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Tyler Green Elite Prospects ↗

Position: Forward DOB: 2002-12-29 Country: USA
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
2021-22 Olds Grizzlys AJHL 45 13 15 28 0.622 0.2087 0.2096 0.5739 0.5763
2022-23 — NAHL 49 9 8 17 0.347 0.1233 0.1204 0.3659 0.3574
■ 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. Olaf D3 MIAC GR 22 8 3 11 0.500
2024-25 St. Olaf D3 MIAC SR 25 6 14 20 0.800
2023-24 St. Olaf D3 MIAC JR 23 3 9 12 0.522
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.52
2023-24 · St. Olaf
+290.5% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
20%
NCAA D2/D3
35%
Age-Out / Club
22%
Pro / Other

NCAAe Rankings

#39462
Forward overall
#2444
Forward born in 2002

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.15 Average
NCAAe PPG

D2/3 Comparables

Colin Biebel
St. Michael's College · 2014-15
0.474 Average
actual D2/3 PPG
Carter Lukenda
St. Olaf · 2013-14
0.000 No data
actual D2/3 PPG
Cory Dunn
Adrian · 2013-14
1.069 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.