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Compute NFL Division Rankings using Game Results

Usage

compute_division_ranks(
  games,
  teams = NULL,
  tiebreaker_depth = 3,
  .debug = FALSE,
  h2h = NULL
)

Arguments

games

A data frame containing real or simulated game scores. The following variables are required:

sim

A simulation ID. Normally 1 - n simulated seasons.

game_type

One of 'REG', 'WC', 'DIV', 'CON', 'SB' indicating if a game was a regular season game or one of the playoff rounds.

week

The week of the corresponding NFL season.

away_team

Team abbreviation of the away team (please see divisions for valid team abbreviations).

home_team

Team abbreviation of the home team (please see divisions for valid team abbreviations).

result

Equals home score - away score.

teams

This parameter is optional. If it is NULL the function will compute it internally, otherwise it has to be a data frame of all teams contained in the games data frame repeated for each simulation ID (sim). The following variables are required:

sim

A simulation ID. Normally 1 - n simulated seasons.

team

Team abbreviation of the team (please see divisions for valid team abbreviations).

conf

Conference abbreviation of the team (please see divisions for valid team abbreviations).

division

Division of the team (please see divisions for valid division names).

tiebreaker_depth

A single value equal to 1, 2, or 3. The default is 3. The value controls the depth of tiebreakers that shall be applied. The deepest currently implemented tiebreaker is strength of schedule. The following values are valid:

tiebreaker_depth = 1

Break all ties with a coinflip. Fastest variant.

tiebreaker_depth = 2

Apply head-to-head and division win percentage tiebreakers. Random if still tied.

tiebreaker_depth = 3

Apply all tiebreakers through strength of schedule. Random if still tied.

.debug

Either TRUE or FALSE. Controls whether additional messages are printed to the console showing what the tie-breaking algorithms are currently performing.

h2h

A data frame that is used for head-to-head tiebreakers across the tie-breaking functions. It is computed by the function compute_division_ranks.

Value

A list of two data frames:

standings

Division standings.

h2h

A data frame that is used for head-to-head tiebreakers across the tie-breaking functions.

See also

Examples

# \donttest{
# Change some options for better output
old <- options(list(digits = 3, tibble.print_min = 64))
library(dplyr, warn.conflicts = FALSE)

