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Jordan Zalba Elite Prospects ↗

Position: Forward DOB: 1988-10-25 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
2005-06 Victoria Grizzlies BCHL 2 0 0 0 0.000 — — — —
2006-07 Merritt Centennials BCHL 47 14 32 46 0.979 0.3771 0.3942 1.4243 1.4887
2007-08 Victoria Grizzlies BCHL 55 8 20 28 0.509 0.1962 0.1945 0.7409 0.7345
2008-09 Yorkton Terriers SJHL 24 7 6 13 0.542 0.1388 0.1329 0.4083 0.3909
■ 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
2012-13 Neumann D3 MAC SR 26 7 11 18 0.692
2011-12 Neumann D3 MAC JR 25 10 13 23 0.920
2010-11 Neumann D3 MAC SO 24 7 12 19 0.792
2009-10 Neumann D3 MAC FR 27 7 13 20 0.741
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.74
2009-10 · Neumann
+449.1% vs. projection

NCAAe Rankings

#31559
Forward overall
#1076
Forward born in 1988
#1761
in BCHL

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Owen Guerin
UMass Dartmouth · 2024-25
0.000 No data
actual D2/3 PPG
Brad Pizzey
Nazareth · 2014-15
0.400 Average
actual D2/3 PPG
Nick Lund
Adrian · 2018-19
0.500 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.