The Week 11 Fantasy Football Start/Sit Matchup Guide was curated by Senior Staff Nerd Steven Pintado using statistics from the Fantasy Points Data Suite. Whether you’re setting lineups for redraft, dynasty, or DFS, these stats highlight usage trends and defensive tendencies that go beyond the 2025 box score—giving you the inside info you need to win in Week 11!
The fantasy playoffs are where legends are made — and matchups matter more than ever.
Using advanced metrics like Man/Zone Win Rate, FPPG, Slot %, and 1st Read %, we’ve broken down which wide receivers have the most favorable & unfavorable schedules when your season is on the line. From elite WR1s in dream spots to sneaky flex plays against vulnerable secondaries, these insights will help you gain every edge heading into Weeks 15-17.
| Favorable (FPPG Allowed) | Unfavorable (FPPG Allowed) |
|---|---|
| 🟩 Packers | 🟥 Cardinals |
| 🟩 Vikings | 🟥 Chiefs |
| 🟩 Giants | 🟥 Rams |
| 🟩 Eagles | 🟥 Buccaneers |
| 🟩 Commanders | 🟥 Chargers |
Our first grouping is an obvious one — Fantasy Points Per Game (FPPG) allowed by opposing defenses. These teams face at least two of three matchups against defenses that rank inside the top or bottom eight in FPPG allowed to wide receivers.
Favorable Playoff Matchups
If you’re holding Justin Jefferson, you should feel great about his playoff stretch — he faces the Cowboys, Giants, and Lions. It’s the perfect buy-high opportunity given Jefferson’s relatively quiet recent fantasy production. Jordan Addison is also a strong buy-low candidate following last week’s dip.
The Eagles’ receivers, especially A.J. Brown, are another playoff highlight. Despite an inconsistent 2025 season, Brown and DeVonta Smith get the Raiders and Commanders before what could be a high-scoring Week 17 showdown with the Bills. That stretch screams fantasy league-winning potential.
Beyond those top names, the rest of this group is less inspiring. If Jayden Daniels returns, Terry McLaurin and Deebo Samuel could become interesting late-season upside plays — but that’s still a big maybe. Wan’Dale Robinson has quietly been a PPR machine and profiles as a reliable floor flex play during the fantasy playoffs.
The Packers’ receivers are trickier to evaluate, but we’ll touch more on that group later when we dig into their advanced matchup metrics.
Unfavorable Playoff Matchups
We start the tough side with Marvin Harrison Jr., who draws a difficult playoff path. While Week 17 vs. Cincinnati could be a smash spot, getting there might be a grind — the Texans and Falcons both rank among the stingiest secondaries for fantasy WRs.
Several other stars fall into this tough-matchup zone, including Rashee Rice, Puka Nacua, Davante Adams, Emeka Egbuka, and the Chargers’ trio of receivers. Rice’s matchups are tough, but his volume and first-read target share should keep him afloat — he faces defenses that allow a high 1st-read %, which works in his favor.
The Rams’ receivers get a great Week 15 start vs. the Lions, but tougher games against the Seahawks and Falcons follow. Don’t overreact to Nacua or Adams — both are matchup-proof enough to stay in your lineup.
The most concerning name in this group might be Emeka Egbuka. The Buccaneers’ offense faces three top-8 WR defenses in the Falcons, Panthers, and Dolphins. Those units limit first-read opportunities, which could force Tampa Bay to spread the ball around more, especially if Chris Godwin and Bucky Irving remain healthy and active down the stretch.
| Faces Defenses That Allow a High 1st Read % | Faces Defenses That Allow a Low 1st Read % |
|---|---|
| 🟩 Rashee Rice | 🟥 Zay Flowers |
| 🟩 Nico Collins | 🟥 Emeka Egbuka |
| 🟥 Ladd McConkey |
Another important advanced metric to consider is 1st Read %, which measures how often opposing defenses allow offenses to successfully target their primary read on a play. High 1st Read % defenses tend to give top receivers more consistent volume, while low 1st Read % units force quarterbacks to progress through multiple reads, often spreading targets around.
