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Stat Explorer
Sortable, filterable leaderboards across every tracked metric.
As-of weekAs of Week 3, 2023Point-in-time: aggregates Weeks 1–3 only. Uses no game after Week 3.
61 players · 5 metrics · click a column to sort
Stat leaders
61 players
Stat leaders
61 players
TeamBALGames3Opportunities32Snap share100%Target share0%Fantasy points (PPR)58Opportunity Score (proxy)·
TeamPHIGames3Opportunities31Snap share100%Target share0%Fantasy points (PPR)58Opportunity Score (proxy)·
TeamNYGGames3Opportunities24Snap share·Target share0%Fantasy points (PPR)39Opportunity Score (proxy)·
TeamCHIGames3Opportunities24Snap share100%Target share·Fantasy points (PPR)40Opportunity Score (proxy)·
TeamNOGames3Opportunities20Snap share·Target share5%Fantasy points (PPR)·Opportunity Score (proxy)0.16
TeamKCGames3Opportunities16Snap share·Target share0%Fantasy points (PPR)66Opportunity Score (proxy)·
TeamTBGames3Opportunities15Snap share100%Target share0%Fantasy points (PPR)44Opportunity Score (proxy)·
TeamCLEGames3Opportunities15Snap share98%Target share0%Fantasy points (PPR)53Opportunity Score (proxy)·
TeamJAXGames3Opportunities15Snap share98%Target share·Fantasy points (PPR)41Opportunity Score (proxy)·
TeamGBGames3Opportunities14Snap share97%Target share0%Fantasy points (PPR)68Opportunity Score (proxy)·
TeamATLGames3Opportunities14Snap share100%Target share2%Fantasy points (PPR)·Opportunity Score (proxy)0.10
TeamINDGames2Opportunities13Snap share·Target share·Fantasy points (PPR)39Opportunity Score (proxy)·
TeamLVGames3Opportunities12Snap share99%Target share0%Fantasy points (PPR)40Opportunity Score (proxy)·
TeamARIGames3Opportunities12Snap share100%Target share0%Fantasy points (PPR)43Opportunity Score (proxy)·
TeamBUFGames3Opportunities12Snap share·Target share0%Fantasy points (PPR)54Opportunity Score (proxy)·
TeamNEGames3Opportunities11Snap share100%Target share·Fantasy points (PPR)51Opportunity Score (proxy)·
TeamHOUGames3Opportunities11Snap share100%Target share1%Fantasy points (PPR)53Opportunity Score (proxy)0.09
TeamDALGames3Opportunities10Snap share·Target share0%Fantasy points (PPR)40Opportunity Score (proxy)·
TeamDETGames3Opportunities10Snap share100%Target share0%Fantasy points (PPR)55Opportunity Score (proxy)·
Zach WilsonQBOUTTeamNYJGames3Opportunities10Snap share98%Target share·Fantasy points (PPR)·Opportunity Score (proxy)·
TeamSFGames3Opportunities10Snap share97%Target share·Fantasy points (PPR)52Opportunity Score (proxy)·
Tua TagovailoaQBOUTTeamLARGames3Opportunities8Snap share100%Target share0%Fantasy points (PPR)40Opportunity Score (proxy)·
TeamSEAGames3Opportunities8Snap share100%Target share0%Fantasy points (PPR)48Opportunity Score (proxy)·
TeamMINGames3Opportunities·Snap share100%Target share0%Fantasy points (PPR)71Opportunity Score (proxy)·
Showing 5 of 56 metrics. Add more from the “Cuts, columns & filters” drawerMetrics rail. Universe = the union of every tracked metric’s leaderboard (top players per metric), merged into one row per player. Blank (·) = outside that metric’s leaders. Widening to the full roster needs a data-export change (tracked separately).
Trending usage: Risers
Usage momentum: the slope of snap share, target share, opportunities and red-zone touches over a trailing 4-week window, blended per position. Earliest breakout detector. Noise-guarded descriptive trajectory.
Rank by
WR · Risers
As of Week 3, 2023
Noise-guard: ≥3 wk · ≥12 snaps
| # | Player | Momentum | Now | Window |
|---|---|---|---|---|
| 1 |  Adam ThielenWR CAR | +1.53 | 92%from 89% | 3 wk64 snaps |
| 2 |  Davante AdamsWR LV | +1.50 | 97%from 93% | 3 wk53 snaps |
| 3 |  Romeo DoubsWR GB | +1.44 | 86%from 70% | 3 wk45 snaps |
| 4 |  DJ MooreWR CHI | +1.39 | 100%from 94% | 3 wk56 snaps |
| 5 |  Olamide ZaccheausWR PHI | +1.24 | 55%from 37% | 3 wk29 snaps |
| 6 |  Deebo Samuel Sr.WR SF | +1.22 | 82%from 86% | 3 wk59 snaps |
| 7 |  Nelson AgholorWR BAL | +1.17 | 72%from 48% | 3 wk34 snaps |
| 8 |  A.J. BrownWRPHI | +1.08 | 83%from 90% | 3 wk67 snaps |
| 9 |  CeeDee LambWR DAL | +1.05 | 83%from 78% | 3 wk59 snaps |
| 10 |  Michael GallupWRDAL | +1.04 | 69%from 69% | 3 wk53 snaps |
| 11 |  Drake LondonWR ATL | +1.02 | 93%from 88% | 3 wk59 snaps |
| 12 |  Jayden ReedWRGB | +0.94 | 66%from 58% | 3 wk37 snaps |
| 13 |  Courtland SuttonWR DEN | +0.91 | 95%from 90% | 3 wk58 snaps |
| 14 |  Jake BoboWR SEA | +0.90 | 41%from 30% | 3 wk20 snaps |
| 15 |  Trent Sherfield Sr.WR BUF | +0.88 | 46%from 34% | 3 wk25 snaps |
| 16 |  Jamal AgnewWR JAX | +0.87 | 55%from 32% | 3 wk23 snaps |
| 17 |  Kalif RaymondWR DET | +0.87 | 36%from 35% | 3 wk24 snaps |
| 18 |  Ronnie BellWRSF | +0.86 | 37%from 31% | 3 wk22 snaps |
| 19 |  Tank DellWR HOU | +0.77 | 61%from 63% | 3 wk46 snaps |
| 20 |  Tutu AtwellWR LAR | +0.76 | 87%from 87% | 3 wk62 snaps |
| 21 |  Mike EvansWR TB | +0.75 | 81%from 75% | 3 wk46 snaps |
| 22 |  Chris MooreWR TEN | +0.72 | 38%from 33% | 3 wk19 snaps |
| 23 |  Christian KirkWRJAX | +0.72 | 86%from 76% | 3 wk53 snaps |
| 24 |  Hunter RenfrowWRLV | +0.66 | 51%from 46% | 3 wk25 snaps |
WR · Risers
As of Week 3, 2023
Noise-guard: ≥3 wk · ≥12 snaps
- Momentum (z/wk)
- +1.53
- Now
- 92%from 89%
- Window
- 3 wk64 snaps
- Momentum (z/wk)
- +1.50
- Now
- 97%from 93%
- Window
- 3 wk53 snaps
- Momentum (z/wk)
- +1.44
- Now
- 86%from 70%
- Window
- 3 wk45 snaps
- Momentum (z/wk)
- +1.24
- Now
- 55%from 37%
- Window
- 3 wk29 snaps
- Momentum (z/wk)
- +1.22
- Now
- 82%from 86%
- Window
- 3 wk59 snaps
- Momentum (z/wk)
- +1.17
