• These projections assume Tua Tagovailoa will play and not be materially limited.
  • Tyreek Hill has the most positive leverage for the CPT spot, with Joe Mixon looking like the best value in the FLEX position among the highest salaried players.
Estimated reading time: 5 minutes

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The biggest wrinkle of the Showdown format is the ability to choose one captain (CPT), who costs and is scored at 1.5 times the standard values. The CPT designation opens up another layer of strategy while exponentially increasing the number of possible lineup combinations, which is important for reducing duplicate winners and split prizes. I wrote a primer on playing this format, with details on historical positional trends and salary usage.

This season, I’m going to analyze all of the NFL’s “island” games (TNF, SNF and MNF) and playoff matchups, utilizing PFF’s weekly projections, current betting lines and millions of simulated historical combinations to identify the best and worst values for an upcoming matchup.

There are five main components to this Showdown slate analysis that you’ll find below:

  • A breakdown of methodology and the most similar historical matchup to this game: 2014 Week 7: Baltimore RavensAtlanta Falcons, with Joe Flacco as Joe Burrow and Matt Ryan playing the role of Tua Tagovailoa.
  • Optimal lineup allocations (CPT and total roster) for both teams based on the results of similar historical matchups.
  • Comparison of player ownership projections for FLEX and CPT produced by a model trained on 2018-2022 Showdown contest results to optimal allocations.
  • Recent CPT ownership trends illustrated for both starting lineups.
  • A table showing the most common players on optimal lineups for each player. This allows you to see which other players are commonly found on the same optimal lineups as a player you’re interested in rostering.


To analyze this specific Showdown slate, I looked through thousands of NFL matchups from 2014 to 2022 and found the closest analogies to this contest according to the following parameters: betting spread, over/under and average fantasy points scoring for the top-ranked positional players of both rosters (QB1, RB1, WR1, TE1).

I won’t detail every matchup that falls into the top 100 for this game, but for illustration purposes, let’s look at the most similar matchup:

Historical Current
Player Pos Team Player Pos Team
Joe Flacco QB BLT Joe Burrow QB CIN
Justin Forsett RB BLT Joe Mixon RB CIN
Steve Smith WR BLT Ja’Marr Chase WR CIN
Owen Daniels TE BLT Hayden Hurst TE CIN
Matt Ryan QB ATL Tua Tagovailoa QB MIA
Antone Smith RB ATL Chase Edmonds RB MIA
Julio Jones WR ATL Tyreek Hill WR MIA
Levine Toilolo TE ATL Mike Gesicki TE MIA

The spread and over/under are similar in these matchups (Ravens -6.5, 49.5 O/U versus this matchup at Bengals -3.5, 47 O/U). All the players aren’t perfect matches, but that’s why we use 100 similar matchups and not just the single most similar.

The optimal roster for that historical matchup, assuming positional salaries equaled what they are for this showdown slate, would have been:

Player Team Position Roster Position Fantasy Pts
Roddy White ATL WR CPT 28.0
Owen Daniels BLT TE FLEX 17.8
Torrey Smith BLT WR FLEX 17.1
Joe Flacco BLT QB FLEX 16.7
Matt Ryan ATL QB FLEX 13.8
Devonta Freeman ATL RB FLEX 8.7

For this game and 99 other similar matchups, I calculated every possible combination that fits with Showdown rules (one CPT, at least one offensive player from each team) and would fall under the $50K salary threshold, assuming the salaries for the historical similar matchups are the same as those for this contest.


The most unique part of the format, and therefore the biggest opportunity for a competitive advantage, is choosing your CPT. Should you always choose a QB who typically has the highest absolute fantasy scoring? Are defenses and kickers viable options? RB versus WR?

I went through the millions of possible lineup combinations for the 100 most similar matchups and found who the CPT selections were on the top five scoring lineups for each matchup. Here are the 500 CPT choices from those matchups by position rank according to salary.


This graph illustrates the full range of allocations for the different positions to measure how many of the 500 optimal rosters had exactly zero, one or two of the given positions.


The boxplot above shows the ranges for CPT ownership for each starting player in contests since 2019.

Projected ownership versus optimal

This is where the analysis comes together and becomes actionable. What’s most important when viewing these numbers is to contrast them to the optimal numbers taken from the analysis above for different positions. Then we see where the leverage may exist.

The two tables below compare the optimal allocations above, with adjustments for the personnel of this particular matchup, to our ownership projections for CPT and FLEX.



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