TODO

o Technical
  o Handle different keys for team names, such as JAX/JAC and SD/LAC
  o Double-check that csv file has the right data (week, team names, scores)


o Data
  o Historical odds at game time (ESPN's are frozen early in the week)
  o Create strip_stats database


o Strategy
  o Record historical error values with respect to popular confidence in each game. Important to measure accuracy of crowd and identify what biases cause the crowd to be wrong

    Math:
    
      confidence (c: -1.0 to 1.0, negative value menas home team is favorite):
        p = home team popularity (0.0 to 1.0, > .5 means home team is favorite)
        c = 2(0.5 - p)

      accuracy (a: accuracy of spread, negative value means home team was overrated)
        s = spread
        m = margin of victory (away team score - home team score)
        a = s - m

      rightness (r: positive values = right, negative values = wrong):
        r = -ca

      | popularity |(confidence)| away score | home score | (mov) | spread |(accuracy)|(rightness)| 
      |    0.150   |   +0.700   |     20     |     10     |  +10  |   -5   |    -15   |   +10.50  |
      |    0.800   |   -0.600   |     10     |     20     |  -10  |   -5   |     +5   |    +3.00  | 
      |    0.520   |   -0.040   |     16     |     20     |   -4  |   -5   |     -1   |    -0.04  |
      |    0.520   |   -0.040   |     15     |     20     |   -5  |   -5   |      0   |     0.00  |

  o Identify biases
    o Persistent biases (like home underdogs and other stats where people notoriously miscalculate their importance)
    o Temporary biases (maybe like hating on a team for some reason)
    o Last week bias (check if/how much people tend to overestimate teams that won in previous week(s) and/or underestimate teams that lost in previous week(s))
    o Streaks that cause people to miscalculate odds
  
  o Take close look at home underdog games since oddsmakers deliberately place the "wrong" odds to improve their payout (they take advantage of known crowd bias in favor of away team)
  
  o Measure instantaneous rate at which people are choosing home vs. away. This is important to recognize when the market is moving in one direction, possibly due to new information

  o Change weight of games with anomolous events like large turnover ratio, significant injuries, etc.

o Curiosities
  o Overall accuracy of crowd
    o Compared to 


Streaks
  Track:
    - win/loss streak (negative = losses)
    - instantaneous season record (wins/losses/ties)
    -