Players like Rashee Rice and Nico Collins project as reliable fantasy options down the stretch. Both receivers are set to face defenses that allow a high 1st Read %, which should keep their target shares and fantasy floors stable even in tougher matchups. Rice, in particular, benefits from Kansas City’s offensive design that prioritizes his involvement on quick-developing routes and first looks.
On the flip side, Emeka Egbuka faces several defenses that do not allow high first-read rates, which could limit his ceiling. The Buccaneers’ passing attack may need to distribute the ball more to secondary options like Chris Godwin or Bucky Irving in those playoff weeks.
Zay Flowers remains intriguing because Baltimore’s offense doesn’t have many trustworthy targets beyond him — meaning he’s likely to stay the focal point regardless of defensive tendencies.
Meanwhile, Ladd McConkey could see more modest playoff usage. The Chargers’ scheme doesn’t typically force targets to a single receiver, and against defenses that reduce first-read success, McConkey’s target upside could be capped even if his efficiency remains strong.
| Faces Defenses That Allow a High Slot % | Faces Defenses That Allow a Low Slot % |
|---|---|
| 🟩 Parker Washington | 🟥 Chimere Dike |
| 🟩 DeVonta Smith | 🟥 Khalil Shakir |
| 🟥 Calvin Austin III |
This section focuses on defenses that allow a high or low percentage of targets to opposing slot receivers — a key stat for identifying which players could see more or fewer opportunities in the fantasy playoffs.
Favorable Slot Matchups
Parker Washington has been playing at a high level with all the injuries in the Jaguars recevier room. Even with Jakobi Meyers arriving last week. He could be a pick up or cheap by low to grab that could be helpful in the playoffs.
Another slot receiver here is DeVonta Smith, who has looked increasingly comfortable in the Eagles’ offense over the past few weeks. His playoff matchups against the Commanders and Bills both feature secondaries that allow above-average slot target rates, giving Smith a legitimate chance for multiple spike weeks when it matters most.
Unfavorable Slot Matchups
On the flip side, there are a few receivers who could disappoint in flex or DFS lineups due to low slot target % defenses.
The biggest concern is Khalil Shakir — while he’s been a useful PPR option, his playoff schedule is brutal. The Patriots and Browns both rank among the league’s lowest in slot target rate allowed, and a Week 17 matchup with the Eagles adds another difficult test against a disciplined secondary. Shakir’s efficiency may keep him usable in deeper leagues, but his volume floor could dip at the worst time.
| Good vs Man Coverage | Good vs Zone Coverage | Poor vs Man Coverage | Poor vs Zone Coverage |
|---|---|---|---|
| 🟩 Demario Douglas | 🟩 Jaxon Smith-Njigba (JSN) | 🟥 DK Metcalf | 🟥 Christian Kirk |
| 🟩 Dyami Brown | 🟩 Nico Collins | 🟥 Marquise “Hollywood” Brown | |
| 🟩 Brian Thomas Jr. | 🟩 Quentin Johnston | ||
| 🟩 Matthew Golden | 🟩 Keenan Allen | ||
| 🟩 Romeo Doubs | |||
| 🟩 Stefon Diggs |
Our final advanced metric looks at defenses that run a high or low rate of man and zone coverage — and how those tendencies align with receivers who excel (or struggle) against each type. The players highlighted here have either a top-40 win rate vs coverage (indicating strength) or rank among the bottom-20 (indicating potential trouble).
Favorable Coverage Matchups
The Packers’ wide receivers are quietly one of the more intriguing playoff stacks. Not only do they have a solid overall schedule, but they’ll also face defenses that align well with their coverage strengths.
If you’re targeting a trade before the fantasy playoffs, Romeo Doubs makes the most sense as a high-upside flex option. His strong win rate against man coverage and expanding role give him steady weekly appeal when matchups tighten.
Similarly, the Chargers’ receivers should benefit down the stretch. Both Quentin Johnston and Keenan Allen perform best against zone-heavy defenses, and their playoff opponents (especially in Weeks 15–17) lean heavily on zone looks. If you’re looking to invest in this passing game, those two are the names to prioritize.
Unfavorable Coverage Matchups
On the other side, DK Metcalf appears as one of the more concerning names heading into the fantasy playoffs. Seattle draws at least two defenses that feature high zone coverage rates, and Metcalf’s win rate vs zone has been well below league average this season.