- Now
- 72%from 48%
- Window
- 3 wk34 snaps
- Momentum (z/wk)
- +1.08
- Now
- 83%from 90%
- Window
- 3 wk67 snaps
- Momentum (z/wk)
- +1.05
- Now
- 83%from 78%
- Window
- 3 wk59 snaps
- Momentum (z/wk)
- +1.04
- Now
- 69%from 69%
- Window
- 3 wk53 snaps
- Momentum (z/wk)
- +1.02
- Now
- 93%from 88%
- Window
- 3 wk59 snaps
- Momentum (z/wk)
- +0.94
- Now
- 66%from 58%
- Window
- 3 wk37 snaps
- Momentum (z/wk)
- +0.91
- Now
- 95%from 90%
- Window
- 3 wk58 snaps
- Momentum (z/wk)
- +0.88
- Now
- 46%from 34%
- Window
- 3 wk25 snaps
- Momentum (z/wk)
- +0.87
- Now
- 55%from 32%
- Window
- 3 wk23 snaps
- Momentum (z/wk)
- +0.87
- Now
- 36%from 35%
- Window
- 3 wk24 snaps
- Momentum (z/wk)
- +0.86
- Now
- 37%from 31%
- Window
- 3 wk22 snaps
- Momentum (z/wk)
- +0.76
- Now
- 87%from 87%
- Window
- 3 wk62 snaps
- Momentum (z/wk)
- +0.75
- Now
- 81%from 75%
- Window
- 3 wk46 snaps
- Momentum (z/wk)
- +0.72
- Now
- 38%from 33%
- Window
- 3 wk19 snaps
- Momentum (z/wk)
- +0.72
- Now
- 86%from 76%
- Window
- 3 wk53 snaps
- Momentum (z/wk)
- +0.66
- Now
- 51%from 46%
- Window
- 3 wk25 snaps
Boards are eligible-only. Every row already clears the noise floor (≥3 played weeks and ≥12 average snaps in the window), so a one-week spike never registers. A trend is descriptive, never a prediction.
Target Share Risers — Last 3 Weeks
Whose passing-game role expanded most — mean team target share over the last three weeks versus the prior three. A descriptive receipt, not a projection.
WR / TE / RB · target-share climbers
Wks 16–18 vs 13–15
| # | Player | Baseline → Recent | Δ share pts | Gms |
|---|---|---|---|---|
| 1 |  Tyreek HillWR MIA | 22%43% | +21 | 3 |
| 2 |  Justice HillRBBAL | 5%24% | +19 | 3 |
| 3 |  Bo MeltonWRGB | 6%24% | +18 | 3 |
| 4 |  Brandon JohnsonWRDEN | 1%17% | +16 | 3 |
| 5 |  Brian Robinson Jr.RB WSH | 0%15% | +15 | 2 |
| 6 |  Andrei IosivasWR CIN | 2%15% | +13 | 3 |
| 7 |  Mike GesickiTE NE | 3%16% | +13 | 3 |
| 8 |  Joshua PalmerWR LAC | 13%25% | +12 | 2 |
| 9 |  Johnny MundtTE MIN | 3%15% | +12 | 3 |
| 10 |  Justin JeffersonWRMIN | 20%31% | +11 | 3 |
| 11 |  Austin HooperTELV | 3%14% | +10 | 3 |
| 12 |  Evan EngramTEJAX | 21%31% | +10 | 3 |
| 13 |  Zay FlowersWRBAL | 17%27% | +10 | 2 |
| 14 |  DJ Chark Jr.WRCAR | 12%22% | +10 | 3 |
| 15 |  Khalil ShakirWRBUF | 5%15% | +10 | 3 |
| 16 |  Van JeffersonWRATL | 2%11% | +10 | 3 |
| 17 |  Juwan JohnsonTE NO | 13%23% | +9 | 3 |
| 18 |  Michael WilsonWR ARI | 8%17% | +9 | 3 |
| 19 |  Khalil HerbertRBCHI | 1%11% | +9 | 3 |
| 20 |  Christian McCaffreyRBSF | 14%22% | +9 | 2 |
WR / TE / RB · target-share climbers
Wks 16–18 vs 13–15
- Baseline → recent target share
- 22%43%
- Change in target share (points)
- +21
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 5%24%
- Change in target share (points)
- +19
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 6%24%
- Change in target share (points)
- +18
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 1%17%
- Change in target share (points)
- +16
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 0%15%
- Change in target share (points)
- +15
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 2%15%
- Change in target share (points)
- +13
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 3%16%
- Change in target share (points)
- +13
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 13%25%
- Change in target share (points)
- +12
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 3%15%
- Change in target share (points)
- +12
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 20%31%
- Change in target share (points)
- +11
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 3%14%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 21%31%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 17%27%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 2
- Baseline → recent target share
- 12%22%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 5%15%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 2%11%
- Change in target share (points)
- +10
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 13%23%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 8%17%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 1%11%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 3
- Baseline → recent target share
- 14%22%
- Change in target share (points)
- +9
- Recent-window games (sample)
- 2
Biggest week-over-week climbers in team target share: last 3 weeks vs the prior 3. Who's seeing their passing-game role expand (WR/TE/RB). Δ is the change in mean weekly team target share (percentage points) between the two windows; positive means the role is expanding. Descriptive week-over-week delta, not a prediction.
Money downs vs all downs
Targets on 3rd & 4th down — the chain-moving snaps most apps fold into a season total. Flip to Money Downs to see who the offense trusts when it matters; the all-downs target share is the baseline they read against.
Money-down targets (3rd+4th)
Targets on 3rd+4th down — the high-leverage passing situations most apps don't split out: who the offense trusts on money downs. TARGET-based, not routes: tank01 has no routes-run data, so this is money-down target share / yards-per-target, not YPRR/TPRR (see FFM-1560).
Money-down yards per target (3rd+4th): Receiving yards per money-down (3rd+4th) target (min 10 targets): efficiency on the downs that move the chains. TARGET-based, not routes: tank01 has no routes-run data, so this is money-down target share / yards-per-target, not YPRR/TPRR (see FFM-1560).
