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Tafari Chingwaru Elite Prospects ↗

Position: Defense DOB: 2008-09-26 Country: Canada
RPI
ECAC D1

Set Commitment

NCAA Division I

NCAA D3 / D2

Career Trajectory
Dashed = raw PPG  ·  ■ Solid blue = age-adjusted NCAAe-PPG  ·  ■ Green = actual college PPG
Junior Seasons
Season Team League GP G A Pts PPG NCAAe-PPG Age-Adj D3e-PPG Age-Adj
2023-24 Canmore Eagles AJHL 1 0 0 0 0.000 — — — —
2024-25 Drayton Valley Thunder AJHL 28 2 2 4 0.143 0.0479 0.0547 0.1322 0.1509
2025-26 Lloydminster Bobcats AJHL 20 1 5 6 0.300 0.1006 0.1092 — —
2026-27 Devon Xtreme AJHL 3 1 0 1 0.333 0.1118 0.1118 0.3084 0.3084
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
2%
NCAA D2/D3
25%
Age-Out / Club
48%
Pro / Other

NCAAe Rankings

#24602
Defenseman overall
#1383
Defenseman born in 2008
#2571
in AJHL

D1 Comparables

Kyle Mackey
USHL · 2012-13 · 0.16 PPG
→ Air Force (0.21 D1 FR PPG)
0.09 Average D
NCAAe PPG
Zach Yoder
USHL · 2012-13 · 0.10 PPG
→ Air Force (0.31 D1 FR PPG)
0.06 Strong D
NCAAe PPG
Jake Bischoff
USHL · 2012-13 · 0.17 PPG
→ Minnesota (0.25 D1 FR PPG)
0.10 Average D
NCAAe PPG
Ruslan Pedan
USHL · 2012-13 · 0.33 PPG
→ Bemidji State (0.34 D1 FR PPG)
0.20 Strong D
NCAAe PPG
Cutler Martin
USHL · 2012-13 · 0.27 PPG
→ Michigan (0.47 D1 FR PPG)
0.16 Strong D
NCAAe PPG

RPI Alumni similar profiles who attended this school

Lucas Lemieux
BCHL 2023-24
0.10
actual FR PPG at RPI
Mason Klee
USHL 2017-18
0.19
actual FR PPG at RPI
Brady Ferner
USHL 2015-16
0.11
actual FR PPG at RPI
Landen Hilditch
BCHL 2023-24
0.06
actual FR PPG at RPI

D2/3 Comparables

Ryan Parent
Alvernia · 2021-22
0.000 No data
actual D2/3 PPG
Zac Boyle
Neumann · 2014-15
0.389 Average
actual D2/3 PPG
Andrew Love
Neumann · 2006-07
0.650 Strong
actual D2/3 PPG

How to read this: NCAAe and D3e factors convert a player's junior PPG into expected NCAA scoring at the D1 or D3 level. Harder conferences → lower projected PPG for the same player. A strong junior player (e.g. USHL 0.90 PPG) will project much higher in NESCAC than Big Ten because the D3 scoring environment is lower-difficulty.

Strength factor: conferences above 1.0 are harder than average; below 1.0 are easier. The formula is: Base NCAAe PPG ÷ Conference Strength = Projected PPG.