It’s not a panic situation, but it’s a data-driven reason to reassess trade value before the playoffs. A move like DK Metcalf for Romeo Doubs plus a running back could be a smart, balanced deal that nets you better weekly consistency and a friendlier playoff schedule.
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Below in each dropdown are the full Week 11 Team Stats powered by Fantasy Points Data Suite. Use these metrics to make informed Start/Sit decisions, place prop bets, or make DFS lineup calls.
| Team | Player | Week 11 Ranking | Confidence Meter % | FPPG | FPPG (Last 4 Weeks) | Touches/G | ATT (%) | Off. Snaps (%) | TGT (%) | i5 (%) | i20 (%) | EXP Run (%) | MTF/ATT | YACO/ATT | YBCO/ATT | XFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Jets | Breece Hall | Mid RB2 | 84% | 13.5 | 19.0 | 17.8 | 54 | 62 | 10.5 | 60.0 | 39.4 | 10.9 | 0.19 | 2.0 | 2.8 | 12.3 |
| Jets | Isaiah Davis | Low RB4 | 62% | 3.3 | 7.1 | 3.7 | 8 | 30 | 7.7 | 0.0 | 12.1 | 10.0 | 0.30 | 4.7 | 1.3 | 4.5 |
| Patriots | Rhamondre Stevenson** | High RB4 | 68% | 8.4 | 10.6 | 12.4 | 29 | 62 | 8.3 | 63.6 | 43.6 | 3.6 | 0.20 | 2.2 | 1.2 | 10.3 |
| Patriots | TreVeyon Henderson | High RB2 | 88% | 8.3 | 11.1 | 10.2 | 28 | 43 | 8.3 | 18.8 | 25.5 | 6.2 | 0.09 | 1.7 | 3.7 | 8.6 |
| Patriots | Terrell Jennings** | Low RB4 | 58% | 3.7 | 3.7 | 5.8 | 8 | 14 | 0.9 | 14.3 | 12.0 | — | 0.05 | 1.9 | 1.5 | 3.3 |
** Stevenson & Jennings uncertain as of Wednesday Morning – If Stevenson play (drop Henderson to a high RB3)
| Team | Player | Week 11 Ranking | Confidence Meter % | FPPG | FPPG (Last 4 Weeks) | Touches/G | ATT (%) | Off. Snaps (%) | TGT (%) | i5 (%) | i20 (%) | EXP Run (%) | MTF/ATT | YACO/ATT | YBCO/ATT | XFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Commanders | Jacory Croskey-Merritt | Mid RB3 | 74% | 7.7 | 3.5 | 11.3 | 38 | 44 | 4.0 | 27.3 | 26.2 | 4.8 | 0.11 | 2.6 | 1.9 | 7.7 |
| Commanders | Chris Rodriguez Jr.** | Outside Top 48 | 50% | 4.8 | 6.9 | 5.6 | 16 | 23 | 0.0 | 36.4 | 37.1 | 2.2 | 0.09 | 3.1 | 1.3 | 3.6 |
| Commanders | Jeremy McNichols | Low RB4 | 60% | 4.3 | 4.6 | 3.5 | 8 | 29 | 6.5 | 0.0 | 9.5 | 9.1 | 0.27 | 5.2 | 2.5 | 3.7 |
| Dolphins | De’Von Achane | High RB1 | 98% | 18.9 | 20.0 | 19.2 | 62 | 80 | 21.3 | 50.0 | 57.1 | 9.1 | 0.19 | 2.7 | 2.8 | 18.1 |
** Keep an eye on Rodriquez with his injury. Wouldn’t raise JCM if Rodriquez were to miss Week 11
| Team | Player | Week 11 Ranking | Confidence Meter % | FPPG | FPPG (Last 4 Weeks) | TGT/G | TGT (%) | TPRR | RTE/G | SLOT RTE (%) | INLINE RTE (%) | YAC | EZTGT | 1READ (%) | MAN WIN RATE | ZONE WIN RATE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chargers | Tyler Conklin | Outside Top 24 | 40% | 1.6 | 0.9 | 8.0 | 3.2 | 0.15 | 7.6 | 37.7 | 44.3 | 55.0 | 0.0 | 4.3 | 4.5 | 2.7 |
| Chargers | Oronde Gadsden II** | Mid TE1 | 91% | 9.3 | 13.6 | 1.9 | 14.3 | 0.20 | 26.8 | 45.8 | 36.4 | 174.0 | 4.0 | 15.7 | 17.9 | 7.9 |
| Jaguars | Brenton Strange** | Low TE2 | 60% | 6.1 | 0.0 | 4.8 | 14.2 | 0.22 | 22.0 | 38.2 | 42.7 | 107.0 | 0.0 | 14.1 | 19.0 | 2.4 |
| Jaguars | Hunter Long | Outside Top 24 | 30% | 3.4 | — | 2.1 | 5.5 | 0.15 | 13.5 | 24.1 | 53.7 | 34.0 | 2.0 | 4.8 | 0.0 | 2.6 |
