
  12. This list doesn't incorporate wins and losses; just the intangibles such as recruiting affinities, stadium size, and the current talent on the roster. I think a future iteration will incorporate geographic location and local recruiting.
  13. Hi everyone, We've had the sim for almost five years now(!) and a question I've been pondering on was which team was arguably the toughest job in the sim? By toughest, I mean not only to recruit and build a team, but to also garner a conference championship and playoff berth. To solve this question, I did some research on each team regarding their recruiting, their home field advantage, coupled with how strong each team arguably is heading into the 2025 season. I grabbed each team's affinities, their stadium capacity, and came up with a formula that generated a letter grade for each team, something similar to what EA's College Football 25 does for their teams. With this data, I put together a formula that weighed each category and returned a number which indicated how difficult a job was in SimCFB. The lower the number, the more difficult the job. With that said, there are a few discrepancies with the data: The portal is still ongoing, so the letter grades generated are not exactly up-to-date. However, this should still give us a good picture regarding how competitive each team will look heading into next season. The affinities used in evaluation are those tangible to the school. Affinities related to frontrunner, rising stars, close to home, and media spotlight were not evaluated because these affinities were either earnable or dynamic based on the player (especially with Close to Home). The weights used to summarize each team's difficulty value are the following: HFA accounts for 30%, Affinity Count accounts for 35%, and the overall grade accounts for 35%. The difficulty value does not indicate how successful a team will be in 2025; it is a value curating how tough a job is supposed to be heading into 2025. Some assumptions I had going into the research were regarding conferences and affinities. I did have an assumption that certain jobs within certain conferences were going to be tougher than others. This can be weighed from both a recruiting and a competitive standpoint. I assumed that jobs in Conference USA were going to be arguably tougher from a recruiting standpoint due to lower affinities, but also lower homefield advantage The easier jobs at the top would be larger schools with more affinities. After curating the data, the results I find did affirm my assumptions; however, there was one thing I did not indicate with my hypothesis: While some jobs are going to be easier to recruit in and are easier to compete with, it was not a good indicator on whether a team would win their respective conference; as I noticed that some schools near the top were often grouped within the same conferences. Because a large number of teams with the same difficulty rating were grouped into similar conferences; it does offer another question that one should keep into account: If a user does take a tougher job within a smaller conference and succeeds in building a team, does the road to a conference championship actually become easier? With the above questions, hypotheses, and observations made, I'm going to present the data; staring with a few fun lists that I put together: Toughest Jobs in the Country: Rank Team Value Affinity Count 1 Delaware 6.98 0 2 Kennesaw State 17.03 0 3 UMass 20.75 0 4 Western Kentucky 22.94 0 5 Sam Houston State 23.86 1 6 Charlotte 25.02 1 7 Middle Tennessee 26.75 0 8 Coastal Carolina 27.03 1 9 FIU 28.53 1 10 Miami (OH) 28.87 1 This list was fascinating to me. A lot of the newer teams, especially Delaware, are on this list simply because these are also the teams that had the worst rosters generated for them. Western Kentucky was a surprise, considering WKU's rise to fame after beating Alabama in a shutout at the start of the 2022 season. While WKU did have the frontrunner affinity historically, it cannot take away the fact that WKU is one of the toughest jobs in the sim. Lowest Rated P4 Teams Rank Team Value Affinity Count 1 Oregon State 33.04 0 2 Cincinnati 35.60 1 3 Rutgers 35.94 0 4 UCF 37.41 1 5 Virginia Tech 41.85 0 6 Arizona State 42.56 1 7 Kansas 43 0 8 Oklahoma 55.37 1 9 Mississippi State 55.90 0 Okay, this list is actually not a true ranking from top to bottom. But I did try to gather at least the bottom valued teams from their respective conference. Any teams that I noticed were close together I also did include into this list. Cincinnati being at the bottom of the Big 12 did not surprise me considering how competitive the conference was