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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 0.0462 0.0539 0.0979 0.1141
2016-17 — NAHL 49 5 18 23 0.469 0.1725 0.1899 0.4955 0.5455
2017-18 — NCDC 49 16 14 30 0.612 0.2496 0.2641 0.4921 0.5207
2018-19 — NAHL 30 3 4 7 0.233 0.0857 0.0863 0.2462 0.2479
■ 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 SUNYAC FR 24 0 7 7 0.292
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.29
2019-20 · SUNY Plattsburgh
+116.4% vs. projection

College Pathway Likelihood (based on 40 comparables)

20%
NCAA D1
12%
NCAA D2/D3
25%
Age-Out / Club
42%
Pro / Other

NCAAe Rankings

#24128
Forward overall
#1206
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

Steven MacIver
St. Olaf · 2014-15
0.000 No data
actual D2/3 PPG
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

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.