# nflfastR (development version) Unreleased

• Performance update for win probability model with point spread (vegas_wp)
• Added yardline_100 as an input to both win probability models (not having it included was an oversight)

# nflfastR 3.1.1 2020-10-22

## New features

### Database Function update_db()

• The argument force_rebuild of the function update_db() is now of hybrid type. It can rebuild the play by play data table either for the whole nflfastR era (with force_rebuild = TRUE) or just for specified seasons (e.g. force_rebuild = 2019:2020). The latter is intended to be used for running seasons because the NFL fixes bugs in the play by play data during the week and we recommend to rebuild the current season every Thursday.
• Fixed a bug where update_db() disconnected the connection to a database provided by the argument db_connection (#102)
• Fixed a bug where update_db() didn’t build a fresh database without providing the argument force_rebuild
• update_db() no longer removes the complete data table when a numeric argument force_rebuild is passed but only removes the rows within the table (#109)

### New Functions

• Added the new function build_nflfastR_pbp(), a convenient wrapper around multiple nflfastR functions for an easy creation of the nflfastR play-by-play data set
• Added a function that applies our experimental expected pass model, add_xpass(), that creates columns xpass and pass_oe

## Minor improvements and fixes

• More fixes for fixed_drive which was not incrementing properly on drives that began following a timeout
• Fixed more bugs in EPA and win probability on PATs and kickoffs with penalties
• Fixed a bug where scoring probabilities weren’t adding to 1 on field goal attempts near the end of a half
• Messages to the user are now created with the new dependency usethis
• Fixed bug where plays with “backward pass” in play description were counted as pass plays (pass = 1)
• Fixed missing kick distance on touchbacks and blocked punts (#53)
• Added the option fast (either TRUE or FALSE) to the function decode_player_ids() to activate the high efficient C++ decoder of the package gsisdecoder

# nflfastR 3.0.0 2020-09-24

## Breaking changes

• fast_scraper_roster() is finally back! It loads NFL roster of a given season.
• Added the function decode_player_ids() to decode all player IDs to the commonly known GSIS ID format (00-00xxxxx)

## New features

• Add option source = "old" to fast_scraper() to enable scraping of old source. This is mostly useless as it doesn’t work for 2020 and provides less info
• Added new option db_connection to update_db() to allow advanced users to use other DBI drivers, such as RMariaDB::MariaDB(), RPostgres::Postgres() or odbc::odbc() (please see dbplyr for more information)

## Minor improvements and fixes

• clean_pbp() now fixes some bugs in jersey numbers
• clean_pbp(), add_qb_epa() and add_xyac() can now handle empty data frames
• Fix empty line causing fast_scraper() to fail (affects multiple games of the 2020 season)
• Fix bug in fixed_drive that counted PAT after defensive TD as its own drive
• Fixed a bug which caused too high number of tackles in special cases
• Fixed a bug where CPOE was NA when targeting players with apostrophe in last name

# nflfastR 2.2.1 2020-09-01

• Fix add_xyac() breaking with some old packages
• Fix add_xyac() and add_qb_epa() calculations being wrong for some failed 4th downs
• Updated Readme with ep and cp model plots
• Updated vignette("examples") with the new add_xyac() function
• Added xYAC model to vignette("nflfastR-models")
• Added variables fixed_drive and fixed_drive_result to the output of fast_scraper() because the NFL-provided drive info is extremely buggy
• Added variable series_result
• clean_pbp() now adds 4 new variables passer_jersey_number, rusher_jersey_number, receiver_jersey_number and jersey_number. These can be used to join rosters.
• Fixed incorrect timeout_team, return_team, fumble_recovery_1_team for JAX games from 2011-2015
• Re-trained EPA model with fixed_drive and corrections to timeout_team

# nflfastR 2.2.0 Unreleased

• New function add_xyac() which adds the following columns associated with expected yards after the catch (xYAC): xyac_epa, xyac_success, xyac_fd, xyac_mean_yardage, xyac_median_yardage

# nflfastR 2.1.3 Unreleased

• Fixed a bug in series_success caused by bad drive information provided by NFL

# nflfastR 2.1.2 Unreleased

• Added the following columns that are available 2011 and later: special_teams_play, st_play_type, time_of_day, and order_sequence
• Added old_game_id column (useful for merging to external data that still uses this ID: format is YYYYMMDDxx)
• The clean_pbp() function now adds an aborted_play column
• Fixed a bug where pass plays with a penalty at end of play were classified as play_type = no_play rather than pass
• Fixed bug where EPA on defensive 2 point return was -0.95 instead of -2.95
• Fixed some remaining failed challenge plays that incorrectly had 0 for EPA
• Updated the included dataframe teams_colors_logos for the interim name of the ‘Washington Football Team’ and the corresponding logo urls.
• Some internal code improvements causing the required tidyselect version to be >= 1.1.0

