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Matt Christie Elite Prospects ↗

Position: Forward DOB: 1985-02-22 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
2000-01 Pickering Panthers OJHL 49 21 49 70 1.429 0.3501 0.3917 0.9836 1.1005
2001-02 Wexford Raiders OJHL 47 33 39 72 1.532 0.3755 0.4007 1.0547 1.1255
2002-03 Aurora Tigers OJHL 40 21 30 51 1.275 0.3125 0.3206 0.8778 0.9005
■ 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
2006-07 Miami D1 NCHC SR 37 8 17 25 0.676
2005-06 Miami D1 NCHC JR 39 7 17 24 0.615
2004-05 Miami D1 NCHC SO 33 15 21 36 1.091
2003-04 Miami D1 NCHC FR 41 21 14 35 0.854
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.30
before college
→
Actual FR PPG
0.85
2003-04 · Miami
+182.8% vs. projection

NCAAe Rankings

#8460
Forward overall
#267
Forward born in 1985
#105
in OJHL

D1 Comparables

Evan Allen
USHL · 2012-13 · 0.62 PPG
→ Michigan (0.26 D1 FR PPG)
0.38 Developing
NCAAe PPG
Garrett Gamez
USHL · 2012-13 · 0.39 PPG
→ Providence (0.25 D1 FR PPG)
0.24 Developing
NCAAe PPG
Tyler Motte
USHL · 2012-13 · 0.65 PPG
→ Michigan (0.53 D1 FR PPG)
0.40 Average
NCAAe PPG
Drew Melanson
USHL · 2012-13 · 0.48 PPG
→ RPI (0.56 D1 FR PPG)
0.29 Strong
NCAAe PPG
Luke Stork
USHL · 2012-13 · 0.47 PPG
→ Ohio State (0.33 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Hunter Stewart
Marian · 2011-12
0.741 Strong
actual D2/3 PPG
Andy McGlynn
Wisconsin-Eau Claire · 2014-15
0.600 Average
actual D2/3 PPG
Tom Bark
Lake Forest · 2007-08
1.120 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.