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Simren Sandhu Elite Prospects ↗

Position: Forward DOB: 1986-02-23 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
2002-03 Calgary Canucks AJHL 63 14 26 40 0.635 0.2107 0.2337 0.5884 0.6526
2003-04 Calgary Canucks AJHL 60 18 28 46 0.767 0.2544 0.2688 0.7106 0.7507
2004-05 Calgary Canucks AJHL 64 15 36 51 0.797 0.2644 0.2667 0.7386 0.7451
2005-06 Victoria Grizzlies BCHL 44 13 18 31 0.705 0.2624 0.2533 1.0265 0.9910
2006-07 Victoria Grizzlies BCHL 25 3 9 12 0.480 0.1788 0.1630 0.6994 0.6377
■ 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
2007-08 St. Scholastica D3 — FR 25 4 5 9 0.360
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.17
before college
→
Actual FR PPG
0.36
2007-08 · St. Scholastica
+111.3% vs. projection

NCAAe Rankings

#26950
Forward overall
#893
Forward born in 1986

D1 Comparables

Ali Thomas
USHL · 2012-13 · 0.34 PPG
→ Notre Dame (0.18 D1 FR PPG)
0.19 Developing
NCAAe PPG
Yasin Cissé
QMJHL · 2012-13 · 0.52 PPG
→ Boston University
0.23 No data
NCAAe PPG
Will Suter
USHL · 2012-13 · 0.47 PPG
→ Bentley (0.10 D1 FR PPG)
0.26 Developing
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG

D2/3 Comparables

Tanner Froese
St. Norbert · 2013-14
0.615 Average
actual D2/3 PPG
Logan Ganz
Wisconsin-Eau Claire · 2024-25
0.840 Strong
actual D2/3 PPG
Zach Felser
SUNY Cortland · 2014-15
0.462 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.