def get_stats(name, year, wks):
# gets stats for a player
# note: weeks must be defined as a list
playersearch = nflgame.find(name, team=None)
if playersearch == []:
return False
player = playersearch[0]
byeweek = schedule.bye_week(player.team, year)
player_stats = {}
try:
wks.remove(byeweek)
except ValueError:
wks=wks
for x in range(0, len(wks)):
dictprop = 'Week '+str(wks[x])
player_stats[dictprop]=(stats.player_stats(name, year, wks[x]))
player_stats[dictprop]['week']=wks[x]
player_stats[dictprop]['bye_week'] = False
return player_stats
def prediction(name, scoring):
# takes player name, type of scoring
# returns fantasy point prediction for next week
playerlist = nflgame.find(name, team=None)
if playerlist == []:
return None
player = playerlist[0]
team = player.team
position = player.position
if position == "K":
return average(name, scoring)
year, current_week = nflgame.live.current_year_and_week()
opponent = schedule.opponent(team, year, current_week)
if opponent == None:
return "Bye Week"
bye_week = schedule.bye_week(team, year)
wk = []
for x in range(1, current_week):
if x != bye_week:
wk.append(x)
total_weeks = []
for x in range(1, current_week):
total_weeks.append(x)
functionname = scoring + "_player_points"
getpoints = getattr(points, functionname)
player_points = points.total_points(getpoints(name, year, wk))
weeks_played = 0
for x in player_points:
if player_points[x] != 0:
weeks_played += 1
total_player_stats = stats.player_stats(name, year, wk)
total_opponent_stats = stats.defense_team_stats(opponent, year,
total_weeks)
total_team_stats = stats.offense_team_stats(team, year, total_weeks)
opponent_weeks_played = len(total_weeks)
if schedule.bye_week(opponent, year) < current_week:
opponent_weeks_played -= 1
if position == "QB":
# calculate passing yds
player_avg_passing_yds = float(
total_player_stats['passing_yds']) / weeks_played
opponent_avg_passing_yds = float(
total_opponent_stats['passing_yds_allowed']
) / opponent_weeks_played
prediction_passing_yds = round(
(player_avg_passing_yds + opponent_avg_passing_yds) / 2)
# calculate passing tds
player_avg_passing_tds = float(
total_player_stats['passing_tds']) / weeks_played
opponent_avg_passing_tds = float(
total_opponent_stats['passing_tds_allowed']
) / opponent_weeks_played
prediction_passing_tds = round(
(player_avg_passing_tds + opponent_avg_passing_tds) / 2)
# calculate rushing yds
player_avg_rushing_yds = float(
total_player_stats['rushing_yds']) / weeks_played
player_rushing_yds_pct = float(
total_player_stats['rushing_yds']
) / total_team_stats[
'rushing_yds'] # percentage of total yds the player contributes
opponent_avg_rushing_yds = float(
total_opponent_stats['rushing_yds_allowed']
) / opponent_weeks_played
prediction_rushing_yds = round(
player_rushing_yds_pct *
(player_avg_rushing_yds + opponent_avg_rushing_yds) / 2)
# calculate rushing tds
player_avg_rushing_tds = float(
total_player_stats['rushing_yds']) / weeks_played
player_rushing_tds_pct = float(
total_player_stats['rushing_tds']
) / total_team_stats[
'rushing_tds'] # percentage of total tds the player contributes
opponent_avg_rushing_tds = float(
total_opponent_stats['rushing_tds_allowed']
) / opponent_weeks_played
prediction_rushing_tds = round(
player_rushing_tds_pct *
(player_avg_rushing_tds + opponent_avg_rushing_tds) / 2)
# calculate total points
prediction_total_points = prediction_passing_yds * .04 + prediction_passing_tds * 4 + prediction_rushing_yds * .1 + prediction_rushing_tds * 6
# return predictions
return {
'passing_yds': prediction_passing_yds,
'passing_tds': prediction_passing_tds,
'rushing_yds': prediction_rushing_yds,
'rushing_tds': prediction_rushing_tds,
'points': prediction_total_points
}
elif position == "RB":
# calculate rushing yds
player_avg_rushing_yds = float(
total_player_stats['rushing_yds']) / weeks_played
player_rushing_yds_pct = float(
total_player_stats['rushing_yds']
) / total_team_stats[
'rushing_yds'] # percentage of total yds the player contributes
