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Salary formula

Salary formula

The salary formula is exponential.

Salary
  JS JR OD HA DR PA IS ID RB SB const
PG 3% 5% 8% 8% 4% 16%     4%   300
SG 13% 15% 13%           7%   300
SF 18% 9% 7%         6% 9% 1% 300
PF 8%           12% 12% 12% 6% 300
C             14% 14% 13% 7% 300


Web salary calculator

Web salary calculator - polish


Salary calculation for season 16

As BB-Charles explained in the News and in the forum (180713.172), the way dynamic salaries are calculated has been changed. It seems that dynamic salary can now no longer be described by a single salary deflation coefficient as I tried to do in the past seasons.

old: $ 1 000 000 -> new: $ 742 727 decrease: -$ 257 273 / -25,73%
old: $ 750 000 -> new: $ 589 733 decrease: -$ 160 267 / -21,37%
old: $ 500 000 -> new: $ 423 450 decrease: -$ 76 550 / -15,31%
old: $ 375 000 -> new: $ 333 490 decrease: -$ 41 510 / -11,07%
old: $ 250 000 -> new: $ 235 988 decrease: -$ 14 012 / -5,60%
old: $ 100 000 -> new: $ 94 822 decrease: -$ 5 178 / -5,18%
old: $ 50 000 -> new: $ 47 567 decrease: -$ 2 433 / -4,87%
old: $ 25 000 -> new: $ 23 860 decrease: -$ 1 140 / -4,56%
old: $ 10 000 -> new: $ 9 583 decrease: -$ 417 / -4,17%
old: $ 5 000 -> new: $ 4 806 decrease: -$ 194 / -3,88%
old: $ 2 500 -> new: $ 2 410 decrease: -$ 90 / -3,60%
old: $ 1 000 -> new: $ 968 decrease: -$ 32 / -3,24%

(Josef Ka)

Potential vs salary

Potential does not directly depend on salary levels. You can still train an all time great to his maximum potential, although he just won't reach the salary he would have reached before.

(Patrick)

0 Announcer: < 5k
1 Bench warmer: < 5k
2 Role player: < 9,5k
3 6th man: 11,5-13,5k,
4 Starter: 21-24k,
5 Star: 33-40k
6 AllStar: 43-65k
7 Perennial allstar: 80-100k
8 Superstar: 125-145k
9 MVP: 195-230k
10 Hall of famer: 500k+
11 All time great: 1M+


Staff salary profitability

Assuming a weekly increase of 2.75% per week, these are the break even points that I calculated, assuming you are trying to replace your current staff member with another:

(there was some rounding involved)

Assuming the new trainer has a $30,000 salary

Bonus of new trainer = $5 million, keep current trainer until salary = $173,200
Bonus of new trainer = $4 million, keep current trainer until salary = $155,000
Bonus of new trainer = $2.5 million, keep current trainer until salary = $125,000

Assuming the new trainer has a $20,000 salary

Bonus of new trainer = $5 million, keep current trainer until salary = $132,500
Bonus of new trainer = $4 million, keep current trainer until salary = $117,250
Bonus of new trainer = $2.5 million, keep current trainer until salary = $92,500

(HeadPaperPusher)


500K fee +
16000 salary week 1 +
16320 salary week 2 +
16646 salary week 3 +
16979 salary week 4 +
17319 salary week 5 +
17665 salary week 6 +
18018 salary week 7 +
18378 salary week 8 +
18746 salary week 9 +
19120 salary week 10 =

675191$

On the other hand we have

5000 fee +
50000 salary week 1 +
51000 salary week 2 +
52020 salary week 3 +
53060 salary week 4 +
54121 salary week 5 +
55204 salary week 6 +
56308 salary week 7 +
57434 salary week 8 +
58582 salary week 9 +
59754 salary week 10 =

552483$

(RFlagzzz)


I'll remind you that we have a self-tuning economy. Each offseason, the total salary of players is matched to game-wide income. If people choose to train the most expensive players in the game, then the next adjustment will mean that you get more skill for a fixed amount of salary. If people choose not to train the best players but income continues to rise slightly (as more expensive players drive TV contracts up), you'll continue to get slightly less skill for a fixed amount of salary.

Globally, salaries are tuned to income. In other words, imagine that tomorrow we multiplied the skills of every player by 2. Then, all of their salaries would stay the same.

(Charles)

On the top left are the changes for the players in my sample from season 15 to season 16. Ideally for this purpose they should have received no salary-relevant training, but I include a few who apparently have received a little bit, among them our sole outlier Bertas Seporaitis at the top end. Still the pattern is clear, you can see where the graph 'turns a corner' at around $280k.

On the top right you see the compounded salary changes since the beginning of dynamic salaries in season 11(?). In the low salary regions where almost all players are, the differences are not big - decreases between 15% and 20% of original salaries.

On the bottom left is the picture that emerges if one tries to find a "salary deflation coefficient" for season 16 in the form of an exponent, as we have done in the last seasons. Some may remember that already for season 15 some irregularities emerged between very low and higher salaries under such a model, and with the further compound changes of this season it becomes clear that even below 'monster territory' there is no single coefficient that fits all players - there appears to be a nonlinear decrease of the coefficient from very low to medium and high salaries. Above $280k the old 'salary deflation coefficient' model breaks down completely, as there is now a second, nonlinear relationship in place here. [Edit: The title of that diagram is a bit misleading, it is not about the change from s15->s16, but from origin to s16]

On the bottom right you see the top left graph again, but this time with the salaries drawn on a logarithmic scale on the X-axis. In such a view the change of the decrease over the salary range appears linear again, with two different gradients for 'normal' and then for 'monster' salaries above the $280k (in season 15 terms) salary point. Our Lithuanian behemoth Bertoraitis at the top end messes things up just a little bit because he trained. This graph explains why I suggest the new model for dynamic salary change as described in the previous message - the fit with the calculated coefficients is very good, with errors of much less than 1% on untrained players.

Now the interesting part, which is a bit speculative: With such a structure for the dynamic salary formula, the BB's can in the future tune 'normal' and 'monster' salaries independently. For example monster salaries could be left constant in the future while normal salaries continue to decrease at a slow pace, swallowing up the lower parts of the monster-curve - or vice versa, monster salaries could continue to fall and normal salaries remain near constant. For monster-owners like myself this is something new to think about...

(Josef Ka)