George Kittle is one of the most consistent tight ends of his generation — a player whose career coefficient of variation places him among the most reliable performers at the position. Year in, year out, Kittle delivered without dramatic peaks or valleys — the kind of player who earns trust, not headlines.
A top 1% all-time tight end with excellent availability over their career and elite per-snap production (top 5% in their position group). The rarest archetype in the game — dominance, efficiency, and health in one player.
Worth 367 points of value above a freely-available replacement tight end — top 2% of all 4,642 ranked at the position. 9 of 9 seasons cleared the replacement bar, by +40.8 on average.See board →
Seasons above replacement
9 seasons × ~40.8 surplus ≈ VORP 367
The full season-by-season grids, joined on one timeline. Every selected stat family stays visible at once—no tab hopping.
| Season | Age | Team | G | GS | Receiving | Rushing | Defense | Snap Counts | ||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Tgt | Rec | Yds | TD | Ctch% | Y/R | Y/Tgt | AirYd/T | 1D | Att | Yds | TD | Y/A | TD% | 1D | 1D% | Fmb | Tkl | Solo | Ast | TFL | QBHits | Sk | Dis | Int | PD | FF | FR | TD | Sfty | Off | Off% | Def | Def% | ST | ST% | |||||
| 2017 | — | SF | 15 | — | 63 | 43 | 515 | 2 | 68.3% | 12.0 | 8.2 | — | 22 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 592 | 57.9% | — | 0.0% | 6 | 6.3% |
| 2017 | — | ARI | 1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 | — | — | — | — | — | — |
| 2018 | — | SF | 16 | — | 136 | 88 | 1,377 | 5 | 64.7% | 15.6 | 10.1 | — | 60 | 1 | 10 | 0 | 10.0 | 0.0 | 1 | 100.0 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | — | 929 | 87.6% | — | 0.0% | 1 | 4.0% |
| 2018 | — | LA | 2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2 | 2 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 | — | — | — | — | — | — |
| 2019 | — | SF | 14 | — | 107 | 85 | 1,053 | 5 | 79.4% | 12.4 | 9.8 | — | 53 | 5 | 22 | 0 | 4.4 | 0.0 | 1 | 20.0 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | — | 804 | 88.6% | — | 0.0% | 2 | 3.5% |
| 2019 | — | NO | 5 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 6 | 6 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 | — | — | — | — | — | — |
| 2020 | — | SF | 8 | — | 63 | 48 | 634 | 2 | 76.2% | 13.2 | 10.1 | — | 32 | 2 | 17 | 0 | 8.5 | 0.0 | 1 | 50.0 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | — | 443 | 82.9% | — | 0.0% | 1 | 4.0% |
| 2021 | — | SF | 14 | — | 94 | 71 | 910 | 6 | 75.5% | 12.8 | 9.7 | — | 42 | 3 | 20 | 0 | 6.7 | 0.0 | 0 | 0.0 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | — | 840 | 91.9% | — | 0.0% | 5 | 4.8% |
| 2021 | — | LA | 2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 2 | 2 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 | — | — | — | — | — | — |
| 2022 | — | SF | 15 | — | 86 | 60 | 765 | 11 | 69.8% | 12.8 | 8.9 | — | 36 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 859 | 89.6% | — | 0.0% | 3 | 4.0% |
