Comments (3)
ochawkeye
commented on August 17, 2024
1
As @derek-adair mentioned, calculating fantasy scores falls outside the scope of this project, but the data this library grants access to gives you everything you need to calculate scores yourself.
For a simple scoring system something like this would suffice:
import nflgame
def base_fantasy_points(player):
"""
Baseline points consist of only passing, rushing, receiving, and extra
point stat categories.
All punt returns, kick returns, and field goals are calculated later by
evaluating all plays and are generated separately.
"""
points = +1*getattr(player, 'passing_yds')
points += +60*getattr(player, 'passing_tds')
points += -45*getattr(player, 'passing_ints')
points += -2*getattr(player, 'passing_att')
points += +2*getattr(player, 'passing_cmp')
points += +2*getattr(player, 'rushing_yds')
points += +60*getattr(player, 'rushing_tds')
points += +2*getattr(player, 'receiving_rec')
points += +2*getattr(player, 'receiving_yds')
points += +60*getattr(player, 'receiving_tds')
points += -45*getattr(player, 'fumbles_lost')
points += +20*getattr(player, 'passing_twoptm')
points += +20*getattr(player, 'rushing_twoptm')
points += +20*getattr(player, 'receiving_twoptm')
points += +10*getattr(player, 'kicking_xpmade')
points += -20*getattr(player, 'kicking_xpmissed')
return points
games = nflgame.games(2018, week=1, kind='PRE', home='MIN', away='MIN')
players = nflgame.combine_max_stats(games)
for game in games:
print game
for player in sorted(players, key=lambda x: base_fantasy_points(x), reverse=True):
if base_fantasy_points(player):
print player.player.name, player.team, base_fantasy_points(player)
print player.formatted_stats()MIN (42) at DEN (28)
Roc Thomas RB MIN 388
receiving_tds: 2, receiving_yac_yds: 91, receiving_rec: 3, rushing_yds: 29, receiving_yds: 102, rushing_att: 8, receiving_tar: 3, rushing_lngtd: 0, receiving_twopta: 0, receiving_lng: 78, rushing_tds: 0, rushing_twopta: 0, rushing_lng: 9, receiving_lngtd: 78, receiving_twoptm: 0, rushing_twoptm: 0
Chad Kelly QB DEN 314
passing_incmp_air_yds: 42, passing_sk: 1, passing_att: 21, passing_sk_yds: -8, passing_int: 1, passing_yds: 177, passing_incmp: 7, passing_cmp: 14, rushing_yds: 38, rushing_att: 3, passing_tds: 2, passing_cmp_air_yds: 99, rushing_lngtd: 0, passing_twoptm: 0, passing_twopta: 0, rushing_tds: 0, rushing_twopta: 0, rushing_lng: 18, passing_ints: 1, rushing_twoptm: 0
Kyle Sloter QB MIN 243
passing_sk: 1, passing_incmp_air_yds: 10, passing_att: 11, passing_sk_yds: -6, passing_twoptm: 1, passing_twopta: 1, rushing_tds: 1, passing_yds: 69, passing_incmp: 2, passing_cmp: 9, rushing_yds: 19, rushing_att: 2, passing_tds: 1, passing_cmp_air_yds: 49, rushing_lngtd: 14, rushing_twopta: 0, rushing_lng: 14, passing_ints: 0, rushing_twoptm: 0
Trevor Siemian QB MIN 228
passing_incmp_air_yds: 29, passing_sk: 2, passing_att: 17, passing_sk_yds: -11, passing_int: 1, passing_yds: 165, passing_incmp: 6, passing_cmp: 11, passing_tds: 2, passing_cmp_air_yds: 55, passing_twoptm: 0, passing_twopta: 0, passing_ints: 1
Phillip Lindsay RB DEN 160
receiving_tds: 1, receiving_yac_yds: 37, kickret_yds: 34, receiving_rec: 3, rushing_yds: 7, receiving_yds: 40, rushing_att: 2, receiving_tar: 4, kickret_ret: 1, kickret_lngtd: 0, rushing_lngtd: 0, kickret_lng: 34, receiving_twopta: 0, receiving_lng: 19, rushing_tds: 0, kickret_avg: 34, rushing_twopta: 0, rushing_lng: 5, receiving_lngtd: 19, receiving_twoptm: 0, rushing_twoptm: 0, kickret_tds: 0
...
Case Keenum QB DEN -1
passing_incmp_air_yds: 13, passing_att: 4, passing_yds: 5, passing_incmp: 3, passing_cmp: 1, passing_cmp_air_yds: 2, passing_twoptm: 0, passing_twopta: 0, passing_ints: 0, passing_tds: 0
Paxton Lynch QB DEN -25
passing_incmp_air_yds: 33, passing_sk: 1, passing_att: 11, passing_sk_yds: -9, passing_int: 1, passing_yds: 24, passing_incmp: 5, passing_cmp: 6, rushing_yds: 3, rushing_att: 1, passing_cmp_air_yds: 11, rushing_lngtd: 0, passing_twoptm: 0, passing_twopta: 0, rushing_tds: 0, rushing_twopta: 0, rushing_lng: 3, passing_ints: 1, passing_tds: 0, rushing_twoptm: 0
When your scoring gets more complicated (ie. points based on longer field goals, etc), you can utilize the play-by-play data.
plays = nflgame.combine_plays(games)
plays40 = plays.filter(kicking_fgm__ge=1, kicking_fgm_yds__ge=40, kicking_fgm_yds__lt=50)
for player in plays40.players().kicking():
fantasy_players_dict[player.playerid].medium_fgs += player.kicking_fgmfrom nflgame.
derek-adair
commented on August 17, 2024
Hello there!
I'm taking over the managment of this code, and I am no expert either. I've exclusively used this for games win/loss tracking. So i know how the schedule code works quite well.
Glancing at the player code it looks like there is no effort towards calculating fantasy points. I'm pretty sure thats out of the scope of this particular project anyhow.
Looking at nfldb, a project that puts the data this project pulls into a relational database, there is no mention of points or anything like that either.
However, it is likely trivial to write your own point rules. This project and the other related ones are more like the code to enable and make writing your own fantasy league possible.... not so much a drop in fantasy football app.
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benlindsay
commented on August 17, 2024
Thanks for the input! I ended up hacking something together like that to match my league's scoring for players and teams (at least I think it does it right). Still a work in progress but found here
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Related Issues (20)
- How to mock live games HOT 2
- Refactor update_schedule.py HOT 1
- Move schedule logic from live.py to update_schedule.py OR sched.py
- Refactor update_players.py
- Download / Cache detailed team data
- NFL Rosters Fail to Update w/o Spoofed User-Agent HOT 1
- Verify Schedule.json accuracy HOT 10
- Update Schedule is pulling the entire year
- UnboundLocalError: local variable 'stored_week' referenced before assignment HOT 4
- ProBowl not included
- PSA - Nfl data feed is down HOT 51
- data issue from nfl.com HOT 1
- Historical Data HOT 1
- Error with games, last_updated = _create_schedule() in sched.py HOT 5
- Too many values to unpack ERROR and question on historical data HOT 3
- Make columns for play descriptions
- AttributeError: module 'nflgame.live' has no attribute '_cur_season_phase' HOT 5
- Seeking new maintainer/project owner HOT 4
- nflgame.combine_plays -- nflgame is not defined HOT 1
- The discord link is broken?? HOT 1
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