Compute NFL Playoff Seedings using Game Results and Divisional Rankings
Source:R/compute_conference_seeds.R
compute_conference_seeds.RdCompute NFL Playoff Seedings using Game Results and Divisional Rankings
Usage
compute_conference_seeds(
teams,
h2h = NULL,
tiebreaker_depth = 3,
.debug = FALSE,
playoff_seeds = 7
)Arguments
- teams
The division standings data frame as computed by
compute_division_ranks- 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.- 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
TRUEorFALSE. Controls whether additional messages are printed to the console showing what the tie-breaking algorithms are currently performing.- playoff_seeds
Number of playoff teams per conference (increased in 2020 from 6 to 7).
Value
A data frame of division standings including playoff seeds and the
week in which the season ended for the respective team (exit).
A list of two data frames:
- standings
Division standings including playoff seeds.
- h2h
A data frame that is used for head-to-head tiebreakers across the tie-breaking functions.
See also
The examples on the package website
Examples
# \donttest{
# Change some options for better output
old <- options(list(digits = 3, tibble.print_min = 64))
library(dplyr, warn.conflicts = FALSE)
try({#to avoid CRAN test problems
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() %>%
nflseedR::compute_conference_seeds(h2h = .$h2h) %>%
purrr::pluck("standings")
})
#> ℹ 13:09:32 | Calculating team data
#> ℹ 13:09:32 | Calculating head to head
#> ℹ 13:09:32 | Calculating division rank #1
#> ℹ 13:09:32 | Calculating division rank #2
#> ℹ 13:09:33 | Calculating division rank #3
#> ℹ 13:09:33 | Calculating division rank #4
#> ℹ 13:09:33 | Calculating seed #1
#> ℹ 13:09:33 | Calculating seed #2
#> ℹ 13:09:34 | Calculating seed #3
#> ℹ 13:09:34 | Calculating seed #4
#> ℹ 13:09:34 | Calculating seed #5
#> ℹ 13:09:34 | Calculating seed #6
#> ℹ 13:09:34 | Calculating seed #7
#> # A tibble: 64 × 17
#> 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 6 more variables: conf_pct <dbl>, sov <dbl>, sos <dbl>,
#> # div_rank <dbl>, seed <dbl>, exit <dbl>, and abbreviated variable name
#> # ¹true_wins
# Restore old options
options(old)
# }