| 2022 | — | LV | 3 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 3 | 3 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 1 | — | 0 | 0 | — | — | — | — | — | — |
| 2023 | — | SF | 16 | — | 90 | 65 | 1,020 | 6 | 72.2% | 15.7 | 11.3 | — | 42 | 1 | 2 | 0 | 2.0 | 0.0 | 1 | 100.0 | 0 | — | — | — | — | — | — | — | — | — | — | — | — | — | 895 | 89.5% | — | 0.0% | 2 | 3.5% |
| 2023 | — | CIN | 1 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 1 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 | — | — | — | — | — | — |
| 2024 | — | SF | 15 | — | 94 | 78 | 1,106 | 8 | 83.0% | 14.2 | 11.8 | — | 50 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 808 | 86.6% | — | 0.0% | — | 0.0% |
| 2024 | — | BUF | 2 | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | 3 | 3 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 | — | — | — | — | — | — |
| 2025 | — | SF | 11 | — | 69 | 57 | 628 | 7 | 82.6% | 11.0 | 9.1 | — | 38 | 1 | -3 | 0 | -3.0 | 0.0 | 0 | 0.0 | 0 | 1 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 | 554 | 81.2% | — | 0.0% | — | 0.0% |
| Career | — | 140 | — | 802 | 595 | 8,008 | 52 | 74.2% | 13.5 | 10.0 | — | 375 | 13 | 68 | 0 | 5.2 | 0.0 | 4 | 30.8 | 0 | 19 | 19 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 1 | — | 0 | 0 | 6,724 | 84.0% | — | 0.0% | 20 | 4.3% | |
| Season | Age | Team | G | GS | Att | Yds | TD | Y/A | TD% | 1D | 1D% | Fmb | VAL |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 25 | SF | 16 | 14* | 1 | 10 | 0 | 10.0 | 0.0 | 1 | 100.0 | 0 | 21.3 |
| 2019 | 26 | SF | 14 | 12* | 5 | 22 | 0 | 4.4 | 0.0 | 1 | 20.0 | 0 | 19.4 |
| 2020 | 27 | SF | 8 | 7* | 2 | 17 | 0 | 8.5 | 0.0 | 1 | 50.0 | 0 | 9.9 |
| 2021 | 28 | SF | 14 | 13* | 3 | 20 | 0 | 6.7 | 0.0 | 0 | 0.0 | 0 | 17 |
| 2023 | 30 | SF | 16 | 14* | 1 | 2 | 0 | 2.0 | 0.0 | 1 | 100.0 | 0 | 19.1 |
| 2025 | 32 | SF | 11 | 9* | 1 | -3 | 0 | -3.0 | 0.0 | 0 | 0.0 | 0 | 15 |
| Career | 79 | 69* | 13 | 68 | 0 | 5.2 | — | 4 | — | 0 | 154.8 |
* GS not available from free sources — SG* estimated from snap share (nflverse 2012+)
| Season | Age | Team | G | GS | Tgt | Rec | Yds | TD | Ctch% | Y/R | Y/Tgt | AirYd/T | 1D |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | 24 | SF | 15 | 9* | 63 | 43 | 515 | 2 | 68.3% | 12.0 | 8.2 | — | 22 |
| 2018 | 25 | SF | 16 | 14* | 136 | 88 | 1,377 | 5 | 64.7% | 15.6 | 10.1 | — | 60 |
| 2019 | 26 | SF | 14 | 12* | 107 | 85 | 1,053 | 5 | 79.4% | 12.4 | 9.8 | — | 53 |
| 2020 | 27 | SF | 8 | 7* | 63 | 48 | 634 | 2 | 76.2% | 13.2 | 10.1 | — | 32 |
| 2021 | 28 | SF | 14 | 13* | 94 | 71 | 910 | 6 | 75.5% | 12.8 | 9.7 | — | 42 |
| 2022 | 29 | SF | 15 | 13* | 86 | 60 | 765 | 11 | 69.8% | 12.8 | 8.9 | — | 36 |
| 2023 | 30 | SF | 16 | 14* | 90 | 65 | 1,020 | 6 | 72.2% | 15.7 | 11.3 | — | 42 |
| 2024 | 31 | SF | 15 | 13* | 94 | 78 | 1,106 | 8 | 83.0% | 14.2 | 11.8 | — | 50 |
| 2025 | 32 | SF | 11 | 9* | 69 | 57 | 628 | 7 | 82.6% | 11.0 | 9.1 | — | 38 |
