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Quinn Green Elite Prospects ↗

Position: Forward DOB: 1999-01-28 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
2017-18 Amarillo Wranglers NAHL 2 0 0 0 0.000 — — — —
2018-19 Amarillo Wranglers NAHL 56 24 15 39 0.696 0.2559 0.2502 0.7351 0.7188
2019-20 Amarillo Wranglers NAHL 50 20 19 39 0.780 0.2866 0.2866 0.8233 0.8233
■ 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
2023-24 Wisconsin-Eau Claire D3 WIAC SR 28 5 19 24 0.857
2022-23 Wisconsin-Eau Claire D3 WIAC JR 24 14 13 27 1.125
2021-22 Wisconsin-Eau Claire D3 WIAC SO 30 9 5 14 0.467
2020-21 Alabama Huntsville D1 — FR 19 3 3 6 0.316
2020-21 Alabama-Huntsville D1 — FR 19 3 3 6 0.316
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.32
2020-21 · Alabama Huntsville
+47.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

35%
NCAA D1
10%
NCAA D2/D3
18%
Age-Out / Club
38%
Pro / Other

NCAAe Rankings

#16077
Forward overall
#763
Forward born in 1999
#826
in NAHL

D1 Comparables

Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.29 Average
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Derek Hansberry
Wisconsin-River Falls · 2003-04
1.259 Elite
actual D2/3 PPG
Ivan Galaguzov
Lawrence · 2017-18
0.444 Average
actual D2/3 PPG
Tyler Bullard
Canton · 2014-15
0.957 Strong
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.