Player stringlengths 8 18 | Receptions int64 78 127 | Yards int64 592 1.71k | Yards/Game int64 2 17 | Yards/Reception int64 3 28 | Touchdowns int64 0 8 | FirstDowns int64 35 97 | 20+Yds int64 30 75 | Catch% float64 38.5 70.4 | Fumbles int64 0 2 | YardsAfterCatch int64 179 787 | Targets int64 87 175 |
|---|---|---|---|---|---|---|---|---|---|---|---|
Ja'Marr Chase | 127 | 1,708 | 17 | 19 | 8 | 70 | 75 | 59.1 | 0 | 787 | 175 |
Amon-Ra St. Brown | 115 | 1,263 | 12 | 14 | 1 | 66 | 71 | 61.7 | 1 | 412 | 141 |
Brock Bowers | 112 | 1,194 | 5 | 15 | 1 | 57 | 61 | 54.5 | 0 | 596 | 153 |
Trey McBride | 111 | 1,146 | 2 | 10 | 0 | 37 | 63 | 56.8 | 0 | 513 | 147 |
Malik Nabers | 109 | 1,204 | 7 | 16 | 2 | 59 | 55 | 50.5 | 1 | 462 | 170 |
Justin Jefferson | 103 | 1,533 | 10 | 28 | 4 | 97 | 62 | 60.2 | 1 | 487 | 154 |
CeeDee Lamb | 101 | 1,194 | 6 | 16 | 4 | 65 | 54 | 53.5 | 1 | 537 | 152 |
Garrett Wilson | 101 | 1,104 | 7 | 16 | 1 | 42 | 60 | 59.4 | 2 | 442 | 154 |
Drake London | 100 | 1,271 | 9 | 12 | 0 | 39 | 67 | 67 | 0 | 327 | 158 |
Jaxon Smith-Njigba | 100 | 1,130 | 6 | 14 | 2 | 46 | 55 | 55 | 1 | 477 | 137 |
DJ Moore | 98 | 966 | 6 | 11 | 1 | 44 | 43 | 43.9 | 1 | 588 | 140 |
Travis Kelce | 97 | 823 | 3 | 9 | 0 | 38 | 45 | 46.4 | 2 | 341 | 133 |
Wan'Dale Robinson | 93 | 699 | 3 | 4 | 0 | 35 | 36 | 38.7 | 0 | 361 | 140 |
Jerry Jeudy | 90 | 1,229 | 4 | 13 | 3 | 89 | 57 | 63.3 | 0 | 387 | 145 |
Jonnu Smith | 88 | 884 | 8 | 4 | 1 | 57 | 55 | 62.5 | 2 | 510 | 111 |
Jakobi Meyers | 87 | 1,027 | 4 | 16 | 1 | 43 | 52 | 59.8 | 0 | 293 | 129 |
Brian Thomas Jr. | 87 | 1,282 | 10 | 18 | 7 | 85 | 53 | 60.9 | 0 | 562 | 133 |
Davante Adams | 85 | 1,063 | 8 | 16 | 3 | 71 | 49 | 57.6 | 0 | 473 | 141 |
Ladd McConkey | 82 | 1,149 | 7 | 15 | 4 | 60 | 52 | 63.4 | 2 | 390 | 112 |
Terry McLaurin | 82 | 1,096 | 13 | 12 | 5 | 86 | 56 | 68.3 | 0 | 292 | 117 |
Tyreek Hill | 81 | 959 | 6 | 13 | 1 | 80 | 54 | 66.7 | 0 | 292 | 123 |
Courtland Sutton | 81 | 1,081 | 8 | 17 | 1 | 47 | 57 | 70.4 | 1 | 179 | 135 |
Puka Nacua | 79 | 990 | 3 | 11 | 1 | 51 | 47 | 59.5 | 0 | 518 | 106 |
De'Von Achane | 78 | 592 | 6 | 3 | 0 | 39 | 30 | 38.5 | 1 | 665 | 87 |
George Kittle | 78 | 1,106 | 8 | 21 | 2 | 43 | 50 | 64.1 | 0 | 522 | 94 |
Dataset Description
This dataset contains statistics for the NFL 2024 receiving yard leaders, with both original measurements and augmented samples. Each row corresponds to a player, with the target variable being TD (touchdowns scored).
- Original split: 30 manually collected samples with real player names.
- Augmented split: 300 synthetic samples with the player name replaced by placeholder values like
Synthetic_Player_1,Synthetic_Player_2, etc., created using data augmentation techniques.
Features
player(string): Player name, or placeholder for augmented dataYds(int32): Total receiving yardsTD(int32): Total touchdowns scored (target variable)20+(int32): Receptions of 20+ yards40+(int32): Receptions of 40+ yardsLNG(int32): Longest receptionRec(int32): Total receptions1st(int32): First down receptions1st%(float32): First down reception percentageRec FUM(int32): Fumbles on receptionsRec YAC/R(float32): Yards after catch per receptionTgts(int32): Total targets
Intended Use
This dataset is suitable for regression or supervised learning tasks, such as predicting touchdowns based on receiving stats. It is also intended for educational purposes, including exploring feature importance, synthetic data generation, and supervised learning workflows.
Limitations
- Original split is small (30 samples) and represents only top-performing players.
- Augmented split uses synthetic player names and may not fully represent real-world distributions.
Citation
If you use this dataset, please cite:
"Collected NFL 2024 Receiving Yard Leaders Dataset, augmented for educational purposes in a machine learning coursework project."
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