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Tyler Borgula Elite Prospects ↗

Position: Forward DOB: 2005-10-06 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
2022-23 Sioux Falls Stampede USHL 12 3 1 4 0.333 0.1966 0.2107 1.0010 1.0728
2023-24 Sioux Falls Stampede USHL 61 22 29 51 0.836 0.4932 0.5041 2.5111 2.5665
■ 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 Quinnipiac D1 ECAC SO 29 4 10 14 0.483
2024-25 Quinnipiac D1 ECAC — 38 12 13 25 0.658
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.33
before college
→
Actual FR PPG
0.66
2024-25 · Quinnipiac
+98.8% vs. projection

College Pathway Likelihood (based on 40 comparables)

90%
NCAA D1
0%
NCAA D2/D3
2%
Age-Out / Club
8%
Pro / Other

NCAAe Rankings

#10647
Forward overall
#471
Forward born in 2005
#936
in USHL

D1 Comparables

Luke Johnson
USHL · 2012-13 · 0.81 PPG
→ North Dakota (0.50 D1 FR PPG)
0.48 Average
NCAAe PPG
Tony Calderone
USHL · 2012-13 · 0.69 PPG
→ Michigan (0.32 D1 FR PPG)
0.41 Developing
NCAAe PPG
Jason Salvaggio
USHL · 2012-13 · 0.65 PPG
→ New Hampshire (0.11 D1 FR PPG)
0.39 Developing
NCAAe PPG
Alex Roos
USHL · 2012-13 · 0.73 PPG
→ Colorado College (0.49 D1 FR PPG)
0.44 Average
NCAAe PPG
C.J. Smith
NAHL · 2012-13 · 0.98 PPG
→ UMass Lowell (0.90 D1 FR PPG)
0.38 Elite
NCAAe PPG

D2/3 Comparables

Sascha Figi
Fitchburg State · 2016-17
1.429 Elite
actual D2/3 PPG
Ryan Reifler
Elmira · 2017-18
1.067 Elite
actual D2/3 PPG
Rihards Marenis
Aurora · 2013-14
1.000 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.