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Jon Kalinski Elite Prospects ↗

Position: Forward DOB: 1987-05-25 Country: Canada
2007 · Round 5, Pick #152  ·  Philadelphia Flyers Philadelphia Flyers
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 Bonnyville Pontiacs AJHL 52 13 13 26 0.500 0.1677 0.1876 0.4627 0.5177
2004-05 Bonnyville Pontiacs AJHL 58 16 25 41 0.707 0.2371 0.2540 0.6542 0.7008
■ 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 Minnesota State D1 CCHA JR 39 8 10 18 0.462
2006-07 Minnesota State D1 CCHA SO 37 17 10 27 0.730
2005-06 Minnesota State D1 CCHA FR 30 4 7 11 0.367
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.37
2005-06 · Minnesota State
+88.3% vs. projection

NCAAe Rankings

#27499
Forward overall
#884
Forward born in 1987
#821
in AJHL

D1 Comparables

Mike Marnell
USHL · 2012-13 · 0.49 PPG
→ St. Lawrence (0.53 D1 FR PPG)
0.30 Average
NCAAe PPG
Dylan McLaughlin
USHL · 2012-13 · 0.33 PPG
→ Canisius (0.67 D1 FR PPG)
0.20 Strong
NCAAe PPG
Frederik Tiffels
USHL · 2012-13 · 0.50 PPG
→ Western Michigan (0.66 D1 FR PPG)
0.31 Strong
NCAAe PPG
Dawson Cook
USHL · 2012-13 · 0.32 PPG
→ Notre Dame (0.06 D1 FR PPG)
0.20 Developing
NCAAe PPG
Avery Peterson
USHL · 2012-13 · 0.50 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.31 Average
NCAAe PPG

D2/3 Comparables

Manny Gialedakis
SUNY Oswego · 2009-10
0.750 Strong
actual D2/3 PPG
Ryan Bailey
Franklin Pierce · 2018-19
0.000 No data
actual D2/3 PPG
Rick Varone
SUNY Oswego · 2000-01
0.652 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.