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Tommi Männistö Elite Prospects ↗

Position: Forward DOB: 2004-02-07 Country: Finland
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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 Tappara U20 SM-Liiga-Jr 6 0 1 1 0.167 0.0904 0.0904 0.2521 0.2521
2021-22 Tappara U20 SM-Liiga-Jr 41 11 7 18 0.439 0.2379 0.2534 0.6639 0.7072
2022-23 Tappara U20 SM-Liiga-Jr 40 16 13 29 0.725 0.3930 0.4016 1.0964 1.1203
■ 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 Michigan D1 BigTen — 37 12 9 21 0.568
2024-25 Michigan D1 BigTen SO 37 3 8 11 0.297
2023-24 Michigan D1 BigTen FR 32 1 9 10 0.312
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.29
before college
→
Actual FR PPG
0.31
2023-24 · Michigan
+6.7% vs. projection

College Pathway Likelihood (based on 40 comparables)

32%
NCAA D1
0%
NCAA D2/D3
10%
Age-Out / Club
57%
Pro / Other

NCAAe Rankings

#13672
Forward overall
#631
Forward born in 2004
#392
in SM-Liiga-Jr

D1 Comparables

Jared Thomas
USHL · 2012-13 · 0.69 PPG
→ Minnesota Duluth (0.33 D1 FR PPG)
0.40 Developing
NCAAe PPG
Adam Gilmour
USHL · 2012-13 · 0.73 PPG
→ Boston College (0.50 D1 FR PPG)
0.43 Average
NCAAe PPG
Cam Darcy
USHL · 2012-13 · 0.69 PPG
→ Northeastern (0.22 D1 FR PPG)
0.40 Developing
NCAAe PPG
Ryan Papa
USHL · 2012-13 · 0.72 PPG
→ St. Cloud State (0.59 D1 FR PPG)
0.42 Strong
NCAAe PPG
Dave Gust
USHL · 2012-13 · 0.77 PPG
→ Ohio State (0.38 D1 FR PPG)
0.45 Average
NCAAe PPG

D2/3 Comparables

Matthew Hale
Plymouth State · 2021-22
0.571 Average
actual D2/3 PPG
Nathan Cook
Babson · 2001-02
1.115 Elite
actual D2/3 PPG
Jack Campion
Saint Mary's (MN) · 2019-20
0.480 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.