** Gadsden is currently hurt – could miss Week 11. Conklin would not be a great replacement play.
** Brenton Strange IR window is open and it looks like he could be back in Week 11. If not Hunter Long is not much of an option.
| Team | Player | Week 11 Ranking | Confidence Meter % | FPPG | FPPG (Last 4 Weeks) | Touches/G | ATT (%) | Off. Snaps (%) | TGT (%) | i5 (%) | i20 (%) | EXP Run (%) | MTF/ATT | YACO/ATT | YBCO/ATT | XFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Buccaneers | Bucky Irving** | Mid RB2 | 82% | 15.6 | 0.0 | 22.5 | 32 | 71 | 13.7 | 0.0 | 63.6 | 2.8 | 0.14 | 1.9 | 1.4 | 16.8 |
| Buccaneers | Rachaad White | Mid RB2 | 85% | 9.2 | 7.1 | 12.6 | 39 | 55 | 9.0 | 70.0 | 44.8 | 1.1 | 0.14 | 1.7 | 2.0 | 11.7 |
| Buccaneers | Sean Tucker | High RB4 | 65% | 3.3 | 5.6 | 4.1 | 11 | 18 | 1.9 | 30.0 | 20.7 | 6.3 | 0.09 | 1.9 | 2.2 | 4.3 |
| Bills | James Cook | Mid RB1 | 94% | 17.0 | 18.3 | 20.4 | 60 | 60 | 7.4 | 31.8 | 52.8 | 5.4 | 0.19 | 2.9 | 2.7 | 14.6 |
| Bills | Ty Johnson | Mid RB4 | 62% | 2.4 | 4.4 | 2.7 | 6 | 28 | 3.7 | 4.5 | 5.7 | 5.6 | — | 2.7 | 1.4 | 3.3 |
**Irving has been seen practicing – could return in Week 11. I’d expect a split role with him and White. It would push Tucker Outside the top 48.
| Team | Player | Week 11 Ranking | Confidence Meter % | FPPG | FPPG (Last 4 Weeks) | TGT/G | TGT (%) | TPRR | RTE/G | SLOT RTE (%) | INLINE RTE (%) | YAC | EZTGT | 1READ (%) | MAN WIN RATE | ZONE WIN RATE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Buccaneers | Cade Otton | High TE2 | 77% | 6.0 | 9.6 | 5.4 | 15.1 | 0.18 | 29.3 | 50.8 | 31.8 | 202.0 | 0.0 | 12.8 | 7.0 | 1.7 |
| Bills | Dalton Kincaid** | Low TE1 | 80% | 10.3 | 8.9 | 4.3 | 14.8 | 0.27 | 16.6 | 54.1 | 21.8 | 203.0 | 3.0 | 17.4 | 18.2 | 8.8 |
| Bills | Dawson Knox | Outside Top 24 | 50% | 3.1 | 3.6 | 2.0 | 6.3 | 0.13 | 14.9 | 38.8 | 44.0 | 59.0 | 2.0 | 7.2 | 7.9 | 4.3 |
