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Ram Sidhu Elite Prospects ↗

Position: Forward DOB: 1983-09-10 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
2001-02 Victoria Grizzlies BCHL 1 0 0 0 0.000 — — — —
2002-03 — BCHL 69 5 9 14 0.203 0.0756 0.0744 0.2956 0.2908
2003-04 Quesnel Millionaires BCHL 59 14 19 33 0.559 0.2083 0.1957 0.8150 0.7656
■ 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 SUNY Geneseo D3 — SR 17 2 2 4 0.235
2006-07 SUNY Geneseo D3 — JR 18 0 1 1 0.056
2005-06 SUNY Geneseo D3 — SO 21 4 3 7 0.333
2004-05 SUNY Geneseo D3 — FR 18 2 3 5 0.278
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.28
2004-05 · SUNY Geneseo
+120.5% vs. projection

NCAAe Rankings

#35949
Forward overall
#987
Forward born in 1983
#2300
in BCHL

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.24 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.20 Strong
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Davey Middleton
USHL · 2012-13 · 0.50 PPG
→ Brown (0.10 D1 FR PPG)
0.28 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG

D2/3 Comparables

Matthew Cuce
Elmira · 2015-16
1.000 Elite
actual D2/3 PPG
Cullen Kane
Lake Forest · 2017-18
0.500 Average
actual D2/3 PPG
Jack O'Hanisain
Adrian · 2024-25
0.667 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.