opponent_avg_rushing_yds = float(
total_opponent_stats['rushing_yds_allowed']
) / opponent_weeks_played
prediction_rushing_yds = round(
player_rushing_yds_pct *
(player_avg_rushing_yds + opponent_avg_rushing_yds) / 2)
# calculate rushing tds
player_avg_rushing_tds = float(
total_player_stats['rushing_tds']) / weeks_played
player_rushing_tds_pct = float(
total_player_stats['rushing_tds']
) / total_team_stats[
'rushing_tds'] # percentage of total tds the player contributes
opponent_avg_rushing_tds = float(
total_opponent_stats['rushing_tds_allowed']
) / opponent_weeks_played
prediction_rushing_tds = round(
player_rushing_tds_pct *
(player_avg_rushing_tds + opponent_avg_rushing_tds) / 2)
# percentages are generally very low for good players
if (prediction_rushing_tds == 0 and player_rushing_tds_pct > .35
) or weeks_played - player_avg_rushing_tds < 4:
prediction_rushing_tds += 1.0
# calculate receiving yds
player_avg_receiving_yds = float(
total_player_stats['receiving_yds']) / weeks_played
player_receiving_yds_pct = float(
total_player_stats['receiving_yds']
) / total_team_stats[
'passing_yds'] # percentage of total yds the player contributes
opponent_avg_receiving_yds = float(
total_opponent_stats['passing_yds_allowed']
) / opponent_weeks_played
prediction_receiving_yds = round(
player_receiving_yds_pct *
(player_avg_receiving_yds + opponent_avg_receiving_yds) / 2)
# calculate receiving tds
player_avg_receiving_tds = float(
total_player_stats['receiving_tds']) / weeks_played
player_receiving_tds_pct = float(
total_player_stats['receiving_tds']
) / total_team_stats[
'passing_tds'] # percentage of total tds the player contributes
opponent_avg_receiving_tds = float(
total_opponent_stats['passing_tds_allowed']
) / opponent_weeks_played
prediction_receiving_tds = round(
player_receiving_tds_pct *
(player_avg_receiving_tds + opponent_avg_receiving_tds) / 2)
# percentages are generally very low for good players
if (prediction_receiving_tds == 0 and player_receiving_tds_pct > .25
) or weeks_played - player_avg_receiving_tds < 4:
prediction_receiving_tds += 1.0
# calculate total points
prediction_total_points = prediction_rushing_yds * .1 + prediction_rushing_tds * 6 + prediction_receiving_yds * .1 + prediction_receiving_tds * 6
# return predictions
return {
'rushing_yds': prediction_rushing_yds,
'rushing_tds': prediction_rushing_tds,
'receiving_yds': prediction_receiving_yds,
'receiving_tds': prediction_receiving_tds,
'points': prediction_total_points
}
elif position == "WR" or position == "TE":
# calculate receiving yds
player_avg_receiving_yds = float(
total_player_stats['receiving_yds']) / weeks_played
player_receiving_yds_pct = float(
total_player_stats['receiving_yds']
) / total_team_stats[
'passing_yds'] # percentage of total yds the player contributes
opponent_avg_receiving_yds = float(
total_opponent_stats['passing_yds_allowed']
) / opponent_weeks_played
prediction_receiving_yds = round(
player_receiving_yds_pct *
(player_avg_receiving_yds + opponent_avg_receiving_yds) / 2)
# calculate receiving tds
player_avg_receiving_tds = float(
total_player_stats['receiving_tds']) / weeks_played
player_receiving_tds_pct = float(
total_player_stats['receiving_tds']
) / total_team_stats[
'passing_tds'] # percentage of total tds the player contributes
opponent_avg_receiving_tds = float(
total_opponent_stats['passing_tds_allowed']
) / opponent_weeks_played
prediction_receiving_tds = round(
player_receiving_tds_pct *
(player_avg_receiving_tds + opponent_avg_receiving_tds) / 2)
# percentages are generally very low for good players
if (prediction_receiving_tds == 0 and player_receiving_tds_pct > .25
) or weeks_played - player_avg_receiving_tds < 4:
prediction_receiving_tds += 1
# calculate total points
prediction_total_points = prediction_receiving_yds * .1 + prediction_receiving_tds * 6
# return predictions
return {
'receiving_yds': prediction_receiving_yds,
'receiving_tds': prediction_receiving_tds,
'points': prediction_total_points
}
else:
return