WR · Money downs (3rd+4th)
As of Week 3, 2023
| # | Player | MD tgts | MD tgt% | MD Y/tgt |
|---|---|---|---|---|
| 1 | Adam ThielenWRCAR | 155.0/gm | 43% | 8.9 |
| 2 |  Stefon DiggsWRBUF | 124.0/gm | 41% | 6.9 |
| 3 |  Ja'Marr ChaseWRCIN | 113.7/gm | 28% | 5.7 |
| 4 |  Elijah MooreWR CLE | 113.7/gm | 37% | 3.4 |
| 5 | Davante AdamsWRLV | 113.7/gm | 46% | 12.4 |
| 6 | Justin JeffersonWRMIN | 113.7/gm | 31% | 6.3 |
| 7 | Zay FlowersWRBAL | 103.3/gm | 46% | 6.5 |
| 8 |  Robert WoodsWRHOU | 103.3/gm | 31% | 7.3 |
| 9 |  Michael Pittman Jr.WR IND | 103.3/gm | 31% | 6.0 |
| 10 | Mike EvansWRTB | 103.3/gm | 32% | 7.8 |
| 11 |  Chris OlaveWRNO | 103.3/gm | 32% | 10.9 |
| 12 |  DeAndre HopkinsWRTEN | 103.3/gm | 42% | 7.6 |
| 13 |  Puka NacuaWRLAR | 105.0/gm | 35% | 9.8 |
| 14 | CeeDee LambWRDAL | 93.0/gm | 27% | — |
| 15 |  Josh DownsWRIND | 93.0/gm | 28% | — |
| 16 |  Jordan AddisonWRMIN | 93.0/gm | 26% | — |
| 17 |  Tee HigginsWRCIN | 82.7/gm | 21% | — |
| 18 |  Nico CollinsWRHOU | 82.7/gm | 25% | — |
| 19 |  Jaxon Smith-NjigbaWRSEA | 82.7/gm | 35% | — |
| 20 | Tutu AtwellWRLAR | 82.7/gm | 28% | — |
| 21 |  Keenan AllenWRLAC | 82.7/gm | 32% | — |
| 22 |  George PickensWR PIT | 82.7/gm | 25% | — |
| 23 |  Chris GodwinWRTB | 82.7/gm | 26% | — |
| 24 |  Jonathan MingoWRCAR | 72.3/gm | 20% | — |
WR · Money downs (3rd+4th)
As of Week 3, 2023
- Money-down targets
- 155.0/gm
- Money-down target share
- 43%
- Money-down yards / target
- 8.9
- Money-down targets
- 124.0/gm
- Money-down target share
- 41%
- Money-down yards / target
- 6.9
- Money-down targets
- 113.7/gm
- Money-down target share
- 28%
- Money-down yards / target
- 5.7
- Money-down targets
- 113.7/gm
- Money-down target share
- 37%
- Money-down yards / target
- 3.4
- Money-down targets
- 113.7/gm
- Money-down target share
- 46%
- Money-down yards / target
- 12.4
- Money-down targets
- 113.7/gm
- Money-down target share
- 31%
- Money-down yards / target
- 6.3
- Money-down targets
- 103.3/gm
- Money-down target share
- 46%
- Money-down yards / target
- 6.5
- Money-down targets
- 103.3/gm
- Money-down target share
- 31%
- Money-down yards / target
- 7.3
- Money-down targets
- 103.3/gm
- Money-down target share
- 31%
- Money-down yards / target
- 6.0
- Money-down targets
- 103.3/gm
- Money-down target share
- 32%
- Money-down yards / target
- 7.8
- Money-down targets
- 103.3/gm
- Money-down target share
- 32%
- Money-down yards / target
- 10.9
- Money-down targets
- 103.3/gm
- Money-down target share
- 42%
- Money-down yards / target
- 7.6
- Money-down targets
- 105.0/gm
- Money-down target share
- 35%
- Money-down yards / target
- 9.8
- Money-down targets
- 93.0/gm
- Money-down target share
- 27%
- Money-down yards / target
- —
- Money-down targets
- 93.0/gm
- Money-down target share
- 28%
- Money-down yards / target
- —
- Money-down targets
- 93.0/gm
- Money-down target share
- 26%
- Money-down yards / target
- —
- Money-down targets
- 82.7/gm
- Money-down target share
- 21%
- Money-down yards / target
- —
- Money-down targets
- 82.7/gm
- Money-down target share
- 25%
- Money-down yards / target
- —
- Money-down targets
- 82.7/gm
- Money-down target share
- 35%
- Money-down yards / target
- —
- Money-down targets
- 82.7/gm
- Money-down target share
- 28%
- Money-down yards / target
- —
- Money-down targets
- 82.7/gm
- Money-down target share
- 32%
- Money-down yards / target
- —
- Money-down targets
- 82.7/gm
- Money-down target share
- 25%
- Money-down yards / target
- —
- Money-down targets
- 82.7/gm
- Money-down target share
- 26%
- Money-down yards / target
- —
- Money-down targets
- 72.3/gm
- Money-down target share
- 20%
- Money-down yards / target
- —
Descriptive leaderboard, not a prediction. Money-down = 3rd & 4th down targets from official play-by-play. Yards / target applies a min-target floor (below it: “—”). Target share, not routes: we have no routes-run denominator, so this is not YPRR/TPRR.
WR target share
Who commands the offense’s looks. Flip on full-route participantsto keep only WRs on the field for most of the offense’s snaps — a target share earned on a partial route tree reads differently from a true every-down role.
WR · target share
As of Week 3, 2023
| # | Player | Tgt share | Snap% | Gms |
|---|---|---|---|---|
| 1 | Chris OlaveWRNO | 43% | 79% | 3 |
| 2 | Davante AdamsWRLV | 38% | 93% | 3 |
| 3 | Tyreek HillWRMIA | 38% | 68% | 3 |
| 4 | Puka NacuaWRLAR | 34% | 87% | 3 |
| 5 | Zay FlowersWRBAL | 34% | 85% | 3 |
| 6 | A.J. BrownWRPHI | 34% | 90% | 3 |
| 7 |  Jakobi MeyersWRLV | 33% | 83% | 2 |
| 8 | Deebo Samuel Sr.WRSF | 33% | 86% | 3 |
| 9 |  Garrett WilsonWR NYJ | 33% | 94% | 3 |
| 10 | Stefon DiggsWRBUF | 32% | 79% | 3 |
| 11 | Keenan AllenWRLAC | 32% | 91% | 3 |
| 12 | Mike EvansWRTB | 32% | 75% | 3 |
| 13 |  Amon-Ra St. BrownWRDET | 31% | 87% | 3 |
| 14 | Michael Pittman Jr.WRIND | 31% | 98% | 3 |
| 15 | DeAndre HopkinsWRTEN | 30% | 70% | 3 |
| 16 | Justin JeffersonWRMIN | 29% | 98% | 3 |
| 17 |  Hollywood BrownWRARI | 28% | 91% | 3 |
| 18 | Ja'Marr ChaseWRCIN | 27% | 97% | 3 |
| 19 |  Brandon AiyukWRSF | 27% | 69% | 2 |
| 20 | DJ MooreWRCHI | 26% | 94% | 3 |
| 21 | Elijah MooreWRCLE | 26% | 74% | 3 |
| 22 |  Amari CooperWRCLE | 26% | 71% | 3 |
| 23 | George PickensWRPIT | 25% | 88% | 3 |
| 24 | Tee HigginsWRCIN | 25% | 90% | 3 |
WR · target share
As of Week 3, 2023
- Target share
- 43%
- Snap share (on-field participation)
- 79%
- Games
- 3
- Target share
- 38%
- Snap share (on-field participation)
- 93%
- Games
- 3
- Target share
- 38%
- Snap share (on-field participation)
- 68%
- Games
- 3
- Target share
- 34%
- Snap share (on-field participation)
- 87%
- Games
- 3
- Target share
- 34%
- Snap share (on-field participation)
- 85%
- Games
- 3
- Target share
- 34%
- Snap share (on-field participation)
- 90%
- Games
- 3
- Target share
- 33%
- Snap share (on-field participation)
- 83%
- Games
- 2
- Target share
- 33%
- Snap share (on-field participation)
- 86%
- Games
- 3
- Target share
- 33%
- Snap share (on-field participation)
- 94%
- Games
- 3
- Target share
- 32%
- Snap share (on-field participation)
- 79%
- Games
- 3
- Target share
- 32%
- Snap share (on-field participation)
- 91%
- Games
- 3
- Target share
- 32%
- Snap share (on-field participation)
- 75%
- Games
- 3
- Target share
- 31%
- Snap share (on-field participation)
- 87%
- Games
- 3
- Target share
- 31%
- Snap share (on-field participation)
- 98%
- Games
- 3
- Target share
- 30%
- Snap share (on-field participation)
- 70%
- Games
- 3
- Target share
- 29%
- Snap share (on-field participation)
- 98%
- Games
- 3
- Target share
- 28%
- Snap share (on-field participation)
- 91%
- Games
- 3
- Target share
- 27%
- Snap share (on-field participation)
- 97%
- Games
- 3
- Target share
- 27%
- Snap share (on-field participation)
- 69%
- Games
- 2
- Target share
- 26%
- Snap share (on-field participation)
- 74%
- Games
- 3
- Target share
- 26%
- Snap share (on-field participation)
- 71%
- Games
- 3
- Target share
- 25%
- Snap share (on-field participation)
- 88%
- Games
- 3
- Target share
- 25%
- Snap share (on-field participation)
- 90%
- Games
- 3
share of team targets: passing-game role Snap share is the honest on-field participation proxy for route participation — tank01 has no routes-run denominator, so this is real snap share, never a fabricated routes rate. Descriptive leaderboard, not a prediction.