outright with teams like Baylor, TCU, Houston, and West Virginia. They did not have the best roster generated; but it also does not help that they only have one affinity. Oregon State also has their fall from grace after having one of the top teams generated at the start of the sim. Oklahoma and Mississippi State being the bottom two SEC teams was expected; but what wasn't expected was how long it took to finally find an SEC team on the list. Vanderbilt NOT being at the bottom I think is the big surprise, though that's also weighed by how competitive they are expected to be in 2025. Top G5 Teams Rank Team Value Affinity Count 1 Temple 63.99 1 2 South Florida 62.84 1 3 Air Force 54.78 3 4 New Mexico State 52.76 0 5 South Alabama 51.76 1 6 Northern Illinois 49.73 2 As we got higher on the list in value, teams with more affinities tended to make the top. Temple takes the top spot not necessarily for their team's recruiting or their affinities but because they compete in the Philadelphia Eagle's stadium. This does give them an edge when facing opponents because it almost puts them in the large crowds list. South Florida takes a huge jump thanks to @iToxicKiddy's recruiting and the current state of their roster. Air Force I think is arguably the easiest G5 program to recruit for due to access to more affinities. Their stadium size also has Air Force's HFA competing with programs that are in the middle of the Big 12 as well. Northern Illinois as the top MAC was a surprise; though I think NIU takes the edge while not being the top Mac team in all three categories; they are very close to the top in nearly all, especially with overall grade. Top 10 Programs in the Sim Rank Team Value Affinity Count 10 Florida 77.56 2 9 Michigan 77.65 2 8 USC 77.83 3 7 Alabama 78.25 1 6 Tennessee 78.52 1 5 Texas A&M 78.64 1 4 Wisconsin 79.04 3 3 Notre Dame 82.88 4 2 Ohio State 84.59 2 1 Texas 87.52 3 This list didn't surprise me to say the least. The teams on this list do all have at least one affinity; but what does come to mind is that all teams on this list have the large crowds affinity. Hence, every team on this list has a stadium size larger than 75000. This gives them the best home field advantage in the sim, which is the best base modifier for a team to win at home. Not every team on this list did well last season; heck, Texas only won a single game last season. What puts them at #1 is not necessarily the state of the Longhorns roster (they got a solid B overall); but moreso the potential with the team. They have one of the largest stadiums of any college football team coupled along with three affinities. This would be the best spot for any coach to coach within the sim both for a newcomer and a veteran user. Are these teams the easiest teams to win with? Yes, but also no? The teams on this list, save for Notre Dame, all come from the same conference. So, it can be argued while it is easier to win home games while coaching one of these teams, it can be argued that it makes these jobs more competitive because of conference affilitiation. With that said, this is an obligatory fuck you to the Big Ten and SEC for conference realignment. Takeaways I think the current formula I have is good; but it is also biased heavily towards home field advantage and affinity. Incorporating an overall grade does help indicate what the toughest jobs are now, but it doesn't tell what the toughest jobs are long term. I think it does give us a snapshot into the 2025 season in terms of which programs will be most likely to succeed. If more time was invested into the formula, I would probably look into adding a value based on the school's location by state/region and calculate a value based on recruit generation. This addition to the formula could give us a way to tell how likely a team can recruit local talent/how to incorporate close to home in this formula. Either way, here is a link to the spreadsheet with all the data used. What are your thoughts on this data?
  14. Patch Notes: Fixed an issue where injuries on basketball players were not visible on the gameplan page Added notification system to basketball leagues Teams will now be notified when a player is injured after a game. A pre-game screen will be ran on all user teams prior to games being ran. In the event of an injured player still having minutes, the user's minutes & shot proportion will be updated. Formations and style will not be impacted. User will also be notified of the change and will receive a penalty mark. Fixed an infinite loop in the Portal sync that didn't properly filter out teams that hit the max roster count in the portal.
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