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Tyler Cristall Elite Prospects ↗

Position: Forward DOB: 2002-05-13 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
2018-19 Chilliwack Chiefs BCHL 2 0 0 0 0.000 — — — —
2019-20 — BCHL 53 16 25 41 0.774 0.2981 0.2981 1.1258 1.1258
2020-21 West Kelowna Warriors BCHL 20 8 7 15 0.750 0.2890 0.2890 1.0915 1.0915
2021-22 West Kelowna Warriors BCHL 49 30 27 57 1.163 0.4482 0.4361 1.6930 1.6471
■ 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 St. Lawrence D1 ECAC SR 34 10 21 31 0.912
2024-25 St. Lawrence D1 ECAC JR 29 8 9 17 0.586
2023-24 St. Lawrence D1 ECAC SO 39 7 9 16 0.410
2022-23 St. Lawrence D1 ECAC FR 32 2 11 13 0.406
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.37
before college
→
Actual FR PPG
0.41
2022-23 · St. Lawrence
+8.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

45%
NCAA D1
2%
NCAA D2/D3
12%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#12041
Forward overall
#591
Forward born in 2002
#394
in BCHL

D1 Comparables

Tyler Heinonen
USHL · 2012-13 · 0.74 PPG
→ Michigan Tech (0.21 D1 FR PPG)
0.41 Developing
NCAAe PPG
Robbie Payne
NAHL · 2012-13 · 1.12 PPG
→ Northern Michigan (0.29 D1 FR PPG)
0.41 Developing
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.48 Average
NCAAe PPG
Phil Marinaccio
USHL · 2012-13 · 0.77 PPG
→ Bemidji State (0.31 D1 FR PPG)
0.43 Developing
NCAAe PPG
Jared Linnell
USHL · 2012-13 · 0.72 PPG
→ Alaska Fairbanks (0.20 D1 FR PPG)
0.40 Developing
NCAAe PPG

D2/3 Comparables

Dante Spagnuolo
Adrian · 2017-18
1.000 Elite
actual D2/3 PPG
Rusty Masters
Elmira · 2005-06
0.962 Strong
actual D2/3 PPG
Pat Egan
SUNY Plattsburgh · 2013-14
1.080 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.