Schedule strength by position
Easiest → hardest remaining schedule per team. Projected on 2025 defense. low-confidence early-season estimate.
WR · Rest-of-season schedule
Remaining opponents from week 2 forward — the trade/streaming horizon.
100 = league avg · >100 softer
| # ▲ | Team | Schedule | SOS index | Avg opp DvP | Games |
|---|---|---|---|---|---|
| 1 | PHI | Easy | 108 | 6.41 | 16 |
| 2 | HOU | Easy | 106 | 6.30 | 16 |
| 3 | JAX | Easy | 104 | 6.23 | 16 |
| 4 | MIN | Easy | 104 | 6.19 | 16 |
| 5 | DAL | Easy | 103 | 6.16 | 16 |
| 6 | TEN | Easy | 103 | 6.16 | 16 |
| 7 | SEA | Easy | 103 | 6.14 | 16 |
| 8 | WSH | Easy | 103 | 6.14 | 16 |
| 9 | CLE | Easy | 102 | 6.11 | 16 |
| 10 |  NYG | Easy | 102 | 6.09 | 16 |
| 11 | ARI | Average | 102 | 6.09 | 16 |
| 12 | CIN | Average | 102 | 6.06 | 16 |
| 13 | GB | Average | 101 | 6.03 | 16 |
| 14 | TB | Average | 101 | 6.01 | 16 |
| 15 | BUF | Average | 100 | 5.97 | 16 |
| 16 | NO | Average | 100 | 5.97 | 16 |
| 17 | DET | Average | 100 | 5.96 | 16 |
| 18 | IND | Average | 99 | 5.90 | 16 |
| 19 | LAR | Average | 99 | 5.88 | 16 |
| 20 | SF | Average | 98 | 5.86 | 16 |
| 21 | NE | Average | 98 | 5.85 | 16 |
| 22 | ATL | Average | 98 | 5.84 | 16 |
| 23 |  KC | Hard | 98 | 5.84 | 16 |
| 24 | DEN | Hard | 98 | 5.83 | 16 |
| 25 | MIA | Hard | 97 | 5.81 | 16 |
| 26 | LAC | Hard | 97 | 5.79 | 16 |
| 27 | BAL | Hard | 97 | 5.77 | 16 |
| 28 | CAR | Hard | 97 | 5.76 | 16 |
| 29 | CHI | Hard | 96 | 5.75 | 16 |
| 30 | PIT | Hard | 96 | 5.71 | 16 |
| 31 | NYJ | Hard | 95 | 5.66 | 16 |
| 32 | LV | Hard | 95 | 5.64 | 16 |
WR · Rest-of-season schedule
Remaining opponents from week 2 forward — the trade/streaming horizon.
100 = league avg · >100 softer
Easiest rank1ScheduleEasySOS index108Avg opp DvP6.41Games16
Easiest rank2ScheduleEasySOS index106Avg opp DvP6.30Games16
Easiest rank3ScheduleEasySOS index104Avg opp DvP6.23Games16
Easiest rank4ScheduleEasySOS index104Avg opp DvP6.19Games16
Easiest rank5ScheduleEasySOS index103Avg opp DvP6.16Games16
Easiest rank6ScheduleEasySOS index103Avg opp DvP6.16Games16
Easiest rank7ScheduleEasySOS index103Avg opp DvP6.14Games16
Easiest rank8ScheduleEasySOS index103Avg opp DvP6.14Games16
Easiest rank9ScheduleEasySOS index102Avg opp DvP6.11Games16
Easiest rank10ScheduleEasySOS index102Avg opp DvP6.09Games16
Easiest rank11ScheduleAverageSOS index102Avg opp DvP6.09Games16
Easiest rank12ScheduleAverageSOS index102Avg opp DvP6.06Games16
Easiest rank13ScheduleAverageSOS index101Avg opp DvP6.03Games16
Easiest rank14ScheduleAverageSOS index101Avg opp DvP6.01Games16
Easiest rank15ScheduleAverageSOS index100Avg opp DvP5.97Games16
Easiest rank16ScheduleAverageSOS index100Avg opp DvP5.97Games16
Easiest rank17ScheduleAverageSOS index100Avg opp DvP5.96Games16
Easiest rank18ScheduleAverageSOS index99Avg opp DvP5.90Games16
Easiest rank19ScheduleAverageSOS index99Avg opp DvP5.88Games16
Easiest rank20ScheduleAverageSOS index98Avg opp DvP5.86Games16
Easiest rank21ScheduleAverageSOS index98Avg opp DvP5.85Games16
Easiest rank22ScheduleAverageSOS index98Avg opp DvP5.84Games16
Easiest rank23ScheduleHardSOS index98Avg opp DvP5.84Games16
Easiest rank24ScheduleHardSOS index98Avg opp DvP5.83Games16
Easiest rank25ScheduleHardSOS index97Avg opp DvP5.81Games16
Easiest rank26ScheduleHardSOS index97Avg opp DvP5.79Games16
Easiest rank27ScheduleHardSOS index97Avg opp DvP5.77Games16
Easiest rank28ScheduleHardSOS index97Avg opp DvP5.76Games16
Easiest rank29ScheduleHardSOS index96Avg opp DvP5.75Games16
Easiest rank30ScheduleHardSOS index96Avg opp DvP5.71Games16
Easiest rank31ScheduleHardSOS index95Avg opp DvP5.66Games16
Easiest rank32ScheduleHardSOS index95Avg opp DvP5.64Games16
100 = league-average schedule for the position; >100 softer, <100 tougher. sos_index = mean(opponent dvp / league-mean dvp for the position) × 100, so it is comparable across positions.
