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Home/NFL Tight End Advanced Stats: Target Share & EPA

NFL Tight End Advanced Stats: Target Share & EPA

Tight end is the position where the box score misleads the most. A TE’s targets come in the highest-leverage spots on the field — third downs, red zone, play-action seams — so raw yardage undersells some players and a touchdown spike oversells others. This board ranks every qualifying NFL tight end on target share, EPA per target, and the tracking layer that shows how the production happens: separation, YAC over expected, drop rate, and the passer rating quarterbacks post when throwing his way.

TE Efficiency Lab — 2025 season
EPA/target · target share · separation & ball skills — min 50 targets · updated 11h ago
7.9-0.2813.2-0.0218.50.2423.80.5029.20.76efficient in small doseselitestrugglingvolume-dependentGeorge Kittle (SF): 0.67 EPA/tgt, 12.6 TgtSh%Colston Loveland (CHI): 0.58 EPA/tgt, 15.4 TgtSh%Brenton Strange (JAX): 0.52 EPA/tgt, 11.0 TgtSh%Dallas Goedert (PHI): 0.44 EPA/tgt, 17.7 TgtSh%Hunter Henry (NE): 0.43 EPA/tgt, 18.1 TgtSh%Pat Freiermuth (PIT): 0.43 EPA/tgt, 10.3 TgtSh%Trey McBride (ARI): 0.43 EPA/tgt, 27.4 TgtSh%AJ Barner (SEA): 0.41 EPA/tgt, 15.0 TgtSh%Travis Kelce (KC): 0.37 EPA/tgt, 19.7 TgtSh%Dalton Schultz (HOU): 0.35 EPA/tgt, 19.2 TgtSh%Juwan Johnson (NO): 0.35 EPA/tgt, 18.1 TgtSh%Brock Bowers (LV): 0.27 EPA/tgt, 17.4 TgtSh%Oronde Gadsden II (LAC): 0.24 EPA/tgt, 12.7 TgtSh%Colby Parkinson (LA): 0.22 EPA/tgt, 9.6 TgtSh%T.J. Hockenson (MIN): 0.21 EPA/tgt, 14.1 TgtSh%Kyle Pitts (ATL): 0.21 EPA/tgt, 22.7 TgtSh%Jake Ferguson (DAL): 0.19 EPA/tgt, 16.8 TgtSh%Zach Ertz (WAS): 0.16 EPA/tgt, 16.7 TgtSh%Chig Okonkwo (TEN): 0.16 EPA/tgt, 14.9 TgtSh%Mason Taylor (NYJ): 0.15 EPA/tgt, 13.8 TgtSh%Tyler Warren (IND): 0.14 EPA/tgt, 21.1 TgtSh%Theo Johnson (NYG): 0.12 EPA/tgt, 14.7 TgtSh%Gunnar Helm (TEN): 0.07 EPA/tgt, 10.4 TgtSh%Evan Engram (DEN): 0.05 EPA/tgt, 13.0 TgtSh%Cade Otton (TB): 0.04 EPA/tgt, 15.0 TgtSh%Mark Andrews (BAL): 0.02 EPA/tgt, 17.2 TgtSh%Harold Fannin Jr. (CLE): 0.01 EPA/tgt, 20.5 TgtSh%Jonnu Smith (PIT): 0.01 EPA/tgt, 10.3 TgtSh%Michael Mayer (LV): -0.20 EPA/tgt, 10.1 TgtSh%KittleLovelandStrangeGoedertHenryFreiermuthMcBrideBarnerKelceSchultzParkinsonPittsErtzOkonkwoWarrenEngramOttonAndrewsFanninSmithMayerTarget share (%) →EPA / target →dashed = league avg · ring = regression flag
TETgtTgtSh%EPA/tgtY/TgtaDOTSepYAC+/-Drop%RatTDReg
George Kittle SF6912.6+0.679.106.73.65+0.891.4138.47▼
Colston Loveland CHI8215.4+0.588.709.13.68+0.741.2121.66—
Brenton Strange JAX6011.0+0.529.006.93.91-0.236.7120.13▼
Dallas Goedert PHI8217.7+0.447.217.13.36+0.114.9132.711▼
Hunter Henry NE8718.1+0.438.838.23.02+0.323.4113.67▼
Pat Freiermuth PIT5410.3+0.439.006.03.19+2.360.0119.84—
Trey McBride ARI16927.4+0.437.336.73.06+0.711.2116.511▼
AJ Barner SEA6815.0+0.417.634.44.10+0.782.9114.86—
Travis Kelce KC10819.7+0.377.886.83.21+0.436.593.65▼
Dalton Schultz HOU10619.2+0.357.336.23.77+0.101.9106.53—
Juwan Johnson NO10218.1+0.358.727.63.65+0.095.9111.13—
Brock Bowers LV8617.4+0.277.916.53.05+0.954.7109.67—
Oronde Gadsden II LAC6912.7+0.249.629.03.16+1.357.297.73—
Colby Parkinson LA569.6+0.227.294.43.55+0.445.4121.18—
T.J. Hockenson MIN6614.1+0.216.645.03.75-0.154.5109.33—
Kyle Pitts ATL11822.7+0.217.867.43.55-0.881.7100.55—
Jake Ferguson DAL10216.8+0.195.884.73.31+0.182.0113.28—
Zach Ertz WAS7216.7+0.167.009.12.73-0.766.996.14▼
Chig Okonkwo TEN7914.9+0.167.094.63.86+1.176.393.92▲
Mason Taylor NYJ6513.8+0.155.685.83.25-0.4912.380.91—
Tyler Warren IND11221.1+0.147.295.43.31+0.621.893.54—
Theo Johnson NYG7414.7+0.127.148.33.01-0.516.893.75—
Gunnar Helm TEN5510.4+0.076.495.53.52-0.813.6105.82—
Evan Engram DEN7613.0+0.056.074.44.58-0.0810.586.61▲
Cade Otton TB8115.0+0.047.065.23.50+0.731.286.01▲
Mark Andrews BAL7017.2+0.026.037.32.91-0.414.390.35—
Harold Fannin Jr. CLE10720.5+0.016.836.02.94+1.223.797.56▲
Jonnu Smith PIT5410.3+0.014.114.33.770.003.790.22▲
Michael Mayer LV5010.1-0.206.564.83.45+0.232.069.41▲
Data: nflverse (nflfastR) · NGS · Pro-Football-Reference via nflverse · ▲/▼ = percentile gap between production and open-field profile