# nflfastR 2.1.1 Unreleased

### Functions

• clean_pbp() now standardizes player IDs across the old (1999-2010) and new (2011+) data sources. Player IDs once again uniquely identify players, and each unique player has one unique ID (as they did before the NFL data source change):
• For players whose careers finished before 2011, their IDs remain the same
• For players who played in both eras or only in the new era, their ID is the new ID
• For example, Akili Smith (ID: 00-0015082) and Alex Smith (ID: 32013030-2d30-3032-3334-3336b638d37d) are both abbreviated as “A.Smith” but can be distinguished by their IDs, with Akili showing what the old format ID looks like, and Smith the new one
• Standardization is realized by using an ID map available in the data repo created with this script
• clean_pbp() now removes all variables it is about to create to make sure nothing unexpected can happen

### Miscellaneous

• Added minimum version requirements to some package dependencies because installation broke for some users with outdated packages

• Made a minor bug fix to catch more out-of-order plays and fixed a bug where some plays were being incorrectly dropped in older seasons

• Standardized team names (e.g. SD –> LAC) in some columns we had missed

# nflfastR 2.1.0 Unreleased

### Models

• Removed week from Expected Points models along with an update of vignette("nflfastR-models") and vignette("examples")

### Functions

• Added function update_db() which adds all completed games to a SQLite database
• Added function calculate_win_probability()
• Added new examples to vignette("examples") demonstrating the usage of the above mentioned functions

### Bugs

• Fixed a problem with inconsistent data types of the variable drive_real_start_time pre and post 2011
• Fixed a problem where some game_ids were overwritten during the play by play parsing
• Fix some more WP bugs on kickoffs with penalties and rare play description

### Miscellaneous

• fast_scraper() now loads the raw game data from a separate raw data repo
• Completely overhauled the entire code base to directly implement tidy evaluation using .data from the rlang package (this is a major code change that takes some getting used to but we need it in preparation of a future release)

# nflfastR 2.0.6 Unreleased

• Fixed a problem where defensive two point conversions were not counted
• Kneels on kickoffs are no longer counted as qb kneels
• Variable yards_gained more precisely defined
• Bugfixes for more games with out of order of plays
• Fix bug related to EPA on plays with a failed pass interference challenge
• Added new example to vignette("examples") to demonstrate Expected Points calculator calculate_expected_points()
• Fix for WP on 2-pt conversion negated by penalty
• Add more variables (containing team names) to team standardization in clean_pbp()
• Fix WP for onside kicks

# nflfastR 2.0.5 Unreleased

• Fix yet another bug caused by NFL providing plays out of order
• Fix bugs related to penalties on PATs and kickoffs
• Fix bugs related to NFL providing wrong scoring team on defensive touchdowns in older games involving the Jaguars
• Fix some minor issues related to wrong first_down_rush and return_touchdown
• Improved error handling of fast_scraper() for not yet played games
• Improved variable documentation and prepared for new website
• Improved performance for dplyr v1.0.0
• Rebuilt EP and WP models due to bugfixes in the underlying data in the versions 2.0.3, 2.0.4 and 2.0.5

# nflfastR 2.0.4 Unreleased

• Fix another bug with out of order plays
• Fix bug affecting cumulative totals for WPA, air_WPA and yac_WPA
• Fix bug affecting cumulative totals for air_EPA and yac_EPA

# nflfastR 2.0.3 Unreleased

• Fix for NFL providing plays out of order
• Fix for series not incrementing following defensive TD

# nflfastR 2.0.2 Unreleased

• Fixed a bug in the series and series success calculations caused by timeouts following a possession change
• Fixed win probability on PATs

# nflfastR 2.0.1 Unreleased

• Added minimum version requirement on xgboost (>= 1.1) as the recent xgboost update caused a breaking change leading to failure in adding model results to data

# nflfastR 2.0.0 Unreleased

### Models

• Added new models for Expected Points, Win Probability and Completion Probability and removed nflscrapR dependency. This is a major change as we are stepping away from the well established nflscrapR models. But we believe it is a good step forward. See data-raw/MODEL-README.md for detailed model information.

• Added internal functions for EPA and WPA to helper_add_ep_wp.R.

• Added new function calculate_expected_points() usable for the enduser.

### Functions

• Completely overhauled fast_scraper() to make it work with the NFL’s new server backend. The option source is still available but will be deprecated since there is only one source now. There are some changes in the output as well (please see below).

• fast_scraper() now adds game data to the play by play data set courtesy of Lee Sharpe. Game data include: away_score, home_score, location, result, total, spread_line, total_line, div_game, roof, surface, temp, wind, home_coach, away_coach, stadium, stadium_id, gameday

• fastcraper_schedules() now incorporates Lee Sharpe’s games.rds.

• The functions fast_scraper_clips() and fast_scraper_roster() are deactivated due to the missing data source. They might be reactivated or completely dropped in future versions.

• The function fix_fumbles() has been renamed to add_qb_epa() as the new name much better describes what the function is actually doing.

### Miscellaneous

• Added progress information using the progressrpackage and removed the furrr progress bars.