** did get hurt last week – if Kincaid were to miss time – Knox would have low TE2 value.
| Team | Player | Week 11 Rankings | Confidence Meter | FPPG | FPPG (Last 4 W) | TGT/G | TGT % | TPRR | R/G | Advantage Score | Primary Defender | Man Win Rate | Zone Win Rate | Slot Rte % | YAC | EZ TGT | 1st Read % |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Texans | Nico Collins | Mid WR1 | 94% | 11.7 | 11.6 | 9.0 | 25.2 | 0.28 | 31.5 | 1.22 🟢 | Jalyn Armour-Davis | 20.7 | 14.3 | 19.8 | 149.0 | 8.0 | 30.0 |
| Texans | Christian Kirk | Mid WR5 | 55% | 4.3 | 2.7 | 5.4 | 13.2 | 0.20 | 24.8 | 0.96 🟡 | Marcus Harris | 16.7 | 3.4 | 71.0 | 47.0 | 0.0 | 13.8 |
| Texans | Jayden Higgins | Outside Top 60 | 50% | 5.3 | 6.3 | 3.2 | 9.0 | 0.17 | 18.9 | 1.06 🟡 | Darrell Baker | 22.0 | 5.9 | 16.5 | 55.0 | 5.0 | 10.4 |
| Texans | Jaylin Noel | Outside Top 60 | 45% | 3.9 | 5.9 | 2.7 | 7.5 | 0.21 | 12.8 | — | — | 12.5 | 1.3 | 67.0 | 68.0 | 0.0 | 9.1 |
| Titans | Calvin Ridley** | Mid WR4 | 65% | 6.2 | 0.0 | 5.8 | 16.3 | 0.22 | 24.5 | — | — | 10.5 | 5.8 | 23.8 | 82.0 | 1.0 | 23.4 |
| Titans | Van Jefferson | Outside Top 60 | 30% | 2.6 | 3.3 | 2.9 | 8.8 | 0.16 | 17.9 | 0.70 🔴 | Derek Stingley | 30.0 | 4.8 | 9.3 | 48.0 | 1.0 | 9.2 |
| Titans | Chimere Duke | Mid WR5 | 55% | 4.2 | 11.6 | 3.7 | 10.5 | 0.18 | 19.1 | 0.86 🔴 | Jalen Pitre | 12.9 | 3.8 | 74.4 | 101.0 | 2.0 | 13.2 |
| Titans | Elic Ayomanor | Low WR5 | 53% | 6.4 | 5.7 | 5.9 | 17.3 | 0.19 | 29.4 | 0.84 🔴 | Kamari Lassiter | 24.0 | 8.4 | 17.7 | 88.0 | 3.0 | 23.0 |
** has the potential to return in Week 11. This would push all the Titans receievers down a tier.
| Team | Player | Week 11 Rankings | Confidence Meter | FPPG | FPPG (Last 4 W) | TGT/G | TGT % | TPRR | R/G | Advantage Score | Primary Defender | Man Win Rate | Zone Win Rate | Slot Rte % | YAC | EZ TGT | 1st Read % |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Packers | Matthew Golden* | Outside Top 60 | 50% | 5.2 | 3.2 | 3.5 | 11.6 | 0.17 | 21.8 | 0.92 🟡 | Andru Phillips | 26.9 | 2.8 | 44.3 | 86.0 | 2.0 | 14.8 |
| Packers | Romeo Doubs* | High WR3 | 78% | 9.8 | 7.9 | 6.2 | 19.6 | 0.23 | 26.8 | 1.14 🟡 | Cordale Flott | 26.9 | 11.7 | 17.4 | 101.0 | 7.0 | 24.9 |
| Packers | Christian Watson | High WR4 | 68% | 7.6 | 7.6 | 4.0 | 10.9 | 0.20 | 27.3 | 1.00 🟡 | Deonte Banks | 11.8 | 5.0 | 26.8 | 23.0 | 0.0 | 13.8 |
| Packers | Dontayvion Wicks | Outside Top 60 | 45% | 3.7 | 3.4 | 4.0 | 30.3 | 0.32 | 31.5 | — | — | 23.5 | 12.3 | 27.8 | 190.0 | 7.0 | 37.6 |
| Giants | Wan’Dale Robinson | Low WR3 | 72% | 9.9 | 9.3 | 7.9 | 23.5 | 0.22 | 33.9 | 0.93 🟡 | Javon Bullard | 17.4 | 3.1 | 71.1 | 302.0 | 3.0 | 28.3 |
| Giants | Darius Slayton | Mid WR4 | 64% | 5.5 | 7.7 | 4.3 | 12.5 | 0.14 | 29.4 | 0.83 🔴 | Keisean Nixon | 9.8 | 4.2 | 20.9 | 122.0 | 2.0 | 16.3 |
*Keep your eyes on the ptractice reports for injuries with Golden & Doubs. If they miss, it would push up Watson to WR3 & Wicks to WR5 value.