The chart plots role against per-target value, league averages on the dashed lines. Because the TE target distribution is so top-heavy, the gap between the true focal points and everyone else is starker here than at receiver — and the regression flags matter more, because TE touchdown rates are the streakiest in football. A tight end riding a red-zone heater carries a ▼ before his props reprice; a ▲ next to a tight end getting open without results is the cheapest buy-low at any position.

How to Read the Board

  • The chart — each dot is a qualifying tight end, target share left to right, EPA per target bottom to top. Top-right is the true focal-point tier; top-left (“efficient in small doses”) is where next season’s breakout usually lives.
  • Green and red chips — top- and bottom-decile values only, direction-adjusted so green is always good, including on Drop%.
  • The Reg column — ▼ marks production ahead of the open-field profile (separation and YAC over expected); ▲ marks profile ahead of production. Hover an arrow for the read.

Tight End Metrics Defined

Target share at tight end runs lower than at receiver — the position blocks too — so the tiers compress: 15% is meaningful involvement, 20%+ makes a tight end the functional number-one option, and the rare 25%+ share is a target-hog season the whole offense runs through.

EPA per target is expected points added per throw his way. Tight ends often post strong per-target EPA on modest volume because their targets skew toward money downs; that’s real value, but it’s also why the volume column has to be read alongside it before touching a prop.

Y/Tgt and aDOT describe the job: seam-stretcher (aDOT 8+), chain-mover (5–8), or outlet (under 5). The prop lines behave differently for each, regardless of the name on the jersey.

Sep (average separation, Next Gen Stats) runs naturally higher at tight end than receiver — the coverage is usually linebackers and safeties — so read it against the other tight ends on this board, not against wideouts. A tight end under 3.0 yards of separation is genuinely covered.

YAC+/- (YAC above expectation) is where athletic tight ends separate from big possession targets: yards created after the catch beyond what tracking expects from the catch situation.

Drop% and Rat come from Pro-Football-Reference charting. Targeted passer rating is particularly telling at this position — a tight end quarterbacks trust in tight windows posts ratings well north of 110 when targeted.

How Bettors Use TE Advanced Stats

  • Receiving props. TE receiving lines are thinner and softer than wide receiver markets — books spend less effort on them. Target share from this board against the line on the receiving props board is the fastest edge check at the position.
  • Anytime TD props. Tight ends are chronically live in the anytime TD market because red-zone usage concentrates on them — but TD rates are streaky, and the regression flags exist precisely to separate a sustainable role from a heater. A ▼ next to a TD-dependent tight end is a fade signal on inflated anytime prices.
  • Season-long. Separation and YAC over expected persist; touchdown totals don’t. The ▲ tight ends with rising target share are the futures and best-ball plays before the market catches up.

Related boards: QB advanced stats · RB advanced stats · WR advanced stats

Where the Data Comes From

Targets, EPA, and share data are built on open-source nflverse (nflfastR) play-by-play, separation and YAC-over-expected come from NFL Next Gen Stats tracking, and drop and targeted-rating charting comes from Pro-Football-Reference via nflverse. The board refreshes every morning. Tight ends qualify at 50 targets; if the early-season list looks thin, that’s the threshold protecting the rate stats, and it fills in by midseason.

Frequently Asked Questions

What is a good target share for a tight end?
Lower than you’d think: 15% is real involvement, 20%+ makes him the functional top option, and 25%+ is a rare target-hog season. TE shares run below receiver shares because the position spends snaps blocking.

Why do tight ends have high EPA per target on low volume?
Because their targets concentrate in high-leverage situations — third downs and the red zone — where a completion moves expected points the most. It’s genuine value, but a strong EPA/tgt on 40 targets is a different bet than the same number on 100.

Are tight end touchdown props a good bet?
They’re a streaky market. Red-zone concentration keeps tight ends live in anytime TD props, but TD rate is the least stable stat at the position — which is exactly what the regression flags on this board are checking. Sustainable role plus ▲ is the profile to back; TD-inflated production with a ▼ is the profile to fade at short prices.

How is separation different for tight ends than receivers?
Tight ends face linebackers and safeties more than corners, so their separation numbers run naturally higher. Compare a tight end to the rest of this board, not to the receiver board — under about 3.0 yards is genuinely tight coverage at the position.

How many targets does a tight end need to appear?
50, same as receivers. The list is shorter at tight end because fewer players hit that volume — it fills in as the season goes.


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