I use the Trust Tracker to publicly track the usefulness – or lack thereof – of the recommendations I made in my most recent Daily Games Cheat Sheet article.

For a more detailed introduction, check out my first and second posts here and here.

Players are measured according to their p/K (points per thousand dollars spent). Depending on their p/K and the approximate number of points needed to win a 50-50 league that night, players are rated as either "helpful", "competitive", or "harmful".

On a normal night with a full slate of games (roughly 10 or more), you will need to score between 240 - 250 points to win a 50-50 league. On those nights, a p/K of 4.8 or higher is helpful, a p/K between 4.0-4.8 will keep a roster competitive, and a p/K below 3.5 is harmful.

While there is always variation from contest to contest, the scores required to win each one on any given night are usually very closely grouped, regardless of entry cost. Last time I wrote the Daily Games Cheat Sheet, Thursday, December 25, the scores required to win most contests were within the benchmark 240-250 range.

In my Christmas Day article, I recommended 11 players for use:

• Seven players (64% of those recommended) recorded p/K values above 4.8.
• Four players (36%) recorded p/K values above 7.2, placing them among the top 10 performers overall.
• One player (9%) recorded a p/K value between 4-4.8.
• Three players (27%) recorded p/K values below 3.5.
• The best recommendation was Jason Adams, who recorded a p/K of 10.6. He registered the highest p/K in the league Thursday night. I also recommended Chris Andersen, whose 9.8 p/K was the 2nd highest.
• The worst recommendation was Shawn Marion. Marion entered the game riding a bit of a hot streak, averaging 21.7 minutes and 10 points shooting a combined 14-19 from the field over his previous three games. Marion went cold on Christmas, however, shooting only 1-5 and totaling only 9.75 fantasy points for a p/K value of 3.0.

Overall, 73 percent of my recommendations were of competitive value or better, 64 percent were actively helpful, and 27 percent were damaging.

Since only two of the players I recommended cost more than the per-roster spot average, I needed to include at least one player not mentioned on the team that I entered Thursday on DraftKings (I chose LeBron James, whose 46 points corresponded to 3.9 p/K; there was a reason I did not include him in the article). The rest of the roster was built using only players highlighted in my Thursday article. I tallied 238.5 points for an overall p/K of 4.8.

Season total

Through 15 articles this season, I have recommended 184 players for use.

• 102 have been helpful (55%)
• 134 have been competitive or better (73%)
• 38 have been harmful (21%)