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Adam Durkee Elite Prospects ↗

Position: Forward DOB: 1994-05-05 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
2012-13 Fort McMurray Oil Barons AJHL 56 12 13 25 0.446 0.1497 0.1531 0.4131 0.4224
2013-14 Fort McMurray Oil Barons AJHL 60 23 23 46 0.767 0.2572 0.2496 0.7095 0.6886
2014-15 Fort McMurray Oil Barons AJHL 59 18 29 47 0.797 0.2672 0.2451 0.7372 0.6764
■ 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
2017-18 Sacred Heart D1 AHA — 0 0 0 0 0.000
2016-17 Sacred Heart D1 AHA SO 22 1 2 3 0.136
2015-16 Sacred Heart D1 AHA FR 21 3 2 5 0.238
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.24
2015-16 · Sacred Heart
+12.7% vs. projection

NCAAe Rankings

#23488
Forward overall
#916
Forward born in 1994
#618
in AJHL

D1 Comparables

Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Jordan Nelson
USHL · 2012-13 · 0.59 PPG
→ Minnesota State (0.22 D1 FR PPG)
0.31 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG

D2/3 Comparables

Brendan Payne
Gustavus Adolphus · 2017-18
0.412 Average
actual D2/3 PPG
Brett Beale
Johnson & Wales · 2023-24
0.560 Average
actual D2/3 PPG
Matthew Manning
Worcester State · 2016-17
0.750 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.