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Brian Ward Elite Prospects ↗

Position: Forward DOB: 1992-02-14 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
2010-11 Tri-City Storm USHL 55 9 6 15 0.273 0.1676 0.1654 0.8034 0.7927
2011-12 Tri-City Storm USHL 25 8 8 16 0.640 0.3934 0.3698 1.8856 1.7725
2012-13 Tri-City Storm USHL 42 22 32 54 1.286 0.7903 0.7008 3.7879 3.3591
■ 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
2015-16 St. Lawrence D1 ECAC SR 37 10 17 27 0.730
2014-15 St. Lawrence D1 ECAC JR 37 9 17 26 0.703
2013-14 St. Lawrence D1 ECAC SO 38 8 9 17 0.447
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.53
before college
→
Actual FR PPG
0.45
2013-14 · St. Lawrence
-15.4% vs. projection

NCAAe Rankings

#5026
Forward overall
#254
Forward born in 1992
#269
in USHL

D1 Comparables

Mike Szmatula
USHL · 2012-13 · 1.21 PPG
→ Northeastern (1.05 D1 FR PPG)
0.68 Elite
NCAAe PPG
Kyle Novak
USHL · 2012-13 · 1.20 PPG
→ Western Michigan (0.19 D1 FR PPG)
0.68 Developing
NCAAe PPG
Luc Gerdes
USHL · 2012-13 · 1.00 PPG
→ Colorado College (0.25 D1 FR PPG)
0.58 Developing
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.58 Elite
NCAAe PPG
J.T. Stenglein
USHL · 2012-13 · 1.04 PPG
→ Michigan (0.07 D1 FR PPG)
0.61 Developing
NCAAe PPG

D2/3 Comparables

Neil Trimm
Neumann · 2003-04
1.800 Elite
actual D2/3 PPG
Arkhip Ledenkov
St. Scholastica · 2018-19
1.636 Elite
actual D2/3 PPG
Brandon Osmundson
Utica · 2018-19
1.448 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.