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Carson Bantle Elite Prospects ↗

Position: Forward DOB: 2002-01-22 Country: USA
2020 NHL Draft Round 5, Pick #142  ·  Utah Mammoth Utah Mammoth (via ARI)
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
2018-19 Madison Capitols USHL 62 10 10 20 0.323 0.1983 0.2160 0.9504 1.0351
2019-20 Madison Capitols USHL 49 20 29 49 1.000 0.6147 0.6147 2.9462 2.9462
■ 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 Wisconsin D1 BigTen JR 39 14 5 19 0.487
2022-23 Wisconsin D1 BigTen SO 35 9 7 16 0.457
2021-22 Wisconsin D1 BigTen FR 27 8 6 14 0.518
2020-21 Michigan Tech D1 WCHA FR 19 2 1 3 0.158
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.16
2020-21 · Michigan Tech
-14.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

28%
NCAA D1
0%
NCAA D2/D3
72%
Pro / Other

NCAAe Rankings

#7101
Forward overall
#328
Forward born in 2002
#556
in USHL

D1 Comparables

Dylan Pavelek
USHL · 2012-13 · 0.33 PPG
→ Michigan State
0.22 No data
NCAAe PPG
Jared Fiegl
NTDP-U18 · 2012-13 · 0.30 PPG
→ Cornell (0.04 D1 FR PPG)
0.24 Developing
NCAAe PPG
Joe Snively
USHL · 2012-13 · 0.33 PPG
→ Yale (0.88 D1 FR PPG)
0.22 Elite
NCAAe PPG
Alec Marsh
USHL · 2012-13 · 0.28 PPG
→ Penn State (0.57 D1 FR PPG)
0.18 Strong
NCAAe PPG
Michael Booth
USHL · 2012-13 · 0.24 PPG
→ Boston College (0.16 D1 FR PPG)
0.16 Developing
NCAAe PPG

D2/3 Comparables

Brycon Johnson
Bryn Athyn · 2012-13
0.778 Strong
actual D2/3 PPG
Chris Cannizzaro
Hobart · 2004-05
1.000 Elite
actual D2/3 PPG
Chad Merrell
New England · 2015-16
0.611 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.