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Chris Perna Elite Prospects ↗

Position: Defense DOB: 1998-02-09 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
2015-16 Buffalo Jr. Sabres OJHL 1 0 0 0 0.000 — — — —
2016-17 — CCHL 56 3 9 12 0.214 0.0684 0.0688 0.1659 0.1670
2017-18 Rochester Monarchs NCDC 48 13 15 28 0.583 0.3252 0.3190 0.4717 0.4627
■ 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
2021-22 SUNY Geneseo D3 SUNYAC SR 28 5 21 26 0.929
2019-20 Geneseo D1 — SO 27 6 20 26 0.963
2019-20 SUNY Geneseo D3 — SO 27 6 20 26 0.963
2018-19 Geneseo D1 — FR 27 4 8 12 0.444
2018-19 SUNY Geneseo D3 — FR 27 4 8 12 0.444
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.44
2018-19 · Geneseo
+115.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D2/D3
0%
Club / ACHA
50%
Other

NCAAe Rankings

#5606
Defenseman overall
#1233
Defenseman born in 1998

D1 Comparables

Barrett Kaib
USHL · 2012-13 · 0.57 PPG
→ Providence (0.19 D1 FR PPG)
0.33 Average D
NCAAe PPG
Victor Newell
USHL · 2012-13 · 0.52 PPG
→ Harvard (0.67 D1 FR PPG)
0.30 Elite D
NCAAe PPG
Taylor Fleming
USHL · 2012-13 · 0.48 PPG
→ Western Michigan (0.17 D1 FR PPG)
0.27 Average D
NCAAe PPG
Matt Van Voorhis
USHL · 2012-13 · 0.47 PPG
→ Denver (0.10 D1 FR PPG)
0.27 Developing D
NCAAe PPG
Connor Murphy
OHL · 2012-13 · 0.55 PPG
→ Cornell (0.20 D1 FR PPG)
0.30 Average D
NCAAe PPG

D2/3 Comparables

Eric Benshadle
Trinity · 2015-16
0.542 Average
actual D2/3 PPG
Sam Yearsley
St. Scholastica · 2006-07
0.500 Average
actual D2/3 PPG
Vladislav Sorokin
Wisconsin-Stout · 2017-18
0.348 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.