• clean_pbp() now adds the column ìd which is the id of the player in the column name. Because we have to piece together different data to cover the full span of years, player IDs are not consistent between the early (1999-2010) and recent (2011 onward) periods.

• Added a NEWS.md file to track changes to the package.

• Fixed several bugs inhereted from nflscrapR, including one where EPA was missing when a play was followed by two timeouts (for example, a two-minute warning followed by a timeout), and another where play_type was incorrect on plays with declined penalties.

• Fixed a bug, where receiver_player_name and receiver didn’t name the correct players on plays with lateral passes.

### Play-by-Play Output

The output has changed a little bit.

#### The following variables were dropped

Dropped Variables Description
game_key RS feed game identifier.
game_time_local Kickoff time in local time zone.
iso_time Kickoff time according ISO 8601.
game_type One of ‘REG’, ‘WC’, ‘DIV’, ‘CON’, ‘SB’ indicating if a game was a regular season game or one of the playoff rounds.
site_id RS feed id for game site.
site_city Game site city.
site_state Game site state.
drive_possession_team_abbr Abbreviation of the possession team in a given drive.
scoring_team_abbr Abbreviation of the scoring team if the play was a scoring play.
scoring_type String indicating the scoring type. One of ‘FG’, ‘TD’, ‘PAT’, ‘SFTY’, ‘PAT2’.
alert_play_type String describing the play type of a play the NFL has listed as alert play. For most of those plays there are highlight clips available through fast_scraper_clips.
time_of_day Local time at the beginning of the play.
yards Analogue yards_gained but with the kicking team being the possession team (which means that there are many yards gained through kickoffs and punts).
end_yardline_number Yardline number within the above given side at the end of the given play.
end_yardline_side String indicating the side of the field at the end of the given play.

#### The following variables were renamed

Renamed Variables Description
game_time_eastern -> start_time Kickoff time in eastern time zone.
site_fullname -> stadium Game site name.
drive_how_started -> drive_start_transition String indicating how the offense got the ball.
drive_how_ended -> drive_end_transition String indicating how the offense lost the ball.
drive_start_time -> drive_game_clock_start Game time at the beginning of a given drive.
drive_end_time -> drive_game_clock_end Game time at the end of a given drive.
drive_start_yardline -> drive_start_yard_line String indicating where a given drive started consisting of team half and yard line number.
drive_end_yardline -> drive_end_yard_line String indicating where a given drive ended consisting of team half and yard line number.
roof_type -> roof One of ‘dome’, ‘outdoors’, ‘closed’, ‘open’ indicating indicating the roof status of the stadium the game was played in. (Source: Pro-Football-Reference)

#### The following variables were added

vegas_wp Estimated win probabiity for the posteam given the current situation at the start of the given play, incorporating pre-game Vegas line.
vegas_home_wp Estimated win probability for the home team incorporating pre-game Vegas line.
weather String describing the weather including temperature, humidity and wind (direction and speed). Doesn’t change during the game!
nfl_api_id UUID of the game in the new NFL API.
play_clock Time on the playclock when the ball was snapped.
play_deleted Binary indicator for deleted plays.
end_clock_time Game time at the end of a given play.
end_yard_line String indicating the yardline at the end of the given play consisting of team half and yard line number.
drive_real_start_time Local day time when the drive started (currently not used by the NFL and therefore mostly ‘NA’).
drive_ended_with_score Binary indicator the drive ended with a score.
drive_quarter_start Numeric value indicating in which quarter the given drive has started.
drive_quarter_end Numeric value indicating in which quarter the given drive has ended.
drive_play_id_started Play_id of the first play in the given drive.
drive_play_id_ended Play_id of the last play in the given drive.
away_score Total points scored by the away team.
home_score Total points scored by the home team.
location Either ‘Home’ o ‘Neutral’ indicating if the home team played at home or at a neutral site.
result Equals home_score - away_score and means the game outcome from the perspective of the home team.
total Equals home_score + away_score and means the total points scored in the given game.
spread_line The closing spread line for the game. A positive number means the home team was favored by that many points, a negative number means the away team was favored by that many points. (Source: Pro-Football-Reference)
total_line The closing total line for the game. (Source: Pro-Football-Reference)
div_game Binary indicator for if the given game was a division game.
roof One of ‘dome’, ‘outdoors’, ‘closed’, ‘open’ indicating indicating the roof status of the stadium the game was played in. (Source: Pro-Football-Reference)
surface What type of ground the game was played on. (Source: Pro-Football-Reference)
temp The temperature at the stadium only for ‘roof’ = ‘outdoors’ or ‘open’.(Source: Pro-Football-Reference)
wind The speed of the wind in miles/hour only for ‘roof’ = ‘outdoors’ or ‘open’. (Source: Pro-Football-Reference)
home_coach First and last name of the home team coach. (Source: Pro-Football-Reference)
away_coach First and last name of the away team coach. (Source: Pro-Football-Reference)
stadium_id ID of the stadium the game was played in. (Source: Pro-Football-Reference)
game_stadium Name of the stadium the game was played in. (Source: Pro-Football-Reference)