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Brent Wold Elite Prospects ↗

Position: Forward DOB: 1993-02-10 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
2009-10 Neepawa Titans MJHL 1 0 0 0 0.000 — — — —
2010-11 Portage Terriers MJHL 61 22 46 68 1.115 0.3154 0.3380 0.7024 0.7526
2011-12 Portage Terriers MJHL 60 26 45 71 1.183 0.3348 0.3419 0.7456 0.7614
2012-13 Lincoln Stars USHL 22 1 3 4 0.182 0.1158 0.1084 0.5448 0.5101
2013-14 — MJHL 43 20 27 47 1.093 0.3092 0.2847 0.6887 0.6341
■ 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
2014-15 Utica D3 UCHC FR 9 4 5 9 1.000
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
1.00
2014-15 · Utica
+445.6% vs. projection

NCAAe Rankings

#15458
Forward overall
#572
Forward born in 1993
#302
in MJHL

D1 Comparables

Ricky DeRosa
NAHL · 2012-13 · 0.71 PPG
→ Penn State (0.38 D1 FR PPG)
0.24 Average
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.27 Developing
NCAAe PPG
Dylan Walchuk
WHL · 2012-13 · 0.86 PPG
→ Northern Michigan (0.42 D1 FR PPG)
0.37 Average
NCAAe PPG
Perry D'Arrisso
NAHL · 2012-13 · 1.02 PPG
→ Clarkson (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.38 Average
NCAAe PPG

D2/3 Comparables

Zach Felser
SUNY Cortland · 2014-15
0.462 Average
actual D2/3 PPG
Tanner Froese
St. Norbert · 2013-14
0.615 Average
actual D2/3 PPG
Greg Whittle
Elmira · 2011-12
0.731 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.