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Christopher Garbe Elite Prospects ↗

Position: Forward DOB: 1999-03-10 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
2016-17 New Jersey Jr. Titans NAHL 1 1 0 1 1.000 0.3962 0.4270 1.0499 1.1314
2017-18 New Jersey Jr. Titans NAHL 44 6 13 19 0.432 0.1711 0.1759 — —
2018-19 New Jersey Jr. Titans NAHL 51 9 9 18 0.353 0.1398 0.1375 0.3705 0.3644
2019-20 New Jersey Jr. Titans NAHL 52 22 15 37 0.712 0.2819 0.2819 0.7470 0.7470
■ 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
2023-24 Middlebury D3 NESCAC SR 26 3 2 5 0.192
2022-23 Middlebury D3 NESCAC JR 19 4 2 6 0.316
2021-22 Middlebury D3 NESCAC SO 20 5 4 9 0.450
2020-21 Middlebury D3 NESCAC FR 0 0 0 0 0.000

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
2%
NCAA D2/D3
20%
Age-Out / Club
50%
Pro / Other

NCAAe Rankings

#26461
Forward overall
#1353
Forward born in 1999
#2199
in NAHL

D1 Comparables

Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Ben Ostlie
USHL · 2012-13 · 0.23 PPG
→ Notre Dame
0.13 No data
NCAAe PPG
William Messa
USHL · 2012-13 · 0.21 PPG
→ Northeastern
0.12 No data
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Connor Eckenrod
Western New England · 2014-15
0.364 Average
actual D2/3 PPG
Luke Dietsch
Augsburg · 2013-14
0.593 Average
actual D2/3 PPG
Adam Scuglia
SUNY Plattsburgh · 2009-10
0.333 Developing
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.