| Career | 124 | 104* | 802 | 595 | 8,008 | 52 | 74.2% | 13.5 | 10.0 | — | 375 |
* GS not available from free sources — SG* estimated from snap share (nflverse 2012+)
| Season | Age | Team | G | GS | Tkl | Solo | Ast | TFL | QBHits | Sk | Dis | Int | PD | FF | FR | TD | Sfty |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | 24 | ARI | 1 | 1* | 1 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 |
| 2018 | 25 | LA | 2 | 2* | 2 | 2 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 |
| 2019 | 26 | NO | 5 | 5* | 6 | 6 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 |
| 2021 | 28 | LA | 2 | 2* | 2 | 2 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 |
| 2022 | 29 | LV | 3 | 3* | 3 | 3 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 1 | — | 0 | 0 |
| 2023 | 30 | CIN | 1 | 1* | 1 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 |
| 2024 | 31 | BUF | 2 | 2* | 3 | 3 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 |
| 2025 | 32 | SF | 1 | 1* | 1 | 1 | 0 | 0 | 0 | 0.0 | 0.0 | 0 | 0 | 0 | — | 0 | 0 |
| Career | 17 | 17* | 19 | 19 | 0 | 0 | 0 | — | — | 0 | 0 | 1 | — | 0 | 0 |
* GS not available from free sources — SG* estimated from snap share (nflverse 2012+)
| Season | Age | Team | G | GS | Off | Off% | Def | Def% | ST | ST% |
|---|---|---|---|---|---|---|---|---|---|---|
| 2017 | 24 | SF | 15 | 9* | 592 | 57.9% | — | 0.0% | 6 | 6.3% |
| 2018 | 25 | SF | 16 | 14* | 929 | 87.6% | — | 0.0% | 1 | 4.0% |
| 2019 | 26 | SF | 14 | 12* | 804 | 88.6% | — | 0.0% | 2 | 3.5% |
| 2020 | 27 | SF | 8 | 7* | 443 | 82.9% | — | 0.0% | 1 | 4.0% |
| 2021 | 28 | SF | 14 | 13* | 840 | 91.9% | — | 0.0% | 5 | 4.8% |
| 2022 | 29 | SF | 15 | 13* | 859 | 89.6% | — | 0.0% | 3 | 4.0% |
| 2023 | 30 | SF | 16 | 14* | 895 | 89.5% | — | 0.0% | 2 | 3.5% |
| 2024 | 31 | SF | 15 | 13* | 808 | 86.6% | — | 0.0% | — | 0.0% |
| 2025 | 32 | SF | 11 | 9* | 554 | 81.2% | — | 0.0% | — | 0.0% |
| Career | 124 | 104* | 6,724 | — | — | — | 20 | — |
* GS not available from free sources — SG* estimated from snap share (nflverse 2012+)
| Season | Age | Team | G | GS | Pass EPA | Rush EPA | Rec EPA | Pass AirYd | Rec AirYd |
|---|---|---|---|---|---|---|---|---|---|
| 2017 | 24 | — | — | 9* | — | — | 14.0 | 0 | 434 |
| 2018 | 25 | — | — | 14* | — | 0.5 | 65.2 | 0 | 996 |
| 2019 | 26 | — | — | 12* | — | -2.1 | 58.1 | 0 | 633 |
| 2020 | 27 | — | — | 7* | — | 1.3 | 37.2 | 0 | 460 |
| 2021 | 28 | — | — | 13* | — | 1.7 | 24.6 | 0 | 777 |
| 2022 | 29 | — | — | 13* | — | — | 39.6 | 0 | 550 |
| 2023 | 30 | — | — | 14* | — | 0.6 | 59.7 | 0 | 852 |
| 2024 | 31 | — | — | 13* | — | — | 67.9 | 0 | 800 |
| Career | 95* | — | — | — | 0 | 5,502 |
* GS not available from free sources — SG* estimated from snap share (nflverse 2012+)
| Season | Age | Team | G | GS | YBC | YBC/Att | YAC | YAC/Att | BrkTkl | Att/Br | 1D |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 25 | SF | 16 | 14* | 10 | 10.0 | 0 | 0.0 | 0 | — | 1 |
