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Tyler Nyman Elite Prospects ↗

Position: Forward DOB: 1997-07-11 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
2014-15 Centennial High USHS-MN 25 11 23 34 1.360 0.1722 0.1666 0.3303 0.3195
2016-17 Flin Flon Bombers SJHL 37 6 10 16 0.432 0.1108 0.1102 0.3259 0.3240
2017-18 Flin Flon Bombers SJHL 28 4 5 9 0.321 0.0823 0.0780 0.2423 0.2297
■ 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
2021-22 Hamline D3 MIAC SR 16 4 4 8 0.500
2020-21 Hamline D1 MIAC JR 6 2 0 2 0.333
2020-21 Hamline D3 MIAC JR 6 2 0 2 0.333
2019-20 Hamline D1 MIAC SO 14 0 5 5 0.357
2019-20 Hamline D3 MIAC SO 14 0 5 5 0.357
2018-19 Hamline D1 MIAC FR 25 3 9 12 0.480
2018-19 Hamline D3 MIAC FR 25 3 9 12 0.480
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.08
before college
→
Actual FR PPG
0.48
2018-19 · Hamline
+517.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
12%
NCAA D2/D3
55%
Age-Out / Club
0%
Pro / Other

NCAAe Rankings

#33439
Forward overall
#1571
Forward born in 1997

D1 Comparables

Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
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
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

D2/3 Comparables

Cole Essig
Lawrence · 2016-17
0.000 No data
actual D2/3 PPG
John Kelly
Western New England · 2009-10
0.923 Strong
actual D2/3 PPG
Zachary Cormier
Anna Maria · 2018-19
0.000 No data
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.