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Tyler Wallace Elite Prospects ↗

Position: Forward DOB: 2002-05-19 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
2019-20 Fort McMurray Oil Barons AJHL 49 7 8 15 0.306 0.1016 0.1016 0.2837 0.2837
2020-21 Fort McMurray Oil Barons AJHL 16 2 5 7 0.438 0.1452 0.1452 0.4055 0.4055
2021-22 Fort McMurray Oil Barons AJHL 58 23 35 58 1.000 0.3318 0.3230 0.9268 0.9023
2022-23 Blackfalds Bulldogs AJHL 54 42 42 84 1.556 0.5161 0.4769 1.4417 1.3321
■ 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
2025-26 RPI D1 ECAC JR 35 9 9 18 0.514
2024-25 Niagara D1 AHA — 37 14 12 26 0.703
2023-24 Niagara D1 AHA — 39 13 17 30 0.769
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.36
before college
→
Actual FR PPG
0.77
2023-24 · Niagara
+116.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

38%
NCAA D1
0%
NCAA D2/D3
55%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#10212
Forward overall
#491
Forward born in 2002
#139
in AJHL

D1 Comparables

Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.44 Strong
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.52 Average
NCAAe PPG
Michael Huntebrinker
USHL · 2012-13 · 0.91 PPG
→ Minnesota (0.15 D1 FR PPG)
0.51 Developing
NCAAe PPG
Brandon Wahlin
NAHL · 2012-13 · 1.33 PPG
→ UMass (0.13 D1 FR PPG)
0.50 Developing
NCAAe PPG

D2/3 Comparables

Trent Flory
Utica · 2000-01
0.920 Strong
actual D2/3 PPG
Kyle Sharkey
Wisconsin-Stevens Point · 2012-13
1.138 Elite
actual D2/3 PPG
Erik Caron
St. Michael's College · 2003-04
1.280 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.