def summarize_team(sims):
    """
    Calculate summary stats on one set of teams.
    """
    totals = sims.sum(axis=1)
    # note: dropping count, min, max since those aren't that useful
    stats = (totals.describe(percentiles=[.05, .25, .5, .75, .95])
            [['mean', 'std', '5%', '25%', '50%', '75%', '95%']].to_dict())

    # maybe share of points by each pos? commented out now but could look if
    # interesting

    # stats['qb'] = sims.iloc[:,0].mean()
    # stats['rb'] = sims.iloc[:,1:3].sum(axis=1).mean()
    # stats['flex'] = sims.iloc[:,3].mean()
    # stats['wr'] = sims.iloc[:,4:6].sum(axis=1).mean()
    # stats['te'] = sims.iloc[:,6].mean()
    # stats['k'] = sims.iloc[:,7].mean()
    # stats['dst'] = sims.iloc[:,8].mean()

    return stats