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Tanner Klimpke Elite Prospects ↗

Position: Forward DOB: 2002-12-13 Country: Canada
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 Battlefords North Stars SJHL 3 0 0 0 0.000 — — — —
2021-22 Olds Grizzlys AJHL 29 11 6 17 0.586 0.1945 0.1949 0.5433 0.5444
2022-23 — AJHL 60 33 25 58 0.967 0.3208 0.3056 0.8959 0.8533
■ 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 Robert Morris D1 AHA JR 40 16 15 31 0.775
2024-25 Robert Morris D1 AHA SR 26 10 13 23 0.885
2023-24 Robert Morris D1 AHA JR 37 15 11 26 0.703
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.22
before college
→
Actual FR PPG
0.70
2023-24 · Robert Morris
+214.1% vs. projection

College Pathway Likelihood (based on 40 comparables)

40%
NCAA D1
5%
NCAA D2/D3
45%
Age-Out / Club
10%
Pro / Other

NCAAe Rankings

#23185
Forward overall
#1286
Forward born in 2002

D1 Comparables

Joseph-Matthew Manno
USHL · 2012-13 · 0.63 PPG
→ Northeastern (0.22 D1 FR PPG)
0.36 Developing
NCAAe PPG
Max Birkinbine
USHL · 2012-13 · 0.46 PPG
→ Air Force (0.14 D1 FR PPG)
0.26 Developing
NCAAe PPG
Cullen Hurley
USHL · 2012-13 · 0.38 PPG
→ Wisconsin
0.22 No data
NCAAe PPG
Ryan Siiro
USHL · 2012-13 · 0.52 PPG
→ Princeton (0.38 D1 FR PPG)
0.30 Average
NCAAe PPG
Gerald Mayhew
USHL · 2012-13 · 0.75 PPG
→ Ferris State (0.56 D1 FR PPG)
0.43 Strong
NCAAe PPG

D2/3 Comparables

Devin Warfield
Daniel Webster · 2015-16
0.500 Average
actual D2/3 PPG
Mitch Fritz
Saint John's · 2014-15
1.071 Elite
actual D2/3 PPG
A.J. Tucker
St. Scholastica · 2003-04
1.111 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.