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Tyler Pham Elite Prospects ↗

Position: Forward DOB: 1994-05-12 Country: USA
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
2010-11 Chicago Steel USHL 3 0 0 0 0.000 — — — —
2011-12 Indiana Ice USHL 50 4 8 12 0.240 0.1416 0.1490 0.7208 0.7583
2012-13 Indiana Ice USHL 61 8 16 24 0.393 0.2321 0.2318 1.1815 1.1801
2013-14 Indiana Ice USHL 57 10 12 22 0.386 0.2277 0.2168 1.1593 1.1037
■ 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
2017-18 Army D1 AHA SR 36 8 16 24 0.667
2016-17 Army D1 AHA JR 37 5 16 21 0.568
2015-16 Army D1 AHA SO 37 7 16 23 0.622
2014-15 Army D1 AHA FR 32 9 20 29 0.906
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.19
before college
→
Actual FR PPG
0.91
2014-15 · Army
+375.2% vs. projection

NCAAe Rankings

#25679
Forward overall
#1001
Forward born in 1994
#2482
in USHL

D1 Comparables

Tommy Schutt
USHL · 2012-13 · 0.37 PPG
→ Quinnipiac (0.28 D1 FR PPG)
0.21 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Luc Gerdes
NAHL · 2012-13 · 0.80 PPG
→ Colorado College (0.25 D1 FR PPG)
0.29 Developing
NCAAe PPG

D2/3 Comparables

Lukas Ciotti
Adrian · 2009-10
0.778 Strong
actual D2/3 PPG
Joe Anderson
Wisconsin-Stout · 2013-14
0.625 Average
actual D2/3 PPG
Ryan Swain
Neumann · 2014-15
0.905 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.