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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