What is a Fair Trade?

A fair trade is when both teams essentially win and both get what they want out of the deal.  Sometimes it's hard to figure out a fair trade because it is hard to evaluate player worth. That is where we come in.

We try to provide an unbiased opinion by assigning each player a player rating, often refered to as their FSP rating. We analyze dozens of categories, expected projections, expert rankings, injury status, and lots more. We tally all of that up and come up with their rating.

Now that we understand where the ratings come from, let's make sure a trade is fair.

To ensure a fair trade, try to make sure that both sides of a trade have as close of a total number as possible.

Ideally there should only be a few points difference between each side of the trade. If there is a 5x5 trade, then that number could be higher and hit 10 or 15 total points.  If there are fewer players in the trade, such as a 2x2, then that number should be closer to 5 or less.

That is where the baseline is and what league owners and commissioner should strive for. 

Trade Impact

We offer an additional analysis of a trade for paying members which shows their team ratings, current roster, positional ratings, projections, and the affects of the trade on their projection.

 

On paper, this looks like a fair trade. The ratings between the two players are close. Each team is getting a solid player and will improve either their hitting or their pitching.

However, look a bit closer. Notice the ratings and rankings for each team? One team is ranked 1st in the league and the other team is ranked 13th.

This trade is fair, but the teams involved in the trade are vastly different. Why would a last place team trade with the first place team? Is it a dynasty league? Will the first place team become too good and plug a hole in their hitting by giving up a pitcher they really don't need?

These are all questions that fantasy owners should look at and then vote on before accepting any trade. Use FantasySP as an unibased way to evaluate trades for your league.

This example just so happens to be baseball, but the same logic and functionality applies to all types of leagues.