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Miko Matikka Elite Prospects ↗

Position: Forward DOB: 2003-10-26 Country: Finland
2022 · Round 3, Pick #67  ·  Utah Mammoth Utah Mammoth (via ARI)
Signed Professionally

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 — SM-Liiga-Jr 19 7 8 15 0.789 0.4279 0.4279 1.1940 1.1940
2021-22 — SM-Liiga-Jr 30 19 14 33 1.100 0.5962 0.6266 1.6635 1.7483
2022-23 — USHL 58 27 28 55 0.948 0.5594 0.5451 2.8481 2.7752
■ 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
2023-24 Denver D1 NCHC — 43 20 13 33 0.767
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.54
before college
→
Actual FR PPG
0.77
2023-24 · Denver
+42.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

100%
NCAA D1
0%
NCAA D2/D3
0%
Pro / Other

NCAAe Rankings

D1 Comparables

Frank DiChiara
USHL · 2012-13 · 0.94 PPG
→ Yale (0.41 D1 FR PPG)
0.53 Average
NCAAe PPG
Trevor Olson
USHL · 2012-13 · 0.79 PPG
→ North Dakota (0.16 D1 FR PPG)
0.46 Developing
NCAAe PPG
Alex Iafallo
USHL · 2012-13 · 0.86 PPG
→ Minnesota Duluth (0.61 D1 FR PPG)
0.50 Strong
NCAAe PPG
Robbie Baillargeon
USHL · 2012-13 · 0.75 PPG
→ Boston University (0.77 D1 FR PPG)
0.43 Strong
NCAAe PPG
Joe Gambardella
USHL · 2012-13 · 0.75 PPG
→ UMass Lowell (0.24 D1 FR PPG)
0.43 Developing
NCAAe PPG

D2/3 Comparables

Geordan Buffoline
University of New England · 2017-18
1.667 Elite
actual D2/3 PPG
Joona Juntunen
Saint Mary's (MN) · 2023-24
0.826 Strong
actual D2/3 PPG
Conor Landrigan
Utica · 2016-17
1.038 Elite
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.