{
    "source": "The GNG, Pigskin rankings",
    "url": "https://www.thegng.us/ranks?profile=standard&pos=TE",
    "license": "Free to use with attribution and a link to https://www.thegng.us/ranks",
    "profile": "standard",
    "profile_label": "Standard",
    "board": "TE",
    "board_label": "TE",
    "generated_at": "2026-07-27T11:36:07Z",
    "synced_at": "2026-07-27T12:17:17Z",
    "board_version": "unified-fable-v1-standard-20260727113557",
    "count": 35,
    "notes": {
        "projected_ppg": "Null on positional boards; only the overall board carries it.",
        "rank_delta": "Change against the previous rebuild. Null when the player is new to the board.",
        "score": "Pigskin score, 0 to 100, comparable within a board but not across scoring profiles."
    },
    "players": [
        {
            "rank": 1,
            "position_rank": null,
            "player": "Trey McBride",
            "position": "TE",
            "team": "ARI",
            "tier": "elite",
            "score": 99,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Trey McBride earns TE1 with 41.1 routes per game, 27.4% target share and 1.91 red-zone targets per game. His 1.77 YPRR and 0.24 targets per route support the efficiency case. 0.38 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 2,
            "position_rank": null,
            "player": "Brock Bowers",
            "position": "TE",
            "team": "LV",
            "tier": "elite",
            "score": 80.7,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Brock Bowers earns TE2 with 33.5 routes per game, 23.6% target share and 1.40 red-zone targets per game. His 1.69 YPRR and 0.21 targets per route support the efficiency case. Availability is the clear risk after a 71% games-played rate."
        },
        {
            "rank": 3,
            "position_rank": null,
            "player": "Tucker Kraft",
            "position": "TE",
            "team": "GB",
            "tier": "elite",
            "score": 79.5,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Tucker Kraft earns TE3 with 26.9 routes per game, 18.8% target share and 1.52 red-zone targets per game. His 2.27 YPRR and 0.20 targets per route reinforce the efficiency case. Availability is the clear risk after a 47% games-played rate."
        },
        {
            "rank": 4,
            "position_rank": null,
            "player": "George Kittle",
            "position": "TE",
            "team": "SF",
            "tier": "elite",
            "score": 75.5,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "George Kittle earns TE4 with 26.5 routes per game, 21.6% target share and 1.18 red-zone targets per game. His 2.15 YPRR and 0.24 targets per route reinforce the efficiency case. Availability is the clear risk after a 65% games-played rate."
        },
        {
            "rank": 5,
            "position_rank": null,
            "player": "Kyle Pitts",
            "position": "TE",
            "team": "ATL",
            "tier": "elite",
            "score": 73.7,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Kyle Pitts earns TE5 with 32.3 routes per game, 22.7% target share and 0.71 red-zone targets per game. His 1.69 YPRR and 0.21 targets per route support the efficiency case. 0.16 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 6,
            "position_rank": null,
            "player": "Tyler Warren",
            "position": "TE",
            "team": "IND",
            "tier": "front-line starter",
            "score": 73.6,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Tyler Warren earns TE6 with 30.4 routes per game, 21.1% target share and 1.22 red-zone targets per game. His 1.58 YPRR and 0.22 targets per route support the efficiency case. 0.19 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 7,
            "position_rank": null,
            "player": "Jake Ferguson",
            "position": "TE",
            "team": "DAL",
            "tier": "front-line starter",
            "score": 72.7,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Jake Ferguson earns TE7 with 29.5 routes per game, 16.8% target share and 1.41 red-zone targets per game. At 1.20 YPRR, route volume carries more of the ranking. 0.28 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 8,
            "position_rank": null,
            "player": "Hunter Henry",
            "position": "TE",
            "team": "NE",
            "tier": "front-line starter",
            "score": 71.7,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Hunter Henry earns TE8 with 27.4 routes per game, 18.1% target share and 1.28 red-zone targets per game. His 1.65 YPRR and 0.19 targets per route support the efficiency case. 0.25 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 9,
            "position_rank": null,
            "player": "Dallas Goedert",
            "position": "TE",
            "team": "PHI",
            "tier": "front-line starter",
            "score": 70.9,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Dallas Goedert earns TE9 with 28.7 routes per game, 20.1% target share and 0.99 red-zone targets per game. At 1.37 YPRR, route volume carries more of the ranking. 0.32 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 10,
            "position_rank": null,
            "player": "Harold Fannin",
            "position": "TE",
            "team": "CLE",
            "tier": "front-line starter",
            "score": 67.9,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Harold Fannin earns TE10 with 27.6 routes per game, 21.4% target share and 0.63 red-zone targets per game. His 1.65 YPRR and 0.24 targets per route support the efficiency case. 0.17 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 11,
            "position_rank": null,
            "player": "Sam LaPorta",
            "position": "TE",
            "team": "DET",
            "tier": "front-line starter",
            "score": 67,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Sam LaPorta earns TE11 with 27.7 routes per game, 18.6% target share and 0.67 red-zone targets per game. His 1.96 YPRR and 0.20 targets per route reinforce the efficiency case. Availability is the clear risk after a 53% games-played rate."
