![]() Players in the next quarter have a mere streak of 50-250 losses (or, rarely, a single win out of >1,000 games). Players in the bottom quarter have all played 250 games without a win. What separates the two bottom quarters is the size of their track record of failure. There are virtually no wins in the bottom half. One interesting thing to note is that the players in the bottom quarter here are actually not likely to be newbs in the literal sense. index ) else : #ax.set_xticks() y0, y1 = ax. XL' if transpose else skill_label ) if transpose : ax. set_ylabel ( skill_label if transpose else 'avg. plot ( x, y, marker = '.', linestyle = '-', label = label ) skill_label = ' level'. loc # skill level, XL (the natural ordering) x, y = prog. subplots ( figsize = FS ) for quant, label in zip ( ppq. dropna ( axis = 1 ) # Drop null columns (= skill levels for which we have no data) if ax is None : fig, ax = plt. apply ( skill_progression, skill = skill, max_level = max_skill )\ isin ( bgs )) ] ppq = progression_per_quantile = relevant_games\ ![]() argmax () max_skill = min ( max_skill, am ) #max_skill = 10 relevant_games = g. all (): raise Exception ( "Not enough games" ) first_bigenough = toosmall. any (): # idquitek what's going on here if toosmall. size () toosmall = ( games_per_lvl < min_games ) if toosmall. isin ( qg )] games_per_lvl = sk = skill )
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