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Tyler Fletcher Elite Prospects ↗

Position: Defense DOB: 1985-04-02 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 — AJHL 12 0 0 0 0.000 — — — —
2004-05 Melville Millionaires SJHL 45 7 6 13 0.289 0.0740 0.0726 0.2178 0.2137
2005-06 Melville Millionaires SJHL 53 12 29 41 0.774 0.1982 0.1851 0.5831 0.5446
■ 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 Wisconsin-Superior D3 WIAC SR 26 10 5 15 0.577
2008-09 Wisconsin-Superior D3 WIAC JR 30 6 9 15 0.500
2007-08 Wisconsin-Superior D3 WIAC SO 26 0 6 6 0.231
2006-07 Marian D3 NCHA FR 27 6 9 15 0.556
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.56
2006-07 · Marian
+306.4% vs. projection

NCAAe Rankings

#12436
Defenseman overall
#1245
Defenseman born in 1985

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Michael Holland
USHL · 2012-13 · 0.18 PPG
→ RIT (0.05 D1 FR PPG)
0.09 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG

D2/3 Comparables

Roman Gaudet
SUNY Morrisville · 2016-17
0.000 No data
actual D2/3 PPG
Kris Boyce
St. Scholastica · 2005-06
0.600 Average
actual D2/3 PPG
Nick Sweet
Salem State · 2023-24
0.409 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.