Per-metric leaderboards: QB top 10
Opportunities
carries + targets: total volume, who's getting fed
- 1
Lamar JacksonBAL3210.7/gm - 2
Jalen HurtsPHI3110.3/gm - 3
Daniel JonesNYG248.0/gm - 4
Justin FieldsCHI248.0/gm - 5
Taysom HillNO206.7/gm - 6
Patrick MahomesKC165.3/gm - 7
Baker MayfieldTB155.0/gm - 8
Deshaun WatsonCLE155.0/gm - 9
Trevor LawrenceJAX155.0/gm - 10
Jordan LoveGB144.7/gm
Snap share
share of offensive snaps: on-field role
- 1
Matthew StaffordLAR100%3 gms - 2
Kirk CousinsMIN100%3 gms - 3
Russell WilsonDEN100%3 gms - 4
Geno SmithSEA100%3 gms - 5
Joshua DobbsARI100%3 gms - 6
Jared GoffDET100%3 gms - 7Baker MayfieldTB100%3 gms
- 8Lamar JacksonBAL100%3 gms
- 9
Justin HerbertLAC100%3 gms - 10Jalen HurtsPHI100%3 gms
Target share
share of team targets: passing-game role
- 1Taysom HillNO5%3 gms
- 2
Desmond RidderATL2%3 gms - 3
C.J. StroudHOU1%3 gms - 4Matthew StaffordLAR0%3 gms
- 5Kirk CousinsMIN0%3 gms
- 6Russell WilsonDEN0%3 gms
- 7Geno SmithSEA0%3 gms
- 8
Derek CarrNO0%3 gms - 9
Jimmy GaroppoloLV0%3 gms - 10
Dak PrescottDAL0%3 gms
Fantasy points (PPR)
PPR fantasy points: the headline scoring leaderboard
- 1Justin HerbertLAC7224.1/gm
- 2Kirk CousinsMIN7123.6/gm
- 3Tua TagovailoaOUTMIA6822.6/gm
- 4Jordan LoveGB6822.5/gm
- 5Patrick MahomesKC6622.1/gm
- 6Lamar JacksonBAL5819.2/gm
- 7Jalen HurtsPHI5819.2/gm
- 8Russell WilsonDEN5518.4/gm
- 9Jared GoffDET5518.3/gm
- 10
Josh AllenBUF5418.0/gm
Receptions
catches: PPR's core currency
- 1Taysom HillNO20.7/gm
- 2Desmond RidderATL10.3/gm
- 3C.J. StroudHOU10.3/gm
- 4Matthew StaffordLAR00.0/gm
- 5Kirk CousinsMIN00.0/gm
- 6Russell WilsonDEN00.0/gm
- 7Geno SmithSEA00.0/gm
- 8Derek CarrNO00.0/gm
- 9Jimmy GaroppoloLV00.0/gm
- 10Dak PrescottDAL00.0/gm
Yards from scrimmage
receiving + rushing yards
- 1Lamar JacksonBAL19364.3/gm
- 2Justin FieldsCHI10936.3/gm
- 3Daniel JonesNYG10735.7/gm
- 4Patrick MahomesKC10334.3/gm
- 5Jalen HurtsPHI10033.3/gm
- 6Taysom HillNO9933.0/gm
- 7Joshua DobbsARI9331.0/gm
- 8Josh AllenBUF8929.7/gm
- 9Deshaun WatsonCLE8327.7/gm
- 10
Anthony RichardsonIND7537.5/gm
Touchdowns
receiving + rushing TDs
- 1Jalen HurtsPHI31.0/gm
- 2Anthony RichardsonIND31.5/gm
- 3Lamar JacksonBAL20.7/gm
- 4Joshua DobbsARI10.3/gm
- 5Jared GoffDET10.3/gm
- 6Deshaun WatsonCLE10.3/gm
- 7Daniel JonesNYG10.3/gm
- 8Josh AllenBUF10.3/gm
- 9Jordan LoveGB10.3/gm
- 10Justin HerbertLAC10.3/gm
Catch rate
receptions / targets (min 10 targets): efficiency, not volume
No data.
Yards per touch
scrimmage yards per touch (min 10 touches): efficiency, not volume
- 1Joshua DobbsARI7.812 vol
- 2Josh AllenBUF7.412 vol
- 3Patrick MahomesKC6.416 vol
- 4Lamar JacksonBAL6.032 vol
- 5Anthony RichardsonIND5.813 vol
- 6Deshaun WatsonCLE5.515 vol
- 7Taysom HillNO5.518 vol
- 8Jordan LoveGB5.314 vol
- 9
Mac JonesNE4.811 vol - 10Justin FieldsCHI4.524 vol
TD rate (per touch)
TDs per touch (min 10 touches): efficiency, not volume
- 1Anthony RichardsonIND23%2 gms
- 2Jared GoffDET10%3 gms
- 3
Brock PurdySF10%3 gms - 4Jalen HurtsPHI10%3 gms
- 5Joshua DobbsARI8%3 gms
- 6Josh AllenBUF8%3 gms
- 7Jordan LoveGB7%3 gms
- 8Desmond RidderATL7%3 gms
- 9Deshaun WatsonCLE7%3 gms
- 10Lamar JacksonBAL6%3 gms
PPR per snap (per-route proxy)
PPR points per offensive snap (min 100 snaps): per-SNAP proxy: routes run aren't in our data, so this stands in for FP per route run. Productivity independent of playing time
- 1Jordan LoveGB0.4184 vol
- 2Tua TagovailoaOUTMIA0.4188 vol
- 3Patrick MahomesKC0.4188 vol
- 4Kirk CousinsMIN0.3204 vol
- 5Justin HerbertLAC0.3215 vol
- 6Russell WilsonDEN0.3192 vol
- 7Lamar JacksonBAL0.3211 vol
- 8Josh AllenBUF0.3200 vol
- 9Jared GoffDET0.3206 vol
- 10Jalen HurtsPHI0.3223 vol
Targets per snap (per-route proxy)
targets per offensive snap (min 100 snaps): per-SNAP proxy: routes run aren't in our data, so this stands in for targets per route run. Earning work independent of playing time
- 1C.J. StroudHOU1%3 gms
- 2Desmond RidderATL1%3 gms
- 3Deshaun WatsonCLE0%3 gms
- 4Mac JonesNE0%3 gms
- 5Jalen HurtsPHI0%3 gms
- 6Dak PrescottDAL0%3 gms
- 7Matthew StaffordLAR0%3 gms
- 8Justin HerbertLAC0%3 gms
- 9Lamar JacksonBAL0%3 gms
- 10Jared GoffDET0%3 gms
Boom-game rate (18+ PPR)
share of games with 18+ PPR points (min 8 games): elite-ceiling frequency, how often a player goes elite, not the season average
No data.
