icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2010-11 | Muskegon Lumberjacks | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2011-12 | U.S. National U17 Team | NTDP-U18 | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | Des Moines Buccaneers | USHL | 53 | 4 | 10 | 14 | 0.264 | 0.1682 | 0.1661 | 0.7917 | 0.7818 |
| 2013-14 | — | USHL | 46 | 8 | 12 | 20 | 0.435 | 0.2769 | 0.2605 | 1.3030 | 1.2259 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Northeastern | D1 | HockeyEast | SR | 13 | 1 | 14 | 15 | 1.154 |
| 2016-17 | Northeastern | D1 | HockeyEast | JR | 38 | 7 | 26 | 33 | 0.868 |
| 2015-16 | Northeastern | D1 | HockeyEast | SO | 37 | 8 | 14 | 22 | 0.595 |
| 2014-15 | Northeastern | D1 | HockeyEast | FR | 34 | 3 | 11 | 14 | 0.412 |
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.