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Blake McLaughlin Elite Prospects ↗

Position: Forward DOB: 2000-02-14 Country: USA
2018 · Round 3, Pick #79  ·  Anaheim Ducks Anaheim Ducks
Signed Professionally

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 Chicago Steel USHL 11 0 2 2 0.182 0.1072 0.1172 0.5460 0.5970
2017-18 Chicago Steel USHL 54 23 29 52 0.963 0.5681 0.5930 2.8923 3.0189
■ 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
2021-22 Minnesota D1 BigTen SR 39 13 20 33 0.846
2020-21 Minnesota D1 BigTen JR 31 12 16 28 0.903
2019-20 Minnesota D1 BigTen SO 37 8 16 24 0.649
2018-19 Minnesota D1 BigTen FR 35 5 15 20 0.571
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
0.57
2018-19 · Minnesota
+65.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
5%
Pro / Other

NCAAe Rankings

D1 Comparables

Anthony Louis
NTDP-U18 · 2012-13 · 0.82 PPG
→ Miami (0.69 D1 FR PPG)
0.59 Strong
NCAAe PPG
Vinni Lettieri
USHL · 2012-13 · 0.92 PPG
→ Minnesota (0.22 D1 FR PPG)
0.56 Developing
NCAAe PPG
Zach Diamantoni
USHL · 2012-13 · 1.00 PPG
→ Northern Michigan (0.26 D1 FR PPG)
0.61 Developing
NCAAe PPG
Evan Allen
NTDP-U18 · 2012-13 · 0.72 PPG
→ Michigan (0.26 D1 FR PPG)
0.51 Developing
NCAAe PPG
John Hayden
USHL · 2012-13 · 0.83 PPG
→ Yale (0.48 D1 FR PPG)
0.51 Average
NCAAe PPG

D2/3 Comparables

Brandon Osmundson
Utica · 2016-17
1.448 Elite
actual D2/3 PPG
Ryan Ellis
SUNY Oswego · 2002-03
1.704 Elite
actual D2/3 PPG
Gus Katsuras
Hamilton · 2001-02
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.