Simulated nfl draft

Simulated nfl draft
an initial random seed of 4 at the beginning and simulations 100.

Well also set fresh_season true to blank out the existing results from the 2020 season, but normally when simulating an incomplete season, you wouldnt do these things.

The output contains a lot of pre-aggregated information, as well as the individual results from each game of each simulation.

For example, lets look at the overall results for the Bears: We can see the Bears got.8 wins on average.

They made the playoffs 87 of simulations, won the division in 39, won the Super Bowl in 4, and only in 1 did they receive a top five draft pick.

The teams section of the output will show how a team did in each simulated season.

Lets check out the playoff games from the first simulation, where the Bears went 10-6 and got the 6th seed.

In this simulation, the Bears beat the Rams in a wildcard game by 26 points, then beat the Cowboys in the divisional round by 11 points, took the Eagles by a field goal in the NFC Championship Game.

As you may have gathered at this point, the default simulation code picks a random Elo for every team, and uses those as the starting Elo ratings for all 32 teams.

However, the default code Elo will adjust independently within each simulation as each week is simulated.

(The Elo model used is loosely based off of that.

use Your Own Model, but of course the real value of nflseedR is putting in your own model into the simulator.

To accomplish this, you can write your own function which will determine the output of games instead.

As an example, heres a very stupid model that makes the team earlier alphabetically win by 3 points 90 of the time, and lose by 3 points the other 10 of the time.

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