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Added aggression factor, aggression freq and Overall Cont. bet.

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At the moment the agrression based equations are not correct yet due to
missing stat info...
Missing stat code is mentioned in comment.
using saw_x as an indication....
This commit is contained in:
Gerko de Roo 2010-06-09 20:28:15 +02:00
parent b855b53918
commit 4d4dafee8f
1 changed files with 84 additions and 0 deletions
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84
pyfpdb/Stats.py
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@ -503,6 +503,90 @@ def a_freq_123(stat_dict, player):
'(%d/%d)' % (0, 0), '(%d/%d)' % (0, 0),
'Post-Flop Aggression Freq' 'Post-Flop Aggression Freq'
) )
def agg_freq(stat_dict, player):
""" Post-Flop aggression frequency."""
""" Aggression frequency % = (times bet or raised post-flop) * 100 / (times bet, raised, called, or folded post-flop) """
stat = 0.0
try:
""" Agression on the flop and all streets """
bet_raise = stat_dict[player]['aggr_1'] + stat_dict[player]['aggr_2'] + stat_dict[player]['aggr_3'] + stat_dict[player]['aggr_4']
""" number post flop streets seen, this must be number of post-flop calls !! """
post_saw = stat_dict[player]['saw_2'] + stat_dict[player]['saw_3'] + stat_dict[player]['saw_4']
""" Number of post flop folds this info is not yet in the database """
post_fold = stat_dict[player]['f_freq_2'] + stat_dict[player]['f_freq_3'] + stat_dict[player]['f_freq_4']
stat = float (bet_raise) / float(post_saw + post_fold)
return (stat,
'%3.1f' % (100*stat) + '%',
'afr=%3.1f' % (100*stat) + '%',
'agg_fr=%3.1f' % (100*stat) + '%',
'(%d/%d)' % (bet_raise, (post_saw + post_fold)),
'Aggression Freq'
)
except:
return (stat,
'%2.1f' % (0) + '%',
'af=%3.1f' % (0) + '%',
'agg_f=%3.1f' % (0) + '%',
'(%d/%d)' % (0, 0),
'Aggression Freq'
)
def agg_fact(stat_dict, player):
""" Post-Flop aggression frequency."""
""" Aggression factor = (times bet or raised post-flop) / (times called post-flop) """
""" Times called post flop is not availlable, streets seen used """
stat = 0.0
try:
bet_raise = stat_dict[player]['aggr_2'] + stat_dict[player]['aggr_3'] + stat_dict[player]['aggr_4']
post_saw = stat_dict[player]['saw_2'] + stat_dict[player]['saw_3'] + stat_dict[player]['saw_4']
stat = float (bet_raise) / float(post_saw-bet_raise)
return (stat,
'%2.1f' % (stat) ,
'afa=%2.1f' % (stat) ,
'agg_fa=%2.1f' % (stat) ,
'(%d/%d)' % (bet_raise, post_saw-bet_raise),
'Aggression Factor'
)
except:
return (stat,
'%2.1f' % (0) ,
'afa=%2.1f' % (0) ,
'agg_fa=%2.1f' % (0),
'(%d/%d)' % (0, 0),
'Aggression Factor'
)
def cbet(stat_dict, player):
""" Flop continuation bet."""
""" Continuation bet % = (times made a continuation bet on the flop) * 100 / (number of opportunities to make a continuation bet on the flop) """
stat = 0.0
try:
cbets = stat_dict[player]['cb_1']+stat_dict[player]['cb_2']+stat_dict[player]['cb_3']+stat_dict[player]['cb_4']
oppt = stat_dict[player]['cb_opp_1']+stat_dict[player]['cb_opp_2']+stat_dict[player]['cb_opp_3']+stat_dict[player]['cb_opp_4']
stat = float(cbets)/float(oppt)
return (stat,
'%3.1f' % (100*stat) + '%',
'cbet=%3.1f' % (100*stat) + '%',
'cbet=%3.1f' % (100*stat) + '%',
'(%d/%d)' % (cbets, oppt),
'% continuation bet '
)
except:
return (stat,
'%3.1f' % (0) + '%',
'cbet=%3.1f' % (0) + '%',
'cbet=%3.1f' % (0) + '%',
'(%d/%d)' % (0, 0),
'% continuation bet '
)
def cb1(stat_dict, player): def cb1(stat_dict, player):
""" Flop continuation bet.""" """ Flop continuation bet."""