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Carter Rapalje Elite Prospects ↗

Position: Forward DOB: 2001-08-10 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 Houston Bulls NAHL 3 0 0 0 0.000 — — — —
2020-21 Houston Bulls NAHL 41 5 3 8 0.195 0.0717 0.0717 0.2059 0.2059
2021-22 Houston Bulls NAHL 50 28 14 42 0.840 0.3086 0.2952 0.8866 0.8482
■ 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 Ferris State D1 CCHA SR 37 11 9 20 0.540
2024-25 Long Island Univ. D1 AHA — 34 17 13 30 0.882
2022-23 Stonehill D1 NE10 — 23 20 15 35 1.522
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.25
before college
→
Actual FR PPG
1.52
2022-23 · Stonehill
+502.2% vs. projection

College Pathway Likelihood (based on 40 comparables)

62%
NCAA D1
8%
NCAA D2/D3
22%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#23796
Forward overall
#1192
Forward born in 2001
#1824
in NAHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Emil Romig
NAHL · 2012-13 · 1.00 PPG
→ Denver (0.31 D1 FR PPG)
0.35 Developing
NCAAe PPG
Jonathan Davis
NAHL · 2012-13 · 1.03 PPG
→ Nebraska Omaha (0.06 D1 FR PPG)
0.36 Developing
NCAAe PPG
Justin Parizek
NAHL · 2012-13 · 0.93 PPG
→ Nebraska Omaha (0.22 D1 FR PPG)
0.32 Developing
NCAAe PPG
A.J. Reid
NAHL · 2012-13 · 1.18 PPG
→ Air Force (0.26 D1 FR PPG)
0.41 Developing
NCAAe PPG

D2/3 Comparables

Tyson Gilmour
SUNY Geneseo · 2018-19
0.762 Strong
actual D2/3 PPG
Peter Bates
St. Norbert · 2016-17
0.875 Strong
actual D2/3 PPG
Owen Sikich
Saint Mary's (MN) · 2017-18
0.630 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.