NFL Analytics Dashboard2026 · Week 4
Oct 1, 7:05 PM EDT
Slate

Kene Nwangwu

RB
73% to playdepth unsupported
Game
2026 wk 4
Total
43.5
Implied team total
20.0
Depth
#1
Recent snaps
10%

28 yrs · 6′1″, 210 lb · Iowa State · 2021 rd 4 pk 119

Projections

MarketProjectionLikely rangeFair oddsEvidence
Rushing
Rushing yards8.00.0 – 31.8–Solid
Rush attempts1.90.0 – 8.0–Solid
Longest rush8.51.0 – 18.3–Solid
Receiving
Receiving yards4.40.0 – 11.4–Solid
Receptions0.70.0 – 1.8–Solid
Longest reception9.40.7 – 20.2–Little to go on
Rush + rec yards12.40.0 – 42.7–Solid
Touchdowns
Anytime TD4.3%no range+2205Solid
First TD scorer2.2%no range+4412Solid

Form

WindowGPCarRush ydRush TDTgtRecRec ydRZ tchSnap%PPR
Last 334.316.30.000.30.00.03.0017%1.6
Last 552.69.80.000.20.00.03.0010%1.0
Last 10101.34.90.000.10.00.03.005%1.1

Per-game averages over completed games, newest first. Windows match the rolling features the models are trained on.

Career by season · totals

WindowGPCarRush ydRush TDTgtRecRec ydRZ tchSnap%PPR
2025101349010035%11
20242000000–1%6
202385130000–2%1
20221491402221–2%12
202191361054955%23

Per-game averages over completed games, newest first. Windows match the rolling features the models are trained on.

Injury history

8 injury entries across 6 seasons · 10 weeks ruled out or doubtful · most often hamstring

2026Back×3
2025Hamstring×5Concussion
2024Hand
2023BackIllness
2022Illness
2021Illness

Model track record

out-of-sample, 2019 onwards
MarketGradedIn bandAvg missvs form
Anytime TD445% vs 0%0.0-0.0
Rushing yards4498%5.8-1.8
Receptions4493%0.4-0.1
Receiving yards4495%2.8-1.5
Rush attempts4495%1.3-0.2
Rush + rec yards4498%8.1-3.1
First TD scorer162% vs 0%0.0-0.0
Longest rush1385%4.5+0.8
Longest reception4100%4.7+0.8

Out-of-sample: each prediction came from a model trained only on earlier seasons. In band should sit near 80% where a band exists — that is the calibration claim, checkable here. It is tinted only when it strays further than sampling noise explains, which for one player is roughly ±7 points. vs form is how much closer the model landed than guessing his recent average. This grades the model against RESULTS, not against a betting line.

Last 10 games

GameOppSnap%TgtRecRecYdCarRushYdPassYdTD
2025 wk 18BUF33%10071800
2025 wk 17NE18%00063100
2025 wk 16NO0%0000000
2025 wk 14MIA0%0000000
2025 wk 12BAL0%0000000
2025 wk 11NE0%0000000
2025 wk 10CLE0%0000000
2025 wk 7CAR2%0000000
2025 wk 6DEN0%0000000
2025 wk 1PIT0%0000000