        },
        {
            "rank": 12,
            "position_rank": null,
            "player": "Colston Loveland",
            "position": "TE",
            "team": "CHI",
            "tier": "front-line starter",
            "score": 66,
            "projected_ppg": null,
            "rank_delta": 2,
            "verdict": "Colston Loveland earns TE12 with 24.4 routes per game, 16.5% target share and 0.88 red-zone targets per game. His 1.82 YPRR and 0.21 targets per route reinforce the efficiency case. 0.20 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 13,
            "position_rank": null,
            "player": "Colby Parkinson",
            "position": "TE",
            "team": "LAR",
            "tier": "starter",
            "score": 65.9,
            "projected_ppg": null,
            "rank_delta": -1,
            "verdict": "Colby Parkinson earns TE13 with 18.1 routes per game, 10.7% target share and 1.59 red-zone targets per game. His 1.61 YPRR and 0.22 targets per route support the efficiency case. 0.33 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 14,
            "position_rank": null,
            "player": "Theo Johnson",
            "position": "TE",
            "team": "NYG",
            "tier": "starter",
            "score": 65.6,
            "projected_ppg": null,
            "rank_delta": -1,
            "verdict": "Theo Johnson earns TE14 with 29.4 routes per game, 16.7% target share and 0.95 red-zone targets per game. At 1.20 YPRR, route volume carries more of the ranking. 0.19 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 15,
            "position_rank": null,
            "player": "Dalton Schultz",
            "position": "TE",
            "team": "HOU",
            "tier": "starter",
            "score": 65.4,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Dalton Schultz earns TE15 with 29.8 routes per game, 19.2% target share and 0.63 red-zone targets per game. His 1.53 YPRR and 0.21 targets per route support the efficiency case. 0.11 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 16,
            "position_rank": null,
            "player": "Brenton Strange",
            "position": "TE",
            "team": "JAX",
            "tier": "starter",
            "score": 64.8,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Brenton Strange earns TE16 with 26.7 routes per game, 15.8% target share and 0.86 red-zone targets per game. His 1.69 YPRR and 0.19 targets per route support the efficiency case. Availability is the clear risk after a 71% games-played rate."
        },
        {
            "rank": 17,
            "position_rank": null,
            "player": "Travis Kelce",
            "position": "TE",
            "team": "KC",
            "tier": "starter",
            "score": 64.7,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Travis Kelce earns TE17 with 34.5 routes per game, 19.7% target share and 0.68 red-zone targets per game. His 1.45 YPRR and 0.18 targets per route support the efficiency case. 0.16 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 18,
            "position_rank": null,
            "player": "Juwan Johnson",
            "position": "TE",
            "team": "NO",
            "tier": "starter",
            "score": 64.4,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Juwan Johnson earns TE18 with 31.4 routes per game, 18.1% target share and 0.49 red-zone targets per game. His 1.66 YPRR and 0.19 targets per route support the efficiency case. 0.10 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 19,
            "position_rank": null,
            "player": "Dalton Kincaid",
            "position": "TE",
            "team": "BUF",
            "tier": "starter",
            "score": 63.9,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Dalton Kincaid earns TE19 with 17.2 routes per game, 14.6% target share and 0.67 red-zone targets per game. His 2.77 YPRR and 0.24 targets per route reinforce the efficiency case. Availability is the clear risk after a 71% games-played rate."
