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Christian Thomas Elite Prospects ↗

Position: Forward DOB: 1999-08-27 Country: USA
No commitment set

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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
2015-16 Northern Cyclones EHL 5 0 1 1 0.200 0.0293 0.0342 0.0981 0.1144
2016-17 — NAHL 49 5 18 23 0.469 0.1667 0.1835 0.4928 0.5425
2017-18 — NCDC 49 16 14 30 0.612 0.1415 0.1497 0.4950 0.5238
2018-19 — NAHL 30 3 4 7 0.233 0.0829 0.0835 0.2449 0.2465
■ 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
2019-20 SUNY Plattsburgh D3 — FR 24 0 7 7 0.292
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.09
before college
→
Actual FR PPG
0.29
2019-20 · SUNY Plattsburgh
+210.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
10%
NCAA D2/D3
25%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#26310
Forward overall
#1347
Forward born in 1999

D1 Comparables

Conor Andrle
USHL · 2012-13 · 0.20 PPG
→ Army (0.53 D1 FR PPG)
0.11 Average
NCAAe PPG
Josh Erickson
USHL · 2012-13 · 0.21 PPG
→ Alaska Fairbanks (0.14 D1 FR PPG)
0.12 Developing
NCAAe PPG
Ben Greiner
USHL · 2012-13 · 0.17 PPG
→ Bowling Green (0.38 D1 FR PPG)
0.10 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Tyler Spezia
USHL · 2012-13 · 0.26 PPG
→ Bowling Green (0.25 D1 FR PPG)
0.15 Developing
NCAAe PPG

D2/3 Comparables

Josh Timpano
SUNY Oswego · 2011-12
0.500 Average
actual D2/3 PPG
Tanner Skaja
Wisconsin-Superior · 2014-15
0.240 Developing
actual D2/3 PPG
Mark Rath
St. Olaf · 2011-12
0.417 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.