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Tyler Blanchard Elite Prospects ↗

Position: Forward DOB: 2000-05-03 Country: USA
No commitment set

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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
2018-19 Texas Jr. Brahmas NA3HL 42 30 34 64 1.524 0.1941 0.1986 0.4820 0.4932
2019-20 Texas Jr. Brahmas NA3HL 41 25 36 61 1.488 0.1895 0.1895 0.4706 0.4706
2020-21 Texas Jr. Brahmas NA3HL 39 26 49 75 1.923 0.2450 0.2450 0.6083 0.6083
■ 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
2024-25 Trine D3 NCHA — 24 9 9 18 0.750
2023-24 Trine D3 NCHA — 24 11 4 15 0.625
2022-23 King's D3 MAC — 25 5 12 17 0.680
2021-22 King's D3 MAC — 23 8 13 21 0.913
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.91
2021-22 · King's
+437.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

8%
NCAA D2/D3
0%
Club / ACHA
78%
Other

NCAAe Rankings

#9613
Forward overall
#410
Forward born in 2000
#70
in NA3HL

D1 Comparables

Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG
Jimmy DeVito
USHL · 2012-13 · 0.35 PPG
→ RPI (0.16 D1 FR PPG)
0.21 Developing
NCAAe PPG
Christian Lampasso
USHL · 2012-13 · 0.45 PPG
→ Ohio State (0.44 D1 FR PPG)
0.27 Average
NCAAe PPG

D2/3 Comparables

Matteo Viglino
New England College · 2022-23
0.520 Average
actual D2/3 PPG
Seth Terhell
Saint John's · 2022-23
0.273 Developing
actual D2/3 PPG
Michael Hurst
Chatham · 2021-22
0.417 Average
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.