IcePath icepath.io · Hockey Analytics
← New Search ↗ Social Card

Tyler Briola Elite Prospects ↗

Position: Defense DOB: 1990-04-24 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
2008-09 Wichita Falls Wildcats NAHL 4 1 0 1 0.250 0.0888 0.0911 0.2625 0.2692
2009-10 Tri-City Storm USHL 6 0 0 0 0.000 — — — —
2010-11 Alaska Avalanche NAHL 46 6 9 15 0.326 0.1158 0.1082 0.3424 0.3200
■ 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
2012-13 Wisconsin-River Falls D3 — SO 28 2 3 5 0.179
2011-12 Wisconsin-River Falls D3 — FR 25 1 1 2 0.080
Pre-College Projection vs. Actual Freshman Year
Projected PPG
0.10
before college
→
Actual FR PPG
0.08
2011-12 · Wisconsin-River Falls
-20.4% vs. projection

NCAAe Rankings

#15312
Defenseman overall
#1586
Defenseman born in 1990
#4890
in NAHL

D1 Comparables

Marc-Antoine Carrier
QMJHL · 2012-13 · 0.37 PPG
→ Brown (0.04 D1 FR PPG)
0.16 Developing D
NCAAe PPG
Brandon Carlson
USHL · 2012-13 · 0.24 PPG
→ Alabama-Huntsville (0.11 D1 FR PPG)
0.13 Developing D
NCAAe PPG
Dominic Racobaldo
USHL · 2012-13 · 0.33 PPG
→ American International (0.12 D1 FR PPG)
0.18 Developing D
NCAAe PPG
Matt Krug
USHL · 2012-13 · 0.21 PPG
→ Union (0.11 D1 FR PPG)
0.11 Developing D
NCAAe PPG
Carter Foguth
USHL · 2012-13 · 0.08 PPG
→ Minnesota State (0.06 D1 FR PPG)
0.04 Developing D
NCAAe PPG

D2/3 Comparables

Joe Harren
St. John's · 2008-09
0.421 Average
actual D2/3 PPG
Lance Malark
Wisconsin-River Falls · 2004-05
0.368 Average
actual D2/3 PPG
Andy Singerhouse
St. Thomas · 2010-11
0.444 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.