        },
        {
            "rank": 20,
            "position_rank": null,
            "player": "Oronde Gadsden",
            "position": "TE",
            "team": "LAC",
            "tier": "starter",
            "score": 63.3,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Oronde Gadsden earns TE20 with 26.9 routes per game, 14.3% target share and 1.01 red-zone targets per game. His 1.64 YPRR and 0.17 targets per route support the efficiency case. 0.16 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 21,
            "position_rank": null,
            "player": "Cade Otton",
            "position": "TE",
            "team": "TB",
            "tier": "starter",
            "score": 60.9,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "Cade Otton earns TE21 with 36.1 routes per game, 15.9% target share and 0.41 red-zone targets per game. At 1.06 YPRR, route volume carries more of the ranking. 0.06 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 22,
            "position_rank": null,
            "player": "Mark Andrews",
            "position": "TE",
            "team": "BAL",
            "tier": "starter",
            "score": 59,
            "projected_ppg": null,
            "rank_delta": 1,
            "verdict": "Mark Andrews earns TE22 with 20.6 routes per game, 17.2% target share and 0.87 red-zone targets per game. At 1.20 YPRR, route volume carries more of the ranking. 0.17 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 23,
            "position_rank": null,
            "player": "A.J. Barner",
            "position": "TE",
            "team": "SEA",
            "tier": "starter",
            "score": 58.9,
            "projected_ppg": null,
            "rank_delta": 1,
            "verdict": "A.J. Barner earns TE23 with 21.6 routes per game, 15.0% target share and 0.78 red-zone targets per game. His 1.41 YPRR and 0.18 targets per route support the efficiency case. 0.18 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 24,
            "position_rank": null,
            "player": "T.J. Hockenson",
            "position": "TE",
            "team": "MIN",
            "tier": "starter",
            "score": 58,
            "projected_ppg": null,
            "rank_delta": 1,
            "verdict": "T.J. Hockenson earns TE24 with 28.6 routes per game, 15.6% target share and 0.74 red-zone targets per game. At 1.02 YPRR, route volume carries more of the ranking. 0.13 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 25,
            "position_rank": null,
            "player": "Mason Taylor",
            "position": "TE",
            "team": "NYJ",
            "tier": "flex or matchup",
            "score": 56.9,
            "projected_ppg": null,
            "rank_delta": 1,
            "verdict": "Mason Taylor earns TE25 with 27.7 routes per game, 18.5% target share and 0.61 red-zone targets per game. At 1.03 YPRR, route volume carries more of the ranking. Availability is the clear risk after a 76% games-played rate."
        },
        {
            "rank": 26,
            "position_rank": null,
            "player": "Jake Tonges",
            "position": "TE",
            "team": "SF",
            "tier": "flex or matchup",
            "score": 55.5,
            "projected_ppg": null,
            "rank_delta": 2,
            "verdict": "Jake Tonges earns TE26 with 23.3 routes per game, 8.4% target share and 0.70 red-zone targets per game. At 1.26 YPRR, route volume carries more of the ranking. Availability is the clear risk after a 59% games-played rate."
        },
        {
            "rank": 27,
            "position_rank": null,
            "player": "Greg Dulcich",
            "position": "TE",
            "team": "MIA",
            "tier": "flex or matchup",
            "score": 55.4,
            "projected_ppg": null,
            "rank_delta": 3,
            "verdict": "Greg Dulcich earns TE28 with 16.4 routes per game, 13.4% target share and 0.66 red-zone targets per game. His 2.26 YPRR and 0.22 targets per route reinforce the efficiency case. Availability is the clear risk after a 53% games-played rate."
