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Logan Cyca Elite Prospects ↗

Position: Forward DOB: 2002-10-12 Country: Canada
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
2019-20 Whitecourt Wolverines AJHL 1 0 0 0 0.000 — — — —
2020-21 Olds Grizzlys AJHL 13 3 0 3 0.231 0.0774 0.0774 0.2136 0.2136
2021-22 Yorkton Terriers SJHL 23 4 15 19 0.826 0.2116 0.2133 0.6227 0.6277
2022-23 Yorkton Terriers SJHL 47 7 14 21 0.447 0.1145 0.1097 0.3368 0.3227
■ 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
2025-26 Minot State University ACHA_D1 — — 30 7 10 17 0.567
2024-25 Minot State University ACHA_D1 — — 30 7 10 17 0.567
2023-24 Minot State University ACHA_D1 — — 30 7 10 17 0.567
2022-23 Minot State University ACHA_D1 — — 30 7 10 17 0.567
2021-22 Minot State University ACHA_D1 — — 30 7 10 17 0.567
2020-21 Minot State University ACHA_D1 — — 30 7 10 17 0.567

College Pathway Likelihood (based on 40 comparables)

25%
NCAA D1
18%
NCAA D2/D3
50%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#35214
Forward overall
#2121
Forward born in 2002

D1 Comparables

Woody Hudson
USHL · 2012-13 · 0.43 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.23 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.21 No data
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Eli Lichtenwald
USHL · 2012-13 · 0.36 PPG
→ Union (0.68 D1 FR PPG)
0.19 Strong
NCAAe PPG
Tayler Munson
USHL · 2012-13 · 0.31 PPG
→ Alaska Fairbanks (0.35 D1 FR PPG)
0.17 Average
NCAAe PPG

D2/3 Comparables

Zach Lynes
SUNY Geneseo · 2014-15
0.294 Developing
actual D2/3 PPG
Nick Nelson
St. Thomas · 2003-04
0.500 Average
actual D2/3 PPG
David Becker
Bethel · 2014-15
0.286 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.