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Henry Bartle Elite Prospects ↗

Position: Forward DOB: 2003-06-03 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
2019-20 Centennial USHS-MN 27 21 17 38 1.407 0.3789 0.3789 0.3419 0.3419
2020-21 Centennial USHS-MN 21 14 28 42 2.000 0.5384 0.5384 0.4858 0.4858
2021-22 Des Moines Buccaneers USHL 56 4 20 24 0.429 0.2635 0.2652 1.2627 1.2709
2022-23 Des Moines Buccaneers USHL 56 12 11 23 0.411 0.2525 0.2410 1.2100 1.1550
■ 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
2025-26 Alaska Anchorage D1 WCHA JR 7 0 0 0 0.000
2024-25 Michigan Tech D1 CCHA — 22 1 2 3 0.136
2023-24 Michigan Tech D1 CCHA — 16 1 4 5 0.312
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.31
2023-24 · Michigan Tech
+45.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

48%
NCAA D1
8%
NCAA D2/D3
35%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#13807
Forward overall
#669
Forward born in 2003

D1 Comparables

Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.23 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.23 Developing
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
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Austin Master
Stevenson · 2017-18
1.148 Elite
actual D2/3 PPG
Payden Benning
Curry · 2007-08
1.074 Elite
actual D2/3 PPG
Tyler Ramm
SUNY Plattsburgh · 2022-23
0.588 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.