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Grant Docter Elite Prospects ↗

Position: Defense DOB: 2000-12-06 Country: USA
No commitment set

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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
2018-19 Madison Capitols USHL 4 0 1 1 0.250 0.1475 0.1523 0.7509 0.7754
2019-20 — USHL 49 0 14 14 0.286 0.1685 0.1685 0.8581 0.8581
2020-21 Minnesota Wilderness NAHL 56 18 22 40 0.714 0.2624 0.2624 0.7539 0.7539
■ 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 St. Thomas D1 CCHA — 22 0 7 7 0.318
2022-23 St. Thomas D1 CCHA — 25 1 4 5 0.200
2021-22 Michigan Tech D1 CCHA — 6 0 1 1 0.167
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.14
before college
→
Actual FR PPG
0.17
2021-22 · Michigan Tech
+15.9% vs. projection

College Pathway Likelihood (based on 40 comparables)

42%
NCAA D1
2%
NCAA D2/D3
55%
Pro / Other

NCAAe Rankings

#4888
Defenseman overall
#1051
Defenseman born in 2000

D1 Comparables

Garrett Cecere
USHL · 2012-13 · 0.28 PPG
→ Colorado College (0.09 D1 FR PPG)
0.17 Developing D
NCAAe PPG
Ruslan Pedan
USHL · 2012-13 · 0.33 PPG
→ Bemidji State (0.34 D1 FR PPG)
0.20 Strong D
NCAAe PPG
Gustav Olofsson
USHL · 2012-13 · 0.37 PPG
→ Colorado College (0.27 D1 FR PPG)
0.22 Average D
NCAAe PPG
Clint Lewis
USHL · 2012-13 · 0.30 PPG
→ Cornell (0.06 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Alec McCrea
USHL · 2012-13 · 0.16 PPG
→ Cornell (0.44 D1 FR PPG)
0.10 Strong D
NCAAe PPG

D2/3 Comparables

Carter Roo
Wisconsin-Stevens Point · 2014-15
0.593 Average
actual D2/3 PPG
Brogan Shea
UMass Dartmouth · 2021-22
0.385 Average
actual D2/3 PPG
Toby Sengvongxay
Gustavus Adolphus · 2014-15
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.