PR, KR, and D

gistfile1.txt

games = nflgame.games(year, week=week, kind=season_type)
kick_returns, punt_returns = [], []
plays = nflgame.combine_plays(games)
playsKR = plays.filter(kickret_ret__ge=1)
for player in playsKR.players():
    kick_returns.append([
        str(player)+', '+player.team,
        player.kickret_ret,
        player.kickret_yds,
        player.kickret_tds])
plays = nflgame.combine_plays(games)
playsPR = plays.filter(puntret_tot__ge=1)
for player in playsPR.players():
    punt_returns.append([
        str(player)+', '+player.team,
        player.puntret_yds,
        player.puntret_tds])
for each in kick_returns:
    if each[1] > 0 or each[2] > 0 or each[3] > 0:
        if each[0] in result:
            result[each[0]][12] = each[1]
            result[each[0]][13] = each[2]
            result[each[0]][14] = each[3]
        else:
            """
            # I've found that sometimes a player shows up in the
            # play-by-play that has no game stats. These have been
            # limited primarity to lesser known defensive players that
            # return a kick. Pretty much ignoring these cases until the
            # day that one of these lesser known players would actually
            # be used in FF. This will write a warning to the terminal
            # window, but nothing else
            """
            print 'Failed to add %s %s and %s to %s' % (
                each[1], each[2], each[3], each[0])
for each in punt_returns:
    if each[1] > 0 or each[2] > 0:
        if each[0] in result:
            result[each[0]][15] = each[1]
            result[each[0]][16] = each[2]
        else:
            #Same reason as the kick return above
            print 'Failed to add %s and %s to %s' % (
                each[1], each[2], each[0])

#Update points with newly added kick return and punt return statistics
for key, val in result.items():
    val[25] += -10*val[12]+1*val[13]+60*val[14]+2*val[15]+60*val[16]

  games = nflgame.games(year, week=week, kind=season_type)
  #Find defensive interceptions and interceptions for touchdowns
  plays = nflgame.combine_plays(games)
  for p in plays.filter(defense_int=True).players().defense():
      if p.defense_int > 0:
          defense_results[p.team][4] += p.defense_int
          defense_results[p.team][5] += p.defense_tds
  #Find defensive fumble recoveries and defensive fumble recoveries
  # for TD
  plays = nflgame.combine_plays(games)
  for p in plays.filter(defense_frec=True).players().defense():
      if p.defense_frec > 0:
          defense_results[p.team][6] += p.defense_frec
          defense_results[p.team][7] += p.defense_frec_tds
  #Find defensive sacks
  plays = nflgame.combine_plays(games)
  for p in players.filter(defense_sk=lambda x: x > 0).sort("defense_sk"):
      defense_results[p.team][8] += p.defense_sk
  #Find defensive safeties
  plays = nflgame.combine_plays(games)
  for p in plays.filter(defense_safe=True).players().defense():
      if p.defense_safe > 0:
          defense_results[p.team][9] += p.defense_safe
  #Find kick return touchdowns
  plays = nflgame.combine_plays(games)
  for p in plays.filter(kickret_tds=True).players():
      if p.kickret_tds > 0:
          defense_results[p.team][11] += p.kickret_tds
  #Find punt return touchdowns
  plays = nflgame.combine_plays(games)
  for p in plays.filter(puntret_tds=True).players():
      if p.puntret_tds > 0:
          defense_results[p.team][11] += p.puntret_tds