| Team | Player | Week 11 Ranking | Confidence Meter % | FPPG | FPPG (Last 4 Weeks) | TGT/G | TGT (%) | TPRR | RTE/G | SLOT RTE (%) | INLINE RTE (%) | YAC | EZTGT | 1READ (%) | MAN WIN RATE | ZONE WIN RATE |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 49ers | George Kittle | High TE1 | 95% | 9.3 | 9.0 | 4.8 | 15.4 | 0.21 | 23.2 | 34.5 | 56.0 | 63.0 | 1.0 | 18.4 | 18.2 | 2.3 |
| Cardinals | Trey McBride | High TE1 | 99% | 14.2 | 20.5 | 9.8 | 26.4 | 0.25 | 36.7 | 60.0 | 29.4 | 256.0 | 12.0 | 34.3 | 21.9 | 6.2 |
Elijah Higgins is a name to know with Marvin Harrison Jr. OUT!
| Team | Player | Week 11 Ranking | Confidence Meter % | FPPG | FPPG (Last 4 Weeks) | Touches/G | ATT (%) | Off. Snaps (%) | TGT (%) | i5 (%) | i20 (%) | EXP Run (%) | MTF/ATT | YACO/ATT | YBCO/ATT | XFP |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Chiefs | Isiah Pacheco** | Mid RB3 | 73% | 6.8 | 8.9 | 11.1 | 32 | 57 | 6.0 | 0.0 | 27.3 | 1.3 | 0.12 | 2.3 | 1.9 | 8.3 |
| Chiefs | Kareem Hunt | Mid RB3 | 73% | 8.5 | 10.2 | 9.1 | 30 | 40 | 3.2 | 69.2 | 35.8 | 1.4 | 0.10 | 2.2 | 1.8 | 7.5 |
| Chiefs | Brashard Smith | Outside Top 48 | 45% | 3.4 | 4.0 | 5.3 | 11 | 16 | 6.0 | 7.7 | 17.0 | — | 0.04 | 1.4 | 1.5 | 5.3 |
| Broncos | RJ Harvey | Low RB2 | 79% | 8.7 | 11.8 | 7.5 | 19 | 29 | 8.3 | 27.3 | 16.2 | 4.0 | 0.18 | 1.9 | 2.4 | 8.2 |
| Broncos | J.K. Dobbins** | High RB4 | 69% | 11.0 | 9.2 | 16.3 | 56 | 51 | 4.0 | 63.6 | 54.1 | 7.8 | 0.20 | 2.3 | 2.8 | 11.0 |
** Pacheco uncertain for week 11. Dobbins could land on the IR by Friday. Tyler Badie is a name to know.
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This glossary explains every advanced stat used in The Full Slate Week 111 Start/Sit Preview. Each abbreviation includes a definition so you can make sharper lineup calls.
