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Christian Faggas Elite Prospects ↗

Position: Forward DOB: 1996-12-20 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
2016-17 — USPHL-Premier-Classic 36 8 8 16 0.444 0.1247 0.1231 0.3660 0.3614
■ 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
2020-21 Babson D1 — SR 7 2 0 2 0.286
2020-21 Babson D3 LittleEast SR 7 2 0 2 0.286
2019-20 Babson D1 — JR 22 2 5 7 0.318
2019-20 Babson D3 LittleEast JR 22 2 5 7 0.318
2018-19 Babson D1 — SO 25 5 7 12 0.480
2018-19 Babson D3 LittleEast SO 25 5 7 12 0.480
2017-18 Babson D3 LittleEast FR 24 3 4 7 0.292
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.11
before college
→
Actual FR PPG
0.29
2017-18 · Babson
+176.8% vs. projection

NCAAe Rankings

#41516
Forward overall
#1855
Forward born in 1996
#184
in USPHL-Premier-Classic

D1 Comparables

Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.18 Average
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.22 Developing
NCAAe PPG
Stanislav Dzakhov
USHL · 2012-13 · 0.27 PPG
→ Niagara (0.44 D1 FR PPG)
0.16 Average
NCAAe PPG

D2/3 Comparables

Troy MacTavish
Wisconsin-Superior · 2017-18
0.538 Average
actual D2/3 PPG
Max Doner
Wisconsin-River Falls · 2016-17
0.250 Developing
actual D2/3 PPG
Colin Biebel
St. Michael's College · 2014-15
0.474 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.