Elite game count (18+ PPR)
number of games with 18+ PPR points: how many times a player hit the weekly ceiling (per_game recovers the boom rate). Ranks by raw count — the @FantasyPtsData elite-game leaderboard, not the season average
- 1Patrick MahomesKC31.0/gm
- 2Jordan LoveGB31.0/gm
- 3Justin HerbertLAC31.0/gm
- 4Kirk CousinsMIN20.7/gm
- 5Jared GoffDET20.7/gm
- 6Deshaun WatsonCLE20.7/gm
- 7Lamar JacksonBAL20.7/gm
- 8Josh AllenBUF20.7/gm
- 9Jalen HurtsPHI20.7/gm
- 10Tua TagovailoaOUTMIA20.7/gm
3rd-down usage
3rd-down carries + targets: who's on the field and getting the ball on 3rd down
pbp
- 1Jalen HurtsPHI144.7/gm
- 2Daniel JonesNYG72.3/gm
- 3Justin FieldsCHI63.0/gm
- 4Jordan LoveGB51.7/gm
- 5Jimmy GaroppoloLV52.5/gm
- 6Baker MayfieldTB52.5/gm
- 7Josh AllenBUF52.5/gm
- 8Mac JonesNE52.5/gm
- 9Desmond RidderATL55.0/gm
- 10Lamar JacksonBAL41.3/gm
3rd-down conversion rate
share of a player's 3rd-down touches that converted (min 8 attempts): efficiency, not volume
pbp
- 1Jalen HurtsPHI64%3 gms
Receiving first downs
Receptions that moved the chains (gained the yards to go) or scored: raw chain-moving volume on targets. Per-TARGET, not per-route: tank01 has no routes-run data, so this is the honest 1D/TGT stand-in for the routes-based 1D/RR (First Downs per Route Run), not 1D/RR itself (see FFM-1611).
pbp
- 1Taysom HillNO00.0/gm
- 2Desmond RidderATL00.0/gm
- 3C.J. StroudHOU00.0/gm
First downs per target (1D/TGT)
Share of a receiver's targets that convert to a first down (min 10 targets): route/target EFFECTIVENESS, not volume — the coming-week opportunity-quality signal @FantasyPtsData surfaces as 1D/RR. Per-TARGET, not per-route: tank01 has no routes-run data, so this is the honest 1D/TGT stand-in for the routes-based 1D/RR (First Downs per Route Run), not 1D/RR itself (see FFM-1611).
pbp
No data.
Deep-target rate (proxy)
deep targets / total targets (min 10 targets): a deep-target PROXY, not aDOT
pbp
No data.
Deep-target share (proxy)
player deep targets / team deep targets: a deep-target PROXY, not air-yards share
pbp
- 1Desmond RidderATL0%3 gms
- 2C.J. StroudHOU0%3 gms
- 3Taysom HillNO0%3 gms
Opportunity Score (proxy)
1.5·target-share + 0.7·deep-target-share + 0.6·rush-share: an Opportunity PROXY, not WOPR
pbp
- 1Taysom HillNO0.163 gms
- 2Desmond RidderATL0.103 gms
- 3C.J. StroudHOU0.093 gms
QB deep-pass rate (proxy)
deep passes / tagged pass attempts (min 40 attempts) — a throw-depth PROXY, not aDOT
pbp
- 1Tua TagovailoaOUTMIA24%3 gms
- 2Jimmy GaroppoloLV23%3 gms
- 3Derek CarrNO22%3 gms
- 4Deshaun WatsonCLE22%3 gms
- 5Jared GoffDET21%3 gms
- 6Baker MayfieldTB21%3 gms
- 7Jordan LoveGB20%3 gms
- 8
Bryce YoungCAR20%2 gms - 9Jalen HurtsPHI20%3 gms
- 10Josh AllenBUF19%3 gms
QB WR-target rate
share of a QB's targets thrown to WRs (min 50 pass attempts): high = a WR funnel that lifts every WR's floor
pbp
- 1
Gardner MinshewIND77%3 gms - 2Justin HerbertLAC74%3 gms
- 3Jimmy GaroppoloLV70%3 gms
- 4
Joe BurrowCIN70%3 gms - 5
Andy DaltonCAR70%1 gms - 6Matthew StaffordLAR69%3 gms
- 7Jordan LoveGB69%3 gms
- 8Baker MayfieldTB69%3 gms
- 9Lamar JacksonBAL66%3 gms
- 10Tua TagovailoaOUTMIA65%3 gms
QB TE-target rate
share of a QB's targets thrown to TEs (min 50 pass attempts): high = a TE-heavy QB that crowds out WR2+ value
pbp
- 1Joshua DobbsARI53%3 gms
- 2Desmond RidderATL39%3 gms
- 3Jared GoffDET35%3 gms
- 4Patrick MahomesKC28%3 gms
- 5Kirk CousinsMIN26%3 gms
- 6Daniel JonesNYG26%3 gms
- 7Mac JonesNE25%3 gms
- 8Geno SmithSEA24%3 gms
- 9Dak PrescottDAL22%3 gms
- 10Josh AllenBUF22%3 gms
QB RB-target rate
share of a QB's targets thrown to RBs (min 50 pass attempts): high = a checkdown-heavy QB lifting pass-catching RBs
pbp
- 1Bryce YoungCAR29%2 gms
- 2Justin FieldsCHI29%3 gms
- 3Desmond RidderATL28%3 gms
- 4Russell WilsonDEN26%3 gms
- 5
Kenny PickettPIT26%3 gms - 6Jimmy GaroppoloLV24%3 gms
- 7Joshua DobbsARI22%3 gms
- 8Jared GoffDET22%3 gms
- 9Dak PrescottDAL21%3 gms
- 10Andy DaltonCAR21%1 gms
QB aDOT (air yards)
mean air yards per pass attempt: TRUE aDOT from nflverse (min 60 attempts). Row carries deep-rate (air yards ≥ 20) + a left/middle/right split.
nflverse
- 1Jordan LoveGB10.603 gms
- 2Deshaun WatsonCLE9.763 gms
- 3Jalen HurtsPHI9.483 gms
- 4Tua TagovailoaOUTMIA9.053 gms
- 5Derek CarrNO9.053 gms
- 6Jimmy GaroppoloLV8.823 gms
- 7Matthew StaffordLAR8.713 gms
- 8Mac JonesNE8.503 gms
- 9Russell WilsonDEN8.333 gms
- 10Baker MayfieldTB8.263 gms
Receiver aDOT (air yards)
mean air yards per target: TRUE aDOT from nflverse (min 20 targets). Row carries air-yards share, YAC per reception + a left/middle/right split.
nflverse
No data.
Air-yards share
player air yards / team air yards: TRUE air-yards share from nflverse (min 20 targets).
nflverse
No data.
WOPR (Weighted Opportunity Rating)
WOPR = 0.8·air-yards share + 0.2·target share (min 20 targets): the REAL Weighted Opportunity Rating on TRUE nflverse air yards — a WR/TE opportunity score, not the tank01 deep-target opportunity_score stand-in. Both component shares are shown alongside the composite.
nflverse
No data.
