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Karch Bachman Elite Prospects ↗

Position: Forward DOB: 1997-03-10 Country: USA
2015 · Round 5, Pick #132  ·  Florida Panthers Florida Panthers
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
2013-14 Tri-City Storm USHL 2 0 0 0 0.000 — — — —
2014-15 U.S. National U18 Team NTDP-U18 2 0 0 0 0.000 — — — —
2015-16 — USHL 35 14 8 22 0.629 0.3708 0.3700 1.8879 1.8838
■ 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
2019-20 Miami D1 NCHC SR 34 10 21 31 0.912
2018-19 Miami D1 NCHC JR 38 10 6 16 0.421
2017-18 Miami D1 NCHC SO 37 7 9 16 0.432
2016-17 Miami D1 NCHC FR 34 2 4 6 0.176
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.32
before college
→
Actual FR PPG
0.18
2016-17 · Miami
-44.3% vs. projection

NCAAe Rankings

#9930
Forward overall
#449
Forward born in 1997
#833
in USHL

D1 Comparables

Willem Nong-Lambert
USHL · 2012-13 · 0.59 PPG
→ Western Michigan (0.14 D1 FR PPG)
0.35 Developing
NCAAe PPG
Christian Heil
USHL · 2012-13 · 0.62 PPG
→ Colorado College (0.04 D1 FR PPG)
0.36 Developing
NCAAe PPG
Jake Randolph
USHL · 2012-13 · 0.69 PPG
→ Nebraska Omaha (0.67 D1 FR PPG)
0.40 Strong
NCAAe PPG
Cam Darcy
USHL · 2012-13 · 0.69 PPG
→ Northeastern (0.22 D1 FR PPG)
0.40 Developing
NCAAe PPG
Daniel Milne
OHL · 2012-13 · 0.70 PPG
→ Michigan
0.40 No data
NCAAe PPG

D2/3 Comparables

Ryan Woodward
SUNY Oswego · 2000-01
1.226 Elite
actual D2/3 PPG
Donny Flynn
Wilkes · 2015-16
1.423 Elite
actual D2/3 PPG
Gus Katsuras
Hamilton · 2000-01
1.400 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.