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Kyle Doll Elite Prospects ↗

Position: Forward DOB: 2005-03-19 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 Lakeville North USHS-MN 21 12 11 23 1.095 0.1387 0.1387 0.2660 0.2660
2021-22 Lakeville North USHS-MN 28 22 23 45 1.607 0.2035 0.2035 0.3904 0.3904
2022-23 Bismarck Bobcats NAHL 55 3 12 15 0.273 0.1002 0.1090 0.2878 0.3131
2023-24 Bismarck Bobcats NAHL 57 10 16 26 0.456 0.1676 0.1743 0.4814 0.5007
2024-25 Bismarck Bobcats NAHL 52 13 20 33 0.635 0.2332 0.2303 0.6698 0.6615
■ 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 Gustavus Adolphus D3 MIAC FR 25 9 7 16 0.640
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.18
before college
→
Actual FR PPG
0.64
2025-26 · Gustavus Adolphus
+259.6% vs. projection

College Pathway Likelihood (based on 40 comparables)

18%
NCAA D1
5%
NCAA D2/D3
25%
Age-Out / Club
52%
Pro / Other

NCAAe Rankings

#28473
Forward overall
#1662
Forward born in 2005

D1 Comparables

Gage Hough
USHL · 2012-13 · 0.39 PPG
→ UMass Lowell (0.12 D1 FR PPG)
0.22 Developing
NCAAe PPG
Evan Janssen
USHL · 2012-13 · 0.45 PPG
→ Denver (0.14 D1 FR PPG)
0.25 Developing
NCAAe PPG
Alexander Dahl
USHL · 2012-13 · 0.38 PPG
→ St. Lawrence (0.30 D1 FR PPG)
0.21 Developing
NCAAe PPG
Eric Freschi
USHL · 2012-13 · 0.51 PPG
→ Cornell (0.10 D1 FR PPG)
0.28 Developing
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

John Barone
Plymouth State · 2015-16
0.880 Strong
actual D2/3 PPG
Timmy Nicksic
St. Norbert · 2015-16
0.581 Average
actual D2/3 PPG
Jonathan Horn
Tufts · 2021-22
0.867 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.