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Patrick Jobb Elite Prospects ↗

Position: Forward DOB: 1988-12-23 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
2004-05 Oshawa Legionaires OJHL 3 0 1 1 0.333 0.0931 0.1045 0.2300 0.2581
2005-06 Pickering Panthers OJHL 43 4 12 16 0.372 0.1040 0.1129 0.2568 0.2787
2006-07 Cobourg Cougars OJHL 48 14 32 46 0.958 0.2677 0.2771 0.6613 0.6845
2007-08 Cobourg Cougars OJHL 36 18 28 46 1.278 0.3570 0.3534 0.8818 0.8728
2008-09 Cobourg Cougars OJHL 48 28 48 76 1.583 0.4424 0.4152 1.0926 1.0254
■ 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 SUNY Plattsburgh D3 — SR 10 1 1 2 0.200
2011-12 SUNY Plattsburgh D3 — JR 25 3 10 13 0.520
2010-11 SUNY Plattsburgh D3 — SO 21 10 11 21 1.000
2009-10 SUNY Plattsburgh D3 — FR 27 6 9 15 0.556
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.56
2009-10 · SUNY Plattsburgh
+66.2% vs. projection

NCAAe Rankings

#6476
Forward overall
#307
Forward born in 1988
#157
in OJHL

D1 Comparables

Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.44 Strong
NCAAe PPG
Tyler Deresky
NAHL · 2012-13 · 0.79 PPG
→ Bentley (0.19 D1 FR PPG)
0.28 Developing
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.47 Average
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.31 Average
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.27 Developing
NCAAe PPG

D2/3 Comparables

Michael Guzzo
Curry · 2006-07
0.852 Strong
actual D2/3 PPG
Connor Sleeth
SUNY Oswego · 2018-19
0.880 Strong
actual D2/3 PPG
Josh Hechter
Saint Anselm · 2001-02
1.375 Elite
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.