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Dylan Gambrell Elite Prospects ↗

Position: Forward DOB: 1996-08-26 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 Dubuque Fighting Saints USHL 58 9 18 27 0.466 0.2964 0.3300 1.3950 1.5531
2013-14 Dubuque Fighting Saints USHL 60 14 29 43 0.717 0.4564 0.4868 2.1477 2.2907
2014-15 Dubuque Fighting Saints USHL 54 16 22 38 0.704 0.4481 0.4559 2.1088 2.1456
■ 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 Denver D1 NCHC JR 41 13 30 43 1.049
2016-17 Denver D1 NCHC SO 38 13 29 42 1.105
2015-16 Denver D1 NCHC FR 41 17 30 47 1.146
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.40
before college
→
Actual FR PPG
1.15
2015-16 · Denver
+186.0% vs. projection

NCAAe Rankings

#4817
Forward overall
#185
Forward born in 1996
#755
in USHL

D1 Comparables

Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.42 Developing
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.52 Average
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.45 Developing
NCAAe PPG
Justin Greenberg
NAHL · 2012-13 · 0.95 PPG
→ Miami (0.24 D1 FR PPG)
0.37 Developing
NCAAe PPG
Kyle Osterberg
USHL · 2012-13 · 0.52 PPG
→ Minnesota Duluth (0.77 D1 FR PPG)
0.34 Strong
NCAAe PPG

D2/3 Comparables

Sam Anderson
Albertus Magnus · 2017-18
0.720 Strong
actual D2/3 PPG
Nolan Redler
UMass Boston · 2015-16
1.125 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2003-04
1.704 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.