        },
        {
            "rank": 28,
            "position_rank": null,
            "player": "Chigoziem Okonkwo",
            "position": "TE",
            "team": "WAS",
            "tier": "flex or matchup",
            "score": 55.2,
            "projected_ppg": null,
            "rank_delta": 3,
            "verdict": "Chigoziem Okonkwo earns TE27 with 24.6 routes per game, 14.9% target share and 0.30 red-zone targets per game. At 1.34 YPRR, route volume carries more of the ranking. 0.06 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 29,
            "position_rank": null,
            "player": "David Njoku",
            "position": "TE",
            "team": "LAC",
            "tier": "flex or matchup",
            "score": 55.1,
            "projected_ppg": null,
            "rank_delta": 0,
            "verdict": "David Njoku earns TE29 with 25.3 routes per game, 11.9% target share and 0.81 red-zone targets per game. At 1.05 YPRR, route volume carries more of the ranking. Availability is the clear risk after a 65% games-played rate."
        },
        {
            "rank": 30,
            "position_rank": null,
            "player": "Pat Freiermuth",
            "position": "TE",
            "team": "PIT",
            "tier": "flex or matchup",
            "score": 55,
            "projected_ppg": null,
            "rank_delta": 2,
            "verdict": "Pat Freiermuth earns TE30 with 21.1 routes per game, 10.3% target share and 0.60 red-zone targets per game. His 1.54 YPRR and 0.17 targets per route support the efficiency case. 0.14 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 31,
            "position_rank": null,
            "player": "Evan Engram",
            "position": "TE",
            "team": "DEN",
            "tier": "flex or matchup",
            "score": 54.4,
            "projected_ppg": null,
            "rank_delta": 2,
            "verdict": "Evan Engram earns TE31 with 23.0 routes per game, 13.6% target share and 0.64 red-zone targets per game. At 1.25 YPRR, route volume carries more of the ranking. 0.08 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 32,
            "position_rank": null,
            "player": "Dawson Knox",
            "position": "TE",
            "team": "BUF",
            "tier": "flex or matchup",
            "score": 51.6,
            "projected_ppg": null,
            "rank_delta": 2,
            "verdict": "Dawson Knox earns TE32 with 19.8 routes per game, 10.2% target share and 0.75 red-zone targets per game. At 1.32 YPRR, route volume carries more of the ranking. 0.15 blended TDs per game shape the scoring outlook."
        },
        {
            "rank": 33,
            "position_rank": null,
            "player": "Michael Mayer",
            "position": "TE",
            "team": "LV",
            "tier": "flex or matchup",
            "score": 50.4,
            "projected_ppg": null,
            "rank_delta": 3,
            "verdict": "Michael Mayer earns TE33 with 17.3 routes per game, 12.9% target share and 0.46 red-zone targets per game. His 1.46 YPRR and 0.22 targets per route support the efficiency case. Availability is the clear risk after a 76% games-played rate."
        },
        {
            "rank": 34,
            "position_rank": null,
            "player": "Tyler Higbee",
            "position": "TE",
            "team": "LAR",
            "tier": "flex or matchup",
            "score": 50.2,
            "projected_ppg": null,
            "rank_delta": 1,
            "verdict": "Tyler Higbee earns TE34 with 19.1 routes per game, 11.2% target share and 0.82 red-zone targets per game. His 1.47 YPRR and 0.19 targets per route support the efficiency case. Availability is the clear risk after a 59% games-played rate."
        },
        {
            "rank": 35,
            "position_rank": null,
            "player": "Darnell Washington",
            "position": "TE",
            "team": "PIT",
            "tier": "flex or matchup",
            "score": 50,
            "projected_ppg": null,
            "rank_delta": 2,
            "verdict": "Darnell Washington earns TE35 with 16.7 routes per game, 9.0% target share and 0.61 red-zone targets per game. His 1.68 YPRR and 0.20 targets per route support the efficiency case. Availability is the clear risk after a 76% games-played rate."
        }
    ]
}