IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Mitchell Vanderlaan Elite Prospects ↗

Position: Forward DOB: 1995-04-30 Country: Canada
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 Fort McMurray Oil Barons AJHL 53 9 23 32 0.604 0.2025 0.2065 0.5586 0.5697
2014-15 Fort McMurray Oil Barons AJHL 49 16 23 39 0.796 0.2669 0.2580 0.7364 0.7119
■ 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
2018-19 Cornell D1 ECAC — 36 11 19 30 0.833
2017-18 Cornell D1 ECAC — 27 7 13 20 0.741
2016-17 Cornell D1 ECAC — 35 15 13 28 0.800
2015-16 Cornell D1 ECAC — 34 8 11 19 0.559
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.20
before college
→
Actual FR PPG
0.56
2015-16 · Cornell
+175.0% vs. projection

NCAAe Rankings

#23409
Forward overall
#886
Forward born in 1995
#594
in AJHL

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Devin Loe
NAHL · 2012-13 · 0.85 PPG
→ Miami (0.71 D1 FR PPG)
0.31 Strong
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG

D2/3 Comparables

Emmond Bell
Norwich · 2006-07
0.640 Average
actual D2/3 PPG
Steve Evans
Westfield State · 2009-10
0.950 Strong
actual D2/3 PPG
Ryan Panet
Lake Forest · 2000-01
0.750 Strong
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.