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Tyler Haskins Elite Prospects ↗

Position: Forward DOB: 2003-07-07 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
2019-20 Madison Capitols USHL 3 0 0 0 0.000 — — — —
2020-21 Sioux Falls Stampede USHL 51 9 18 27 0.529 0.3123 0.3123 1.5900 1.5900
2021-22 Madison Capitols USHL 52 20 25 45 0.865 0.5105 0.5162 2.5991 2.6281
■ 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 Mercyhurst D1 AHA — 5 0 0 0 0.000
2024-25 Minnesota D1 BigTen — 7 0 0 0 0.000
2023-24 Minnesota D1 BigTen — 18 4 2 6 0.333
2022-23 Denver D1 NCHC — 13 0 1 1 0.077
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.48
before college
→
Actual FR PPG
0.08
2022-23 · Denver
-84.0% vs. projection

College Pathway Likelihood (based on 40 comparables)

95%
NCAA D1
0%
NCAA D2/D3
5%
Pro / Other

NCAAe Rankings

#7390
Forward overall
#275
Forward born in 2003
#541
in USHL

D1 Comparables

Alex Kile
USHL · 2012-13 · 1.07 PPG
→ Michigan (0.21 D1 FR PPG)
0.64 Developing
NCAAe PPG
Sheldon Dries
USHL · 2012-13 · 0.91 PPG
→ Western Michigan (0.18 D1 FR PPG)
0.53 Developing
NCAAe PPG
Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
John Stevens
USHL · 2012-13 · 0.81 PPG
→ Northeastern (0.59 D1 FR PPG)
0.48 Strong
NCAAe PPG
Austin Ortega
USHL · 2012-13 · 0.91 PPG
→ Nebraska Omaha (0.54 D1 FR PPG)
0.53 Average
NCAAe PPG

D2/3 Comparables

Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Lucas Signoretti
Buffalo State · 2023-24
1.120 Elite
actual D2/3 PPG
Sascha Figi
Fitchburg State · 2016-17
1.429 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.