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Killian Hammersmith Elite Prospects ↗

Position: Forward DOB: 1998-06-02 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
2016-17 Northern Cyclones EHL 27 5 5 10 0.370 0.0795 0.0842 0.1814 0.1921
2017-18 Northern Cyclones USPHL-Premier 33 21 21 42 1.273 0.1713 0.1689 0.4332 0.4272
■ 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
2021-22 Saint Anselm D2 NE10 SR 24 5 14 19 0.792
2020-21 Saint Anselm D2 NE10 JR 0 0 0 0 0.000
2019-20 Saint Anselm D2 NE10 SO 28 7 11 18 0.643
2018-19 Saint Anselm D2 NE10 FR 18 4 3 7 0.389
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.12
before college
→
Actual FR PPG
0.39
2018-19 · Saint Anselm
+236.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D2/D3
0%
Club / ACHA
75%
Other

NCAAe Rankings

#30822
Forward overall
#1309
Forward born in 1998

D1 Comparables

Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.16 Developing
NCAAe PPG
Robin Höglund
NAHL · 2012-13 · 0.52 PPG
→ Minnesota
0.19 No data
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.20 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.20 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG

D2/3 Comparables

Jack Lewis
Lake Forest · 2011-12
0.643 Average
actual D2/3 PPG
James Callahan
Trinity · 2016-17
0.630 Average
actual D2/3 PPG
Bronson Zoltán Kovács
Hobart · 2009-10
0.476 Average
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.