Glossary of Statistical Terms | Week 11 Start/Sit Advanced Stats Matchup Guide
| Stat | Full Term | Fantasy Football Definition |
|---|---|---|
| ANY/A | Adjusted Net Yards per Attempt | QB efficiency metric factoring yards, TDs, INTs, and sacks. More accurate than yards per attempt. |
| Confidence Meter | Level of Confidence | Measures reliability of weekly fantasy projections. Higher = safer start/sit play. |
| ADOT | Average Depth of Target | Average air yards on a player’s targets. Higher ADOT = big-play role. |
| FPPG | Fantasy Points Per Game | Average fantasy points scored per week across positions. |
| YAC % | Yards After Catch Percentage | Share of a receiver’s yards that come after the catch. High YAC % = playmaking ability. |
| Total Yards/G | Total Yards per Game | Average rushing + passing yards per game. Useful for workload evaluation. |
| ADJ Comp % | Adjusted Completion Percentage | QB accuracy adjusted for drops, spikes, throwaways, batted passes, and pressure. |
| SCRM/G | Scrambles Per Game | Average QB scrambles per game. Adds rushing upside in fantasy scoring. |
| 1 Read % | First Read Throw Percentage | % of throws to the first read or designed one-read plays. Reflects QB decision-making. |
| TD/G | Touchdowns Per Game | Average number of TDs per game (passing, rushing, or receiving). |
| Press % | Pressure Rate | Percentage of QB dropbacks under pressure. Impacts passing efficiency. |
| FP/DB | Fantasy Points per Dropback | QB fantasy efficiency metric: points scored per dropback. |
| CHK % | Checkdown Percentage | How often a QB targets short checkdowns. Higher = conservative play. |
| CPOE | Completion Percentage Over Expectation | QB completion % compared to expected based on depth/coverage. Shows accuracy skill. |
| i20 % | Inside 20 Rushing Share | % of team rush attempts inside the 20. Strong red-zone usage indicator. |
| Touches/G | Touches Per Game | Average carries + receptions per game for RB/WR/TE. |
| EXP Run % | Explosive Run Percentage | % of runs that go for 15+ yards. Shows big-play ability. |
| ATT % | Team Carry Share | Percentage of team rushing attempts handled by the RB. |
| MTF/ATT | Missed Tackles Forced per Attempt | How often a RB forces missed tackles on carries. Shows elusiveness. |
| TGT % | Target Share | % of team passing attempts going to a player. High TGT % = featured role. |
| YACO/ATT | Yards After Contact per Attempt | Average rushing yards after first contact. Indicates power running. |
| i5 % | Inside 5 Rushing Share | % of team rush attempts inside the 5. Heavy TD upside indicator. |
| YBCO/ATT | Yards Before Contact per Attempt | Average rushing yards before contact. Reflects O-line run blocking. |
| Off. Snaps/G | Offensive Snaps Per Game | Average number of plays a player is on the field per week. |
| XFP/G | Expected Fantasy Points per Game | Usage-based stat estimating expected PPR fantasy points per week. |
| TGT/G | Targets Per Game | Average number of targets a player gets each week. |
| YAC | Yards After Catch | Total receiving yards gained after the catch. Key WR/TE stat. |
| EZ TGT | End Zone Targets | Passes thrown to a receiver in the end zone. Strong TD predictor. |
| RTE/G | Routes Run Per Game | Average number of pass routes a player runs weekly. |
| SLOT RTE % | Slot Route Rate | % of player’s routes from the slot alignment. Shows usage role. |
| TPRR | Targets Per Route Run | How often a player is targeted per route. Efficiency in earning targets. |
| Zone Win Rate | Win Rate vs Zone | Receiver success rate against zone coverage. |
| Catch % | Catch Rate | % of total targets successfully caught. Basic WR efficiency stat. |
| Man Win Rate | Win Rate vs Man | Receiver success rate against man-to-man coverage. |
Q1: How can Adjusted Completion Percentage (ADJ Comp %) help evaluate quarterbacks?
A: Adjusted Completion Percentage measures a QB’s true accuracy by filtering out drops, spikes, and throwaways. It’s especially useful for spotting passers performing better than box-score stats suggest—perfect for identifying sneaky Week 11 streamers.
Q2: Why is Targets Per Route Run (TPRR) so valuable for wide receivers?
A: TPRR shows how often a receiver earns a target when running a route, revealing who truly commands opportunities. High TPRR players often outperform ADP because their involvement stays steady even in low-volume offenses.
Q3: What does Explosive Run Percentage (EXP Run %) reveal about running backs?
A: EXP Run % tracks how many of a player’s carries go for 15 + yards. It highlights big-play ability and offensive line strength—ideal for differentiating between steady volume backs and true home-run hitters.
Q4: How do Man Win Rate and Zone Win Rate affect fantasy projections?
A: These metrics show how well receivers separate against different coverage types. High Man Win Rate signals strong one-on-one skills, while Zone Win Rate predicts reliable production versus soft zone defenses—crucial for weekly matchup calls.
Q5: What does Inside 5 Rushing Share (i5 %) tell us about touchdown upside?
A: i5 % measures how many team rushes inside the 5-yard line belong to one player. A high rate indicates goal-line dominance and strong TD potential, making it a key tiebreaker when choosing between similarly ranked running backs.
