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Brian Halonen Elite Prospects ↗

Position: Forward DOB: 1999-01-11 Country: USA
Signed Professionally

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
2014-15 — USHS-MN 25 9 13 22 0.880 0.2369 0.2469 0.2138 0.2229
2016-17 — USHL 8 2 0 2 0.250 0.1537 0.1597 0.7366 0.7652
2017-18 — USHL 59 16 19 35 0.593 0.3646 0.3606 1.7477 1.7288
■ 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 Michigan D1 BigTen — 37 21 23 44 1.189
2021-22 Michigan Tech D1 CCHA — 37 21 23 44 1.189
2020-21 Michigan Tech D1 WCHA JR 28 8 10 18 0.643
2019-20 Michigan Tech D1 WCHA SO 39 12 10 22 0.564
2018-19 Michigan Tech D1 WCHA FR 35 12 9 21 0.600
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.24
before college
→
Actual FR PPG
0.60
2018-19 · Michigan Tech
+150.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

78%
NCAA D1
0%
NCAA D2/D3
22%
Pro / Other

NCAAe Rankings

D1 Comparables

Andrew Poturalski
USHL · 2012-13 · 0.62 PPG
→ New Hampshire (0.72 D1 FR PPG)
0.38 Strong
NCAAe PPG
Kyle Schempp
USHL · 2012-13 · 0.64 PPG
→ Ferris State (0.58 D1 FR PPG)
0.39 Strong
NCAAe PPG
Joe Cox
USHL · 2012-13 · 0.65 PPG
→ Michigan (0.33 D1 FR PPG)
0.39 Developing
NCAAe PPG
Kevin Duane
USHL · 2012-13 · 0.67 PPG
→ Boston University (0.31 D1 FR PPG)
0.40 Developing
NCAAe PPG
Ryan Papa
USHL · 2012-13 · 0.72 PPG
→ St. Cloud State (0.59 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Colin Bella
Lake Forest · 2021-22
0.963 Strong
actual D2/3 PPG
Jason Yuel
Curry · 2005-06
1.769 Elite
actual D2/3 PPG
Cole Hepler
Lebanon Valley · 2014-15
1.280 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.