Redzone touches
carries + targets inside the opponent's 20
pbp
- 1Jared GoffDET62.0/gm
- 2Jalen HurtsPHI62.0/gm
- 3Justin FieldsCHI62.0/gm
- 4Anthony RichardsonIND63.0/gm
- 5Daniel JonesNYG51.7/gm
- 6Taysom HillNO41.3/gm
- 7Patrick MahomesKC41.3/gm
- 8Trevor LawrenceJAX41.3/gm
- 9Deshaun WatsonCLE31.0/gm
- 10Josh AllenBUF31.0/gm
Redzone carries
carries inside the opponent's 20: goal-line rush role
pbp
- 1Jared GoffDET62.0/gm
- 2Jalen HurtsPHI62.0/gm
- 3Justin FieldsCHI62.0/gm
- 4Anthony RichardsonIND63.0/gm
- 5Daniel JonesNYG51.7/gm
- 6Patrick MahomesKC41.3/gm
- 7Trevor LawrenceJAX41.3/gm
- 8Taysom HillNO31.0/gm
- 9Deshaun WatsonCLE31.0/gm
- 10Josh AllenBUF31.0/gm
Redzone targets
targets inside the opponent's 20: redzone passing role
pbp
- 1Taysom HillNO10.3/gm
- 2Matthew StaffordLAR00.0/gm
- 3Kirk CousinsMIN00.0/gm
- 4Russell WilsonDEN00.0/gm
- 5Geno SmithSEA00.0/gm
- 6Derek CarrNO00.0/gm
- 7Jimmy GaroppoloLV00.0/gm
- 8Dak PrescottDAL00.0/gm
- 9Joshua DobbsARI00.0/gm
- 10Jared GoffDET00.0/gm
Inside-10 touches
carries + targets inside the opponent's 10
pbp
- 1Jalen HurtsPHI51.7/gm
- 2Patrick MahomesKC31.0/gm
- 3Justin FieldsCHI31.0/gm
- 4Anthony RichardsonIND31.5/gm
- 5Taysom HillNO20.7/gm
- 6Jared GoffDET20.7/gm
- 7Josh AllenBUF20.7/gm
- 8Matthew StaffordLAR10.3/gm
- 9Kirk CousinsMIN10.3/gm
- 10Russell WilsonDEN10.3/gm
Goal-line touches
carries + targets inside the opponent's 5: TD range
pbp
- 1Jalen HurtsPHI41.3/gm
- 2Patrick MahomesKC20.7/gm
- 3Anthony RichardsonIND21.0/gm
- 4Matthew StaffordLAR10.3/gm
- 5Russell WilsonDEN10.3/gm
- 6Taysom HillNO10.3/gm
- 7Jared GoffDET10.3/gm
- 8Josh AllenBUF10.3/gm
- 9Jordan LoveGB10.3/gm
- 10Trevor LawrenceJAX10.3/gm
Goal-line carry share
player's share of the team's carries inside the opponent's 5 (min 3 carries): the rushing-TD opportunity signal
pbp
- 1Jalen HurtsPHI57%3 gms
Redzone touch share
player's share of the team's redzone touches (min 3 touches)
pbp
- 1Justin FieldsCHI33%3 gms
- 2Anthony RichardsonIND30%2 gms
- 3Jared GoffDET29%3 gms
- 4Daniel JonesNYG24%3 gms
- 5Jalen HurtsPHI19%3 gms
- 6Deshaun WatsonCLE19%3 gms
- 7Trevor LawrenceJAX18%3 gms
- 8Taysom HillNO16%3 gms
- 9Josh AllenBUF14%3 gms
- 10Patrick MahomesKC13%3 gms
Redzone target share
player's share of the team's redzone targets (min 3 targets): passing TD-upside predictor
pbp
No data.
Redzone carry share
player's share of the team's redzone carries (min 3 carries): goal-line rush TD-upside predictor
pbp
- 1Justin FieldsCHI60%3 gms
- 2Anthony RichardsonIND50%2 gms
- 3Daniel JonesNYG42%3 gms
- 4Trevor LawrenceJAX33%3 gms
- 5Deshaun WatsonCLE33%3 gms
- 6Josh AllenBUF33%3 gms
- 7Jared GoffDET32%3 gms
- 8Jalen HurtsPHI26%3 gms
- 9Patrick MahomesKC25%3 gms
- 10Taysom HillNO21%3 gms
Redzone targets allowed
targets a defense allows to the position inside its own 20: redzone matchup
pbp
- 1TTENdefensedefense10.3/gm
- 2JJAXdefensedefense00.0/gm
- 3DDALdefensedefense00.0/gm
- 4BBUFdefensedefense00.0/gm
- 5KKCdefensedefense00.0/gm
- 6AARIdefensedefense00.0/gm
- 7WWSHdefensedefense00.0/gm
- 8CCINdefensedefense00.0/gm
- 9NNYGdefensedefense00.0/gm
- 10IINDdefensedefense00.0/gm
Redzone touches allowed
carries + targets a defense allows to the position inside its own 20
pbp
- 1JJAXdefensedefense103.3/gm
- 2KKCdefensedefense82.7/gm
- 3TTENdefensedefense51.7/gm
- 4TTBdefensedefense51.7/gm
- 5AATLdefensedefense51.7/gm
- 6AARIdefensedefense41.3/gm
- 7GGBdefensedefense31.0/gm
- 8CCHIdefensedefense31.0/gm
- 9HHOUdefensedefense31.0/gm
- 10LLVdefensedefense31.0/gm
Goal-line touches allowed
carries + targets a defense allows inside its own 5: TD range
pbp
- 1JJAXdefensedefense51.7/gm
- 2TTBdefensedefense31.0/gm
- 3MMINdefensedefense20.7/gm
- 4KKCdefensedefense10.3/gm
- 5WWSHdefensedefense10.3/gm
- 6SSEAdefensedefense10.3/gm
- 7CCARdefensedefense10.3/gm
- 8AATLdefensedefense10.3/gm
- 9LLARdefensedefense10.3/gm
- 10LLVdefensedefense10.3/gm
3rd-down conversion allowed
share of the position's 3rd-down touches that convert against this defense (min 8 attempts): matchup efficiency, not volume
pbp
- 1NNYJdefensedefense78%3 gms
- 2MMINdefensedefense38%3 gms
Goal-line TDs
TDs scored from inside the 5 (true goal-line <=3): who converts in TD range
scoringplays
- 1Jalen HurtsPHI31.0/gm
- 2Jared GoffDET10.3/gm
- 3Jordan LoveGB10.3/gm
- 4Justin HerbertLAC10.3/gm
- 5Brock PurdySF10.3/gm
- 6Justin FieldsCHI10.3/gm
- 7Anthony RichardsonIND10.5/gm
Rushing TDs
rushing touchdowns from scoring plays (goal-line split)
scoringplays
- 1Jalen HurtsPHI31.0/gm
- 2Anthony RichardsonIND31.5/gm
- 3Lamar JacksonBAL20.7/gm
- 4Joshua DobbsARI10.3/gm
- 5Jared GoffDET10.3/gm
- 6Deshaun WatsonCLE10.3/gm
- 7Daniel JonesNYG10.3/gm
- 8Josh AllenBUF10.3/gm
- 9Jordan LoveGB10.3/gm
- 10Justin HerbertLAC10.3/gm
Receiving TDs
receiving touchdowns from scoring plays (goal-line split)
scoringplays
No data.
