Optimal First-Round Strategy for NFFC Playoff Contests

A simulation-based look at which players matter most under the multiplier format.

Dan Hindery's Optimal First-Round Strategy for NFFC Playoff Contests Dan Hindery Published 01/07/2026

The NFFC Playoff Hold 'Em is a different kind of fantasy contest. It's not just about who scores the most points this week. It's about committing to the right players early and letting the scoring multiplier do the work as the playoffs unfold.

To help cut through the noise, I ran thousands of playoff simulations and asked a very specific question:
Which players most often turn out to be optimal Week 1 roster choices once the entire postseason plays out?

Below are the results of those optimization runs. I'll start by looking at the players who most often showed up in optimal Week 1 rosters, grouped by position. After that, I'll walk through each playoff team and highlight the best Round 1 options on a team-by-team basis.

Teams are ordered by power rating (based on PowerRankings.com), since advancing deeper into the playoffs is the single biggest driver of value in this format.

If you're mostly here for actionable takeaways, the position and team sections will get you what you need. If you want to dig into how the simulation works and what went into it, I've included a full explanation at the end.

© David Butler II-Imagn Images NFFC

Positional Breakdown

Quarterback

Player Team Position Opto
Drake Maye NE QB 37.1%
Trevor Lawrence Jac QB 36.7%
Bo Nix Den QB 29.0%
Josh Allen Buf QB 24.2%
C.J. Stroud Hou QB 17.0%
Justin Herbert LAC QB 13.9%
Matthew Stafford LAR QB 10.6%
Jalen Hurts Phi QB 9.6%
Brock Purdy SF QB 8.8%
Jordan Love GB QB 6.0%
Sam Darnold Sea QB 3.9%
Caleb Williams Chi QB 2.9%
Aaron Rodgers Pit QB 0.3%
Bryce Young Car QB 0.1%

The first big takeaway for me was a bit surprising: the quarterbacks on some of the teams with the best odds of making a deep run did not sim out as well as I expected. In particular, Matthew Stafford, Sam Darnold, and Jalen Hurts graded out as worse bets to be strong Week 1 plays than I would have anticipated. On the other hand, it does make sense that quarterbacks who really spread the ball around to a number of different receivers (the top four in the optimals) might be better plays than the quarterbacks with narrow target trees and elite WR1s, given that the gap between quarterback and wide receiver fantasy points is larger.

Running Back

Player Team Position Opto
Christian McCaffrey SF RB 70.88%
James Cook Buf RB 55.06%
RJ Harvey Den RB 38.88%
Josh Jacobs GB RB 37.10%
D'Andre Swift Chi RB 35.84%
Travis Etienne Jr. Jac RB 26.20%
Saquon Barkley Phi RB 24.98%
Omarion Hampton LAC RB 21.26%
Jaylen Warren Pit RB 14.84%
Rhamondre Stevenson NE RB 13.04%
TreVeyon Henderson NE RB 12.56%
Kenneth Gainwell Pit RB 8.42%
Woody Marks Hou RB 5.50%
Kyren Williams LAR RB 4.08%
Ken Walker III Sea RB 2.90%
Zach Charbonnet Sea RB 2.64%
Rico Dowdle Car RB 1.96%
Kyle Monangai Chi RB 1.90%

Unsurprisingly, true workhorse RB1s sim out much better than backs stuck in committees. I also suspect that the lack of concentrated targets in the passing game plays a role here. For example, Buffalo doesn't have a pass catcher who is likely to string together multiple big games in a row, which only adds to the appeal of James Cook.

Wide Receiver

Player Team Position Opto
Puka Nacua LAR WR 83.72%
Jaxon Smith-Njigba Sea WR 72.98%
Nico Collins Hou WR 59.96%
A.J. Brown Phi WR 40.30%
Christian Watson GB WR 39.16%
Courtland Sutton Den WR 26.40%
Quentin Johnston LAC WR 9.94%
DK Metcalf Pit WR 8.56%
Tetairoa McMillan Car WR 7.72%
Luther Burden III Chi WR 7.58%
Stefon Diggs NE WR 6.24%
DeVonta Smith Phi WR 4.74%
Jauan Jennings SF WR 3.92%
Ladd McConkey LAC WR 3.64%
Romeo Doubs GB WR 3.40%
Parker Washington Jac WR 3.32%
DJ Moore Chi WR 2.76%
Troy Franklin Den WR 2.16%
Jakobi Meyers Jac WR 2.16%
Jalen Coker Car WR 1.76%
Davante Adams LAR WR 1.54%
Brian Thomas Jr. Jac WR 1.44%
Kayshon Boutte NE WR 0.40%
Jayden Reed GB WR 0.14%
Khalil Shakir Buf WR 0.04%
Rome Odunze Chi WR 0.02%

The top wide receiver plays are largely what you would expect. What stood out was the size of the gap in optimal percentage between some WR1s and other wide receivers on the same teams, particularly how much more often Puka Nacua simmed out as the top Rams option compared to Davante Adams. That gap reflects both the compounding difficulty of Adams outproducing Nacua across multiple games and the small amount of health-related risk baked into Adams' projection.

Tight End

Player Team Position Opto
George Kittle SF TE 11.00%
Dallas Goedert Phi TE 7.16%
Colston Loveland Chi TE 3.62%
Dalton Schultz Hou TE 2.86%
Hunter Henry NE TE 1.46%
Dalton Kincaid Buf TE 0.50%

With wide receiver and tight end combined into a single position, you do not need to roster any tight ends. In fact, a tight end appeared in our optimal sim for Week 1 just 27% of the time.

Kicker

Player Team Position Opto
Cameron Dicker LAC PK 25.98%
Andy Borregales NE PK 11.80%
Cam Little Jac PK 11.18%
Ka'imi Fairbairn Hou PK 10.88%
Jason Myers Sea PK 9.20%
Cairo Santos Chi PK 8.10%
Chris Boswell Pit PK 6.20%
Ryan Fitzgerald Car PK 5.84%
Brandon McManus GB PK 4.90%
Wil Lutz Den PK 2.24%
Eddy Piñeiro SF PK 1.68%
Jake Elliott Phi PK 1.26%
Matt Prater Buf PK 0.70%
Harrison Mevis LAR PK 0.04%

Defense

Player Team Position Opto
Carolina Panthers Car TD 24.58%
Pittsburgh Steelers Pit TD 16.34%
Chicago Bears Chi TD 14.42%
Los Angeles Chargers LAC TD 9.00%
Jacksonville Jaguars Jac TD 8.80%
Seattle Seahawks Sea TD 8.14%
Buffalo Bills Buf TD 7.16%
New England Patriots NE TD 3.96%
Philadelphia Eagles Phi TD 3.82%
Houston Texans Hou TD 1.96%
Denver Broncos Den TD 1.32%
San Francisco 49ers SF TD 0.50%
Los Angeles Rams LAR TD 0.00%

Team-By-Team Breakdown

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