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Dave Jarman Elite Prospects ↗

Position: Forward DOB: 1986-08-19 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
2003-04 Wexford Raiders OJHL 40 11 11 22 0.550 0.1348 0.1422 0.3787 0.3996
2004-05 Wexford Raiders OJHL 47 26 19 45 0.957 0.2347 0.2358 0.6592 0.6623
2005-06 — OJHL 37 20 23 43 1.162 0.2849 0.2757 0.8002 0.7745
■ 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
2009-10 Sacred Heart D1 AHA SR 38 13 36 49 1.290
2008-09 Sacred Heart D1 AHA JR 37 11 18 29 0.784
2007-08 Sacred Heart D1 AHA SO 38 12 22 34 0.895
2006-07 Sacred Heart D1 AHA FR 34 11 11 22 0.647
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.65
2006-07 · Sacred Heart
+191.1% vs. projection

NCAAe Rankings

#17296
Forward overall
#596
Forward born in 1986
#602
in OJHL

D1 Comparables

C.J. Reuschlein
NAHL · 2012-13 · 0.80 PPG
→ Army (0.67 D1 FR PPG)
0.29 Strong
NCAAe PPG
Jake Wood
USHL · 2012-13 · 0.43 PPG
→ RPI (0.24 D1 FR PPG)
0.25 Developing
NCAAe PPG
Max McHugh
NAHL · 2012-13 · 0.88 PPG
→ Alabama-Huntsville (0.61 D1 FR PPG)
0.32 Strong
NCAAe PPG
Judd Peterson
USHL · 2012-13 · 0.57 PPG
→ St. Cloud State (0.19 D1 FR PPG)
0.32 Developing
NCAAe PPG
Kevin Irwin
USHL · 2012-13 · 0.56 PPG
→ Vermont (0.47 D1 FR PPG)
0.32 Average
NCAAe PPG

D2/3 Comparables

Cade Baker
Endicott · 2022-23
0.625 Average
actual D2/3 PPG
Michael Mania
UMass Dartmouth · 2018-19
0.667 Strong
actual D2/3 PPG
Jacob Mooney
SUNY Plattsburgh · 2009-10
0.630 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.