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

Christian Kocsis Elite Prospects ↗

Position: Forward DOB: 2004-06-09 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
2020-21 Lincoln Stars USHL 6 0 1 1 0.167 0.0983 0.0983 0.5002 0.5002
2021-22 — USHL 57 6 6 12 0.210 0.1242 0.1313 0.6316 0.6679
2022-23 Des Moines Buccaneers USHL 53 10 14 24 0.453 0.2671 0.2686 1.3587 1.3661
2023-24 Des Moines Buccaneers USHL 48 8 11 19 0.396 0.2335 0.2232 1.1877 1.1352
■ 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
2026-27 Mercyhurst D1 AHA SO 0 0 0 0 0.000
2025-26 Mercyhurst D1 AHA SO 37 6 5 11 0.297
2024-25 Mercyhurst D1 AHA — 25 0 2 2 0.080
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.21
before college
→
Actual FR PPG
0.08
2024-25 · Mercyhurst
-61.3% vs. projection

College Pathway Likelihood (based on 40 comparables)

52%
NCAA D1
15%
NCAA D2/D3
18%
Age-Out / Club
15%
Pro / Other

NCAAe Rankings

#24570
Forward overall
#1372
Forward born in 2004
#2569
in USHL

D1 Comparables

Alfred Larsson
USHL · 2012-13 · 0.39 PPG
→ Merrimack (0.20 D1 FR PPG)
0.22 Developing
NCAAe PPG
Tanner Pond
USHL · 2012-13 · 0.39 PPG
→ Northeastern (0.11 D1 FR PPG)
0.22 Developing
NCAAe PPG
Matt Pohlkamp
USHL · 2012-13 · 0.33 PPG
→ Bowling Green (0.41 D1 FR PPG)
0.19 Average
NCAAe PPG
Zach Saar
USHL · 2012-13 · 0.33 PPG
→ Penn State (0.33 D1 FR PPG)
0.19 Developing
NCAAe PPG
Brett Skibba
USHL · 2012-13 · 0.50 PPG
→ UConn (0.23 D1 FR PPG)
0.28 Developing
NCAAe PPG

D2/3 Comparables

Sean David
Canton · 2016-17
0.800 Strong
actual D2/3 PPG
Austin Master
Stevenson · 2017-18
1.148 Elite
actual D2/3 PPG
Michael Imala
Fitchburg State · 2021-22
0.731 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.