nflseedR::load_sharpe_games() %>%
  dplyr::filter(season %in% 2019:2020) %>%
  dplyr::select(sim = season, game_type, week, away_team, home_team, result) %>%
  nflseedR::compute_division_ranks() %>%
  purrr::pluck("standings")
#>  2022-09-29 02:23:37: Calculating team data
#>  2022-09-29 02:23:37: Calculating head to head
#>  2022-09-29 02:23:37: Calculating division rank #1
#>  2022-09-29 02:23:37: Calculating division rank #2
#>  2022-09-29 02:23:37: Calculating division rank #3
#>  2022-09-29 02:23:37: Calculating division rank #4
#> # A tibble: 64 × 16
#>      sim conf  division  team  games  wins true_w…¹ losses  ties win_pct div_pct
#>    <int> <chr> <chr>     <chr> <int> <dbl>    <int>  <int> <int>   <dbl>   <dbl>
#>  1  2019 AFC   AFC East  BUF      16  10         10      6     0  0.625    0.5  
#>  2  2019 AFC   AFC East  MIA      16   5          5     11     0  0.312    0.333
#>  3  2019 AFC   AFC East  NE       16  12         12      4     0  0.75     0.833
#>  4  2019 AFC   AFC East  NYJ      16   7          7      9     0  0.438    0.333
#>  5  2019 AFC   AFC North BAL      16  14         14      2     0  0.875    0.833
#>  6  2019 AFC   AFC North CIN      16   2          2     14     0  0.125    0.167
#>  7  2019 AFC   AFC North CLE      16   6          6     10     0  0.375    0.5  
#>  8  2019 AFC   AFC North PIT      16   8          8      8     0  0.5      0.5  
#>  9  2019 AFC   AFC South HOU      16  10         10      6     0  0.625    0.667
#> 10  2019 AFC   AFC South IND      16   7          7      9     0  0.438    0.5  
#> 11  2019 AFC   AFC South JAX      16   6          6     10     0  0.375    0.333
#> 12  2019 AFC   AFC South TEN      16   9          9      7     0  0.562    0.5  
#> 13  2019 AFC   AFC West  DEN      16   7          7      9     0  0.438    0.5  
#> 14  2019 AFC   AFC West  KC       16  12         12      4     0  0.75     1    
#> 15  2019 AFC   AFC West  LAC      16   5          5     11     0  0.312    0    
#> 16  2019 AFC   AFC West  OAK      16   7          7      9     0  0.438    0.5  
#> 17  2019 NFC   NFC East  DAL      16   8          8      8     0  0.5      0.833
#> 18  2019 NFC   NFC East  NYG      16   4          4     12     0  0.25     0.333
#> 19  2019 NFC   NFC East  PHI      16   9          9      7     0  0.562    0.833
#> 20  2019 NFC   NFC East  WAS      16   3          3     13     0  0.188    0    
#> 21  2019 NFC   NFC North CHI      16   8          8      8     0  0.5      0.667
#> 22  2019 NFC   NFC North DET      16   3.5        3     12     1  0.219    0    
#> 23  2019 NFC   NFC North GB       16  13         13      3     0  0.812    1    
#> 24  2019 NFC   NFC North MIN      16  10         10      6     0  0.625    0.333
#> 25  2019 NFC   NFC South ATL      16   7          7      9     0  0.438    0.667
#> 26  2019 NFC   NFC South CAR      16   5          5     11     0  0.312    0.167
#> 27  2019 NFC   NFC South NO       16  13         13      3     0  0.812    0.833
#> 28  2019 NFC   NFC South TB       16   7          7      9     0  0.438    0.333
#> 29  2019 NFC   NFC West  ARI      16   5.5        5     10     1  0.344    0.167
#> 30  2019 NFC   NFC West  LA       16   9          9      7     0  0.562    0.5  
#> 31  2019 NFC   NFC West  SEA      16  11         11      5     0  0.688    0.5  
#> 32  2019 NFC   NFC West  SF       16  13         13      3     0  0.812    0.833
#> 33  2020 AFC   AFC East  BUF      16  13         13      3     0  0.812    1    
#> 34  2020 AFC   AFC East  MIA      16  10         10      6     0  0.625    0.5  
#> 35  2020 AFC   AFC East  NE       16   7          7      9     0  0.438    0.5  
#> 36  2020 AFC   AFC East  NYJ      16   2          2     14     0  0.125    0    
#> 37  2020 AFC   AFC North BAL      16  11         11      5     0  0.688    0.667
#> 38  2020 AFC   AFC North CIN      16   4.5        4     11     1  0.281    0.167
#> 39  2020 AFC   AFC North CLE      16  11         11      5     0  0.688    0.5  
#> 40  2020 AFC   AFC North PIT      16  12         12      4     0  0.75     0.667
#> 41  2020 AFC   AFC South HOU      16   4          4     12     0  0.25     0.333
#> 42  2020 AFC   AFC South IND      16  11         11      5     0  0.688    0.667
#> 43  2020 AFC   AFC South JAX      16   1          1     15     0  0.0625   0.167
#> 44  2020 AFC   AFC South TEN      16  11         11      5     0  0.688    0.833
#> 45  2020 AFC   AFC West  DEN      16   5          5     11     0  0.312    0.167
#> 46  2020 AFC   AFC West  KC       16  14         14      2     0  0.875    0.667
#> 47  2020 AFC   AFC West  LAC      16   7          7      9     0  0.438    0.5  
#> 48  2020 AFC   AFC West  LV       16   8          8      8     0  0.5      0.667
#> 49  2020 NFC   NFC East  DAL      16   6          6     10     0  0.375    0.333
#> 50  2020 NFC   NFC East  NYG      16   6          6     10     0  0.375    0.667
#> 51  2020 NFC   NFC East  PHI      16   4.5        4     11     1  0.281    0.333
#> 52  2020 NFC   NFC East  WAS      16   7          7      9     0  0.438    0.667
#> 53  2020 NFC   NFC North CHI      16   8          8      8     0  0.5      0.333
#> 54  2020 NFC   NFC North DET      16   5          5     11     0  0.312    0.167
#> 55  2020 NFC   NFC North GB       16  13         13      3     0  0.812    0.833
#> 56  2020 NFC   NFC North MIN      16   7          7      9     0  0.438    0.667
#> 57  2020 NFC   NFC South ATL      16   4          4     12     0  0.25     0.167
#> 58  2020 NFC   NFC South CAR      16   5          5     11     0  0.312    0.167
#> 59  2020 NFC   NFC South NO       16  12         12      4     0  0.75     1    
#> 60  2020 NFC   NFC South TB       16  11         11      5     0  0.688    0.667
#> 61  2020 NFC   NFC West  ARI      16   8          8      8     0  0.5      0.333
#> 62  2020 NFC   NFC West  LA       16  10         10      6     0  0.625    0.5  
#> 63  2020 NFC   NFC West  SEA      16  12         12      4     0  0.75     0.667
#> 64  2020 NFC   NFC West  SF       16   6          6     10     0  0.375    0.5  
#> # … with 5 more variables: conf_pct <dbl>, sov <dbl>, sos <dbl>,
#> #   div_rank <dbl>, max_reg_week <int>, and abbreviated variable name
#> #   ¹​true_wins

# Restore old options
options(old)
# }