Ever wondered what the odds were that a certain player will last to your next pick? We can help you out with that.

NOTE: The Google Doc associated with this article was updated August 17th to reflect fluctuations in ADP. I kept David Wilson on it, but replaced his ADP with a sad face. I'd recommend using that for best info. Click here to access that.

Can you smell that? That is the pungent aroma of fantasy draft season sneaking around the corner. Air molecules succumb to the smell of spilled adult beverages and rotting nachos, and it couldn't possibly be better.

The problem is that the only reason those odors are emanating throughout the room is that your lame-o brother-in-law, Steve, sniped your big sleeper running back in the sixth round. You proceeded to slam your fist into the folding table, catapulting your drink into Steve's smug grill and dumping your nachos on the ground. You lose.

The catch here is that you could have avoided this situation completely. In the June edition of Jonathan Bales's RotoAcademy, I wrote about how you can use game theory to try to maximize the potential points of your team. Let me try to summarize this quickly.

Basically, there are three players you can draft: Best, Okay, and Meh (incredibly convenient last names). Best has the greatest value in your mind with Okay being second, and Meh being a last resort. However, Okay has a lower ADP than Best. So, you have a dilemma: should you take Okay first with the hopes that Best will fall to your next pick? Or should you go with Best and settle for Meh in the next round?

Obviously, the best-case scenario here is that you take Okay with your first pick and hope Best is there next time around. However, how can you know whether or not he'll be there? Odds are extremely difficult to calculate on the fly, and you don't have time to do so in most drafts. So, I have made charts to try to help ease that pain.

Using data from Fantasy Football Calculator, it's pretty simple to create odds that a certain player will be available at a certain pick. They list both the player's average draft position (ADP) and the standard deviation of his ADP. It's a fantasy football dweeb's dream come true.

Below, you'll find charts of each of the top 50 running backs according to their ADP from July 27th to July 29th in 12-team, non-PPR leagues. Obviously, I couldn't fit all of the players into one chart because that would be a hella wide chart, so it's broken up into groupings of 10. This means you have to pay special attention to the rows and to which pick they correspond.

Now, if you don't want to read it in that format, you can also check out this Google Doc I made that has all of the players and their respective probabilities at each pick. I'd probably recommend that because it has everything, even thought the charts below are prettier. As we go along, I'll try to update that Google Doc to reflect any changes in ADP until the start of the season.

The obvious shortcoming of this is that every draft is different. If you're drafting in the great state of Wisconsin, the odds that Eddie Lacy is available at the fifth overall pick are probably lower than 73.98 percent. Also, there's obviously a huge variation of where a player will go based on the players selected before him. I'm not saying this will be able to accurately predict when you should and should not draft a certain player. I more just want to paint you a picture of where these guys are going right now.

Next week, I'll expand this and have posts about wide receivers and quarterbacks as well. Hopefully using these charts can help you lower the odds you get sniped. Consequentially, I also hope it helps you not waste valuable liquid on some degenerate named Steve. Ain't nobody want that.

Player 5th 10th 15th 20th 25th LeSean McCoy 0.03% 0.00% 0.00% 0.00% 0.00% Jamaal Charles 0.55% 0.00% 0.00% 0.00% 0.00% Adrian Peterson 8.31% 0.00% 0.00% 0.00% 0.00% Matt Forte 26.23% 0.00% 0.00% 0.00% 0.00% Eddie Lacy 73.98% 0.17% 0.00% 0.00% 0.00% Marshawn Lynch 93.69% 52.35% 7.90% 0.20% 0.00% Montee Ball 97.31% 55.68% 5.02% 0.03% 0.00% Arian Foster 99.12% 79.17% 22.66% 1.04% 0.01% DeMarco Murray 99.93% 94.30% 48.71% 5.00% 0.06% LeVeon Bell 99.97% 97.38% 66.43% 13.77% 0.46%

Player 15th 20th 25th 30th 35th 40th 45th Giovani Bernard 89.56% 43.19% 5.48% 0.12% 0.00% 0.00% 0.00% Alfred Morris 94.33% 57.71% 11.62% 0.49% 0.00% 0.00% 0.00% Doug Martin 97.72% 80.61% 39.25% 7.94% 0.55% 0.01% 0.00% Zac Stacy 99.88% 96.66% 73.98% 29.20% 4.11% 0.17% 0.00% Andre Ellington 99.99% 99.40% 89.08% 47.96% 9.12% 0.45% 0.00% C.J. Spiller 100.00% 99.79% 95.22% 68.30% 23.75% 2.84% 0.10% Reggie Bush 100.00% 99.83% 96.37% 74.51% 31.66% 5.33% 0.30% Toby Gerhart 100.00% 99.98% 99.18% 90.13% 57.06% 17.53% 2.05% Ryan Mathews 100.00% 100.00% 99.81% 97.13% 81.59% 46.02% 13.57% Bishop Sankey 100.00% 100.00% 99.91% 98.50% 89.00% 61.14% 25.45%

Player 40th 45th 50th 55th 60th 65th 70th 75th Frank Gore 77.01% 50.58% 23.88% 7.57% 1.54% 0.20% 0.02% 0.00% Shane Vereen 81.17% 56.33% 28.60% 9.86% 2.20% 0.31% 0.03% 0.00% Rashad Jennings 84.79% 63.40% 36.60% 15.21% 4.34% 0.83% 0.10% 0.01% Chris Johnson 93.84% 80.16% 56.07% 29.40% 10.82% 2.68% 0.43% 0.05% Trent Richardson 97.30% 88.32% 67.58% 39.00% 15.51% 4.01% 0.65% 0.06% Ben Tate 99.26% 95.84% 84.81% 62.70% 35.19% 13.91% 3.68% 0.63% Ray Rice 99.40% 96.70% 87.74% 68.67% 42.50% 19.36% 6.17% 1.33% Joique Bell 99.89% 98.97% 94.15% 79.41% 52.97% 25.09% 7.81% 1.52% Stevan Ridley 99.99% 99.86% 98.74% 93.22% 77.22% 50.00% 22.78% 6.78% Steven Jackson 99.99% 99.85% 99.02% 95.47% 85.34% 65.92% 40.87% 19.17%

Player 65th 70th 75th 80th 85th 95th 100th 105th Pierre Thomas 82.03% 62.61% 39.21% 19.24% 7.16% 0.40% 0.06% 0.01% Lamar Miller 84.13% 67.16% 45.58% 25.25% 11.08% 0.98% 0.19% 0.03% Maurice Jones-Drew 93.62% 82.69% 64.08% 41.26% 21.12% 2.47% 0.54% 0.09% Darren Sproles 94.04% 84.89% 69.33% 49.16% 29.21% 5.48% 1.67% 0.40% Terrance West 97.78% 92.89% 82.22% 64.82% 43.52% 10.56% 3.64% 0.97% Bernard Pierce 99.70% 98.60% 95.04% 86.41% 70.87% 29.13% 13.59% 4.96% Danny Woodhead 99.82% 99.20% 97.11% 91.74% 80.99% 44.32% 25.69% 12.24% Darren McFadden 99.85% 99.29% 97.37% 92.26% 81.79% 45.08% 26.14% 12.41% Fred Jackson 99.96% 99.78% 99.04% 96.70% 90.88% 62.67% 42.79% 24.61% Knowshon Moreno 99.48% 98.53% 96.35% 92.04% 84.69% 60.02% 44.80% 30.31%