Passing TDs
touchdown passes thrown (from scoring plays): QB scoring
scoringplays
- 1Kirk CousinsMIN93.0/gm
- 2Tua TagovailoaOUTMIA82.7/gm
- 3Patrick MahomesKC72.3/gm
- 4Jordan LoveGB72.3/gm
- 5Russell WilsonDEN62.0/gm
- 6Justin HerbertLAC62.0/gm
- 7Jimmy GaroppoloLV51.7/gm
- 8Jared GoffDET51.7/gm
- 9Josh AllenBUF51.7/gm
- 10Mac JonesNE51.7/gm
Total EPA (our EP)
sum of play EPA from our play-by-play EP model: total value created
our EP (play-by-play)
- 1Tua TagovailoaOUTMIA+61.13 gms
- 2Justin HerbertLAC+57.13 gms
- 3Kirk CousinsMIN+50.23 gms
- 4Josh AllenBUF+48.73 gms
- 5Brock PurdySF+47.43 gms
- 6Patrick MahomesKC+46.03 gms
- 7Matthew StaffordLAR+41.53 gms
- 8Geno SmithSEA+39.13 gms
- 9Jalen HurtsPHI+38.03 gms
- 10Dak PrescottDAL+37.53 gms
EPA / rush (our EP)
rushing EPA per carry from our EP model
our EP (play-by-play)
- 1Justin FieldsCHI+0.3823 vol
- 2Daniel JonesNYG+0.3622 vol
- 3Jalen HurtsPHI+0.2431 vol
- 4Lamar JacksonBAL+0.2129 vol
EPA / target (our EP)
receiving EPA per target from our EP model
our EP (play-by-play)
No data.
TDs over expected (sell-high)
actual minus opportunity-based expected TDs: positive = TD-lucky, a regression-DOWN watch. Descriptive (expected TDs), not a start/sit call.
opportunity-based (play-by-play)
- 1Jalen HurtsPHI+1.23 TD · 1.8 xTD
- 2Daniel JonesNYG+0.71 TD · 0.3 xTD
- 3Justin FieldsCHI+0.31 TD · 0.7 xTD
- 4Lamar JacksonBAL-0.10 TD · 0.1 xTD
TDs under expected (buy-low)
actual minus opportunity-based expected TDs: negative = due for positive TD regression, a buy-low. Descriptive (expected TDs), not a start/sit call.
opportunity-based (play-by-play)
- 1Lamar JacksonBAL-0.10 TD · 0.1 xTD
- 2Justin FieldsCHI+0.31 TD · 0.7 xTD
- 3Daniel JonesNYG+0.71 TD · 0.3 xTD
- 4Jalen HurtsPHI+1.23 TD · 1.8 xTD
Expected fantasy points (xFP)
every carry / target / pass attempt valued at the league PPR rate for its field zone + down, summed: opportunity volume x quality, not production. Descriptive, not a projection.
opportunity-valued (play-by-play)
- 1Kirk CousinsMIN57.853 gms
- 2Patrick MahomesKC57.213 gms
- 3Jalen HurtsPHI55.483 gms
- 4Matthew StaffordLAR49.683 gms
- 5Justin HerbertLAC49.413 gms
- 6Russell WilsonDEN49.323 gms
- 7Dak PrescottDAL48.523 gms
- 8Josh AllenBUF47.783 gms
- 9Jordan LoveGB47.223 gms
- 10Tua TagovailoaOUTMIA47.123 gms
xFP per game
opportunity-based expected PPR points divided by games played: the size of the weekly role, independent of missed weeks. Descriptive, not a projection.
opportunity-valued (play-by-play)
- 1Kirk CousinsMIN19.283 gms
- 2Patrick MahomesKC19.073 gms
- 3Jalen HurtsPHI18.493 gms
- 4Matthew StaffordLAR16.563 gms
- 5Justin HerbertLAC16.473 gms
- 6Russell WilsonDEN16.443 gms
- 7Dak PrescottDAL16.173 gms
- 8Josh AllenBUF15.933 gms
- 9Jordan LoveGB15.743 gms
- 10Tua TagovailoaOUTMIA15.713 gms
xFP per snap (per-route proxy)
opportunity-based expected PPR points per offensive snap (min 100 snaps): per-SNAP proxy — routes run aren't in our data, so this stands in for XFP per route run. Opportunity quality independent of playing time. Descriptive, not a projection.
opportunity-valued (play-by-play)
- 1Patrick MahomesKC0.303 gms
- 2Kirk CousinsMIN0.283 gms
- 3Russell WilsonDEN0.263 gms
- 4Jordan LoveGB0.263 gms
- 5Tua TagovailoaOUTMIA0.253 gms
- 6Daniel JonesNYG0.253 gms
- 7Jalen HurtsPHI0.253 gms
- 8Justin FieldsCHI0.253 gms
- 9Joe BurrowCIN0.243 gms
- 10Josh AllenBUF0.243 gms
PPR over xFP (sell-high)
actual box-score PPR minus opportunity-based expected fantasy points (xFP values every carry / target / pass attempt at the league rate for its field zone + down; excludes 2-pt conversions and return TDs). Positive = producing ABOVE the opportunity curve: efficiency or luck; a regression-DOWN watch. Descriptive, not a start/sit call.
opportunity-valued (play-by-play)
- 1Justin HerbertLAC+22.972.4 FP · 49.4 xFP
- 2Tua TagovailoaOUTMIA+20.667.8 FP · 47.1 xFP
- 3Jordan LoveGB+20.467.6 FP · 47.2 xFP
- 4Lamar JacksonBAL+15.357.6 FP · 42.3 xFP
- 5Deshaun WatsonCLE+14.753.4 FP · 38.7 xFP
- 6Anthony RichardsonIND+13.438.7 FP · 25.3 xFP
- 7Kirk CousinsMIN+12.870.7 FP · 57.9 xFP
- 8Jared GoffDET+12.755.0 FP · 42.3 xFP
- 9Brock PurdySF+11.251.8 FP · 40.6 xFP
- 10Joshua DobbsARI+9.643.3 FP · 33.7 xFP
PPR under xFP (buy-low)
actual box-score PPR minus opportunity-based expected fantasy points (xFP values every carry / target / pass attempt at the league rate for its field zone + down; excludes 2-pt conversions and return TDs). Negative = producing BELOW the opportunity curve: due for positive regression; a buy-low watch. Descriptive, not a start/sit call.
opportunity-valued (play-by-play)
- 1Joe BurrowCIN-19.126.7 FP · 45.8 xFP
- 2Zach WilsonOUTNYJ-9.923.0 FP · 32.9 xFP
- 3Matthew StaffordLAR-9.839.9 FP · 49.7 xFP
- 4Derek CarrNO-8.429.4 FP · 37.8 xFP
- 5Dak PrescottDAL-8.240.3 FP · 48.5 xFP
- 6Daniel JonesNYG-6.339.2 FP · 45.5 xFP
- 7Bryce YoungCAR-4.921.1 FP · 26.0 xFP
- 8Trevor LawrenceJAX-4.641.3 FP · 46.0 xFP
- 9Justin FieldsCHI-4.339.9 FP · 44.2 xFP
- 10Desmond RidderATL-3.336.6 FP · 39.9 xFP
Leaderboards are descriptive. For accountable start/sit calls, see Calls.