| 2019 | 26 | SF | 14 | 12* | 14 | 2.8 | 8 | 1.6 | 0 | — | 1 |
| 2020 | 27 | SF | 8 | 7* | 4 | 2.0 | 13 | 6.5 | 0 | — | 1 |
| 2021 | 28 | SF | 14 | 13* | 11 | 3.7 | 9 | 3.0 | 0 | — | 0 |
| 2023 | 30 | SF | 16 | 14* | 1 | 1.0 | 1 | 1.0 | 0 | — | 1 |
| 2025 | 32 | SF | 11 | 9* | -3 | -3.0 | 0 | 0.0 | 0 | — | 0 |
| Career | 79 | 69* | 37 | — | 31 | — | 0 | — | 4 |
* GS not available from free sources — SG* estimated from snap share (nflverse 2012+)
| Season | Age | Team | G | GS | ADOT | YBC/R | YAC/R | BrkTkl | Drops | Drop% | 1D | TgtRate |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 2018 | 25 | SF | 16 | 14* | 7.1 | 5.8 | 9.9 | 9 | 5 | 0.0 | 60 | 101.3 |
| 2019 | 26 | SF | 14 | 12* | 5.9 | 5.3 | 7.1 | 8 | 2 | 0.0 | 53 | 119.4 |
| 2020 | 27 | SF | 8 | 7* | 7.3 | 7.0 | 6.2 | 1 | 5 | 0.1 | 32 | 104.9 |
| 2021 | 28 | SF | 14 | 13* | 8.3 | 6.5 | 6.3 | 8 | 2 | 0.0 | 42 | 100.0 |
| 2022 | 29 | SF | 15 | 13* | 6.5 | 6.4 | 6.4 | 4 | 3 | 0.0 | 36 | 127.2 |
| 2023 | 30 | SF | 16 | 14* | 9.5 | 8.3 | 7.4 | 5 | 4 | 0.0 | 42 | 122.5 |
| 2024 | 31 | SF | 15 | 13* | 8.1 | 7.5 | 6.7 | 4 | 2 | 0.0 | 50 | 135.2 |
| 2025 | 32 | SF | 11 | 9* | 6.7 | 6.6 | 4.4 | 2 | 1 | 0.0 | 38 | 138.4 |
| Career | 109 | 95* | — | — | — | 41 | 24 | — | 353 | — |
* GS not available from free sources — SG* estimated from snap share (nflverse 2012+)
A all-time great career by KV-H: a peak-driven profile that scores 95 of 100, era-normalized against rec yds/g peers across 9 scored seasons.
Blend 91 × longevity 1 = KV-H 95· confidence 100%
Season-by-season quality (era-relative rec yds/g)
Ranked #69 of 600 by seasons where high individual production happened on low-win teams. Score aggregates only tracked StatVault categories.
Reached 38% of the all-time Receptions leader — a solid all-time profile at the position.
A 0–100 scale where 100 = matched the all-time leaderat this position. Built only from visible encyclopedia data — career production vs. the all-time leader, plus efficiency (EPA) and comparable-player confidence — so it's a transparent context score, not a subjective rating. Tiers: Elite ≥ 85 · Strong ≥ 65 · Solid ≥ 45 · Depth < 45. Comparable-player confidence: 96%.
Production per snap — the box score normalized by opportunity. SIS is z-scored within tight ends, shrinkage-regularized so small samples don't spike, over the NFL snap-count era (2012+).
Amber = this player (normalized to own peak). Indigo = average tight ends aging curve. Group peak age: 25. Source: StatVault KV-H era (1999+).
Percentiles compare each raw measurement against position peers, the full combine pool, and the same draft class where enough samples exist.
Career teammates and draft class, derived from year-by-year rosters — every name is linked.
George inherited the San Francisco 49ers TE room from Vance McDonald (2013–2016), and holds it as the most recent the corpus records.
Statistical + physical similarity across every player in the database, position-relevant (0–100%).
