IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Tyler Resch Elite Prospects ↗

Position: Forward DOB: 1981-04-04 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 — AJHL 61 21 46 67 1.098 0.3684 0.3470 1.0165 0.9575
2001-02 St. Albert Saints AJHL 61 36 51 87 1.426 0.4783 0.4359 1.3198 1.2029
■ 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
2005-06 Manhattanville D3 UCHC SR 26 8 12 20 0.769
2004-05 Manhattanville D3 UCHC JR 18 3 10 13 0.722
2003-04 Manhattanville D3 UCHC SO 19 4 13 17 0.895
2002-03 Manhattanville D3 UCHC FR 26 13 17 30 1.154
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.34
before college
→
Actual FR PPG
1.15
2002-03 · Manhattanville
+236.7% vs. projection

NCAAe Rankings

#8083
Forward overall
#306
Forward born in 1981
#72
in AJHL

D1 Comparables

Todd Skirving
USHL · 2012-13 · 0.80 PPG
→ RIT (0.65 D1 FR PPG)
0.43 Strong
NCAAe PPG
Carlos Amestoy
OHL · 2012-13 · 0.75 PPG
→ Maine
0.39 No data
NCAAe PPG
Shane Sooth
USHL · 2012-13 · 0.95 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.50 Average
NCAAe PPG
Eric Scheid
USHL · 2012-13 · 0.94 PPG
→ Alaska Anchorage (0.50 D1 FR PPG)
0.50 Average
NCAAe PPG
David Goodwin
USHL · 2012-13 · 0.67 PPG
→ Penn State (0.53 D1 FR PPG)
0.35 Average
NCAAe PPG

D2/3 Comparables

Brett Mueller
Fredonia · 2008-09
0.842 Strong
actual D2/3 PPG
Daniel Eruzione
Salve Regina · 2016-17
1.207 Elite
actual D2/3 PPG
Jason Zaleski
Buffalo State · 2013-14
1.000 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.