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Tyler Watungwa Elite Prospects ↗

Position: Forward DOB: 1997-07-28 Country: Canada
No commitment set

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
2016-17 New England Wolves EHL 19 1 0 1 0.053 0.0122 0.0124 0.0257 0.0261
2017-18 WB/Scranton Knights EHL 22 7 7 14 0.636 0.1470 0.1413 0.3114 0.2993
■ Blue = NCAAe (D1 anchor)   ■ Green = D3e (D3 anchor)   COVID-flagged seasons highlighted in yellow
College Seasons (Historical)
Season School Div Conference Year GP G A Pts PPG
2020-21 Finlandia D1 — JR 8 2 2 4 0.500
2020-21 Finlandia D3 — JR 8 2 2 4 0.500
2019-20 Finlandia D1 — SO 25 7 7 14 0.560
2019-20 Finlandia D3 — SO 25 7 7 14 0.560
2018-19 Finlandia D1 — FR 24 3 3 6 0.250
2018-19 Finlandia D3 — FR 24 3 3 6 0.250
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.25
2018-19 · Finlandia
+225.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D2/D3
0%
Club / ACHA
0%
Other

NCAAe Rankings

#39088
Forward overall
#1885
Forward born in 1997
#1533
in EHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.18 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Trey Sauder
Wisconsin-Superior · 2023-24
0.333 Developing
actual D2/3 PPG
Caden Triggs
Concordia · 2021-22
0.600 Average
actual D2/3 PPG
Taylor Brierley
Wilkes · 2016-17
1.042 Elite
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.