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

Jared Thomas Elite Prospects ↗

Position: Forward DOB: 1994-02-21 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
2011-12 Sioux City Musketeers USHL 3 0 0 0 0.000 — — — —
2012-13 Sioux City Musketeers USHL 59 18 23 41 0.695 0.4425 0.4371 2.0824 2.0571
2013-14 Sioux City Musketeers USHL 58 19 41 60 1.034 0.6588 0.6200 3.1001 2.9175
■ 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 Minnesota Duluth D1 NCHC SR 43 11 15 26 0.605
2016-17 Minnesota Duluth D1 NCHC JR 42 3 8 11 0.262
2015-16 Minnesota Duluth D1 NCHC SO 39 2 8 10 0.256
2014-15 Minnesota Duluth D1 NCHC FR 39 5 8 13 0.333
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.51
before college
→
Actual FR PPG
0.33
2014-15 · Minnesota Duluth
-34.5% vs. projection

NCAAe Rankings

#1676
Forward overall
#61
Forward born in 1994
#213
in USHL

D1 Comparables

Michael Vecchione
USHL · 2012-13 · 0.95 PPG
→ Union (0.89 D1 FR PPG)
0.57 Elite
NCAAe PPG
Dominik Shine
USHL · 2012-13 · 0.90 PPG
→ Northern Michigan (0.45 D1 FR PPG)
0.54 Average
NCAAe PPG
Chad McDonald
USHL · 2012-13 · 0.79 PPG
→ Ferris State (0.48 D1 FR PPG)
0.47 Average
NCAAe PPG
Tyler Biggs
OHL · 2012-13 · 0.88 PPG
→ Miami (0.46 D1 FR PPG)
0.50 Average
NCAAe PPG
Sam Anas
USHL · 2012-13 · 0.98 PPG
→ Quinnipiac (1.07 D1 FR PPG)
0.60 Elite
NCAAe PPG

D2/3 Comparables

Ryan Ellis
SUNY Oswego · 2004-05
1.704 Elite
actual D2/3 PPG
Gus Katsuras
Hamilton · 2001-02
1.400 Elite
actual D2/3 PPG
Joona Juntunen
Saint Mary's · 2023-24
0.826 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.