Last recorded season with SF
Drafted by SF — Round 5, Pick 146
From nflverse weekly injury reports · coverage begins 2009.
| Season | Team | Games Out | Designations |
|---|---|---|---|
| 2024 | SF | 0 | W3Doubtful· HamstringW5Questionable· RibsW8Questionable· FootW11Questionable· HamstringW18Questionable· Ankle / Hamstring |
| 2023 | SF | 0 | W1Questionable· Groin |
| 2022 | SF | 0 | W1Questionable· GroinW2Questionable· Groin |
| 2021 | SF | 0 | W4Questionable· CalfW5Doubtful· Calf |
| 2020 | SF | 3 | W2Out· KneeW3Out· KneeW9Out· Foot |
| 2019 | SF | 0 | W6Questionable· GroinW10Doubtful· Knee / AnkleW11Doubtful· Knee / AnkleW12Questionable· Knee / Ankle |
| 2018 | SF | 0 | W6Questionable· Knee |
| 2017 | SF | 1 | W1Questionable· HamstringW3Questionable· HipW10Out· Ankle |
StatVault's proprietary player intelligence, informed by full career data. How Knox works →
Era-normalized career quality — z-scored against 9-season peers. See all →
Career durability — games played vs. scheduled, across 9 seasons.
Rec Yds translated to the 2025NFL — each season's standing among its own-era peers, projected onto 2025's scoring environment. Modern-era (1999+) coverage.
| Season | Actual Rec Yds | Rec Yds/G | → 2025 Rec Yds | → 2025 /G |
|---|---|---|---|---|
| 2017 | 515 | 34.3 | 601+86 | 35.3 |
| 2018 | 1,377 | 86.1 | 1,614+237 | 94.9 |
| 2019 | 1,053 | 75.2 | 1,468+415 | 86.4 |
| 2020 | 634 | 79.3 | 1,513+879 | 89 |
| 2021 | 910 | 65 | 1,216+306 | 71.5 |
| 2022 | 765 | 51 | 923+158 | 54.3 |
| 2023 | 1,020 | 63.8 | 1,132+112 | 66.6 |
| 2024 | 1,106 | 73.7 | 1,299+193 | 76.4 |
| 2025 | 628 | 57.1 | 971+343 | 57.1 |
Data: nflverse:players, nflverse:player_stats, nflverse:player_stats_def, nflverse:snap_counts, nflverse:combine, nflverse:draft_picks, nflverse:advanced-epa (CC-BY 4.0), nflverse:injuries, wikipedia:college-stats (CC-BY-SA, facts-only) · multi-source verified via the StatVault Oracle · updated 6/18/2026
Career Value · VORP
367 career value over replacement — #61 all-time of 4,642. 40.8/season above a replacement-level TE.
Career Profile
Pick #146 (Rd 5) · SF · 2017 · +62 vs expected KV-H
Fan Rating
Rate George Kittle — All-Time
Explore More
Similar Players
Composite score across availability, IR frequency, and injury severity. See all →
Calibrated Hall-of-Fame probability — fit against actual enshrinement. See all →
What carries the case
Monitor score 102.6 · components sum to the score (All-Pro ×12 · Pro Bowl ×3 · League Lead ×4 · ranks/era/longevity weighted).
To reach 50% HOF probability (score target: 110.8 · current: 102.6 · gap: +8.2)
Paths ranked cheapest first · accolade-based, data-calibrated vs actual enshrinement
Career Fingerprint
Statistical profile across 5 dimensions
Best single season, projected to Receiving Yards (TE) in a modern 17-game schedule. See all →
The room is reconstructed from arrival order among durable members (≥4 seasons with the club) at the player’s position group — a lineage by arrival, not a week-by-week depth chart. Distinct from the league-wide positional GOAT torch.
Mark Bavaro
TE
95% match
2017 Draft ClassmatesFull class →
Gave the San Francisco 49ers an entire corpus-attributed career — 9 seasons (2017–2025), one crest. The rarest loyalty in the sport.