icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Boston Jr. Rangers | EHL | 16 | 3 | 10 | 13 | 0.812 | 0.1877 | 0.1864 | 0.3976 | 0.3949 |
| 2016-17 | Wilkes-Barre/Scranton Knights | NAHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | King's | D3 | MAC | — | 23 | 1 | 1 | 2 | 0.087 |
| 2021-22 | King's | D3 | MAC | — | 8 | 0 | 3 | 3 | 0.375 |
| 2018-19 | St. Scholastica | D1 | MIAC | SO | 23 | 0 | 4 | 4 | 0.174 |
| 2018-19 | St. Scholastica | D3 | MIAC | — | 23 | 0 | 4 | 4 | 0.174 |
| 2017-18 | Lawrence | D3 | NCHA | — | 26 | 5 | 9 | 14 | 0.538 |
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.