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Darby Gula Elite Prospects ↗

Position: Defense DOB: 1998-01-08 Country: Canada
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
2015-16 Steinbach Pistons MJHL 53 6 23 29 0.547 0.1053 0.1118 0.3451 0.3664
2016-17 Steinbach Pistons MJHL 56 7 27 34 0.607 0.1169 0.1184 0.3828 0.3877
2017-18 Steinbach Pistons MJHL 56 14 47 61 1.089 0.2097 0.2022 0.6869 0.6624
■ 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
2020-21 Bemidji State D1 WCHA JR 28 1 2 3 0.107
2019-20 Bemidji State D1 WCHA SO 17 1 0 1 0.059
2018-19 Bemidji State D1 WCHA FR 18 0 2 2 0.111
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.16
before college
→
Actual FR PPG
0.11
2018-19 · Bemidji State
-30.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
0%
NCAA D2/D3
20%
Age-Out / Club
40%
Pro / Other

NCAAe Rankings

#5760
Defenseman overall
#1239
Defenseman born in 1998
#303
in MJHL

D1 Comparables

Taki Pantziris
OHL · 2012-13 · 0.29 PPG
→ Brown
0.15 No data
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.26 Developing D
NCAAe PPG
Brandon Kirk
USHL · 2012-13 · 0.32 PPG
→ Dartmouth
0.17 No data
NCAAe PPG
Max Everson
USHL · 2012-13 · 0.31 PPG
→ Harvard (0.12 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.26 Average D
NCAAe PPG

D2/3 Comparables

Jax Murray
Trinity · 2018-19
0.875 Strong
actual D2/3 PPG
Joseph Admirand
University of New England · 2014-15
0.500 Average
actual D2/3 PPG
Gage Christianson
Milwaukee School of Engineering · 2011-12
0.741 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.