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Tim DeBord Elite Prospects ↗

Position: Forward DOB: 2000-05-11 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
2018-19 New Jersey Jr. Titans NAHL 5 2 0 2 0.400 0.1470 0.1532 0.4222 0.4400
2019-20 New Jersey 87's EHL 37 18 33 51 1.378 0.3184 0.3184 0.6745 0.6745
2020-21 New Jersey 87's EHL 32 14 30 44 1.375 0.3176 0.3176 0.6728 0.6728
■ 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
2022-23 Lawrence D3 NCHA — 7 0 1 1 0.143
2021-22 Lawrence D3 NCHA — 10 1 2 3 0.300
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.13
before college
→
Actual FR PPG
0.30
2021-22 · Lawrence
+128.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

22%
NCAA D1
8%
NCAA D2/D3
70%
Pro / Other

NCAAe Rankings

#7466
Forward overall
#319
Forward born in 2000

D1 Comparables

Josh Nenadal
USHL · 2012-13 · 0.30 PPG
→ Lake Superior State (0.16 D1 FR PPG)
0.17 Developing
NCAAe PPG
Jason Ford
USHL · 2012-13 · 0.20 PPG
→ Wisconsin (0.04 D1 FR PPG)
0.12 Developing
NCAAe PPG
Tyler Pham
USHL · 2012-13 · 0.39 PPG
→ Army (0.91 D1 FR PPG)
0.23 Elite
NCAAe PPG
Brad Hawkinson
USHL · 2012-13 · 0.32 PPG
→ Denver
0.19 No data
NCAAe PPG
Gage Torrel
USHL · 2012-13 · 0.31 PPG
→ Lake Superior State (0.50 D1 FR PPG)
0.18 Average
NCAAe PPG

D2/3 Comparables

Easton Ryan
Hobart · 2021-22
0.450 Average
actual D2/3 PPG
Carson Simon
Hamline · 2018-19
0.500 Average
actual D2/3 PPG
Khristian Acosta
Utica · 2016-17
0.423 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.