icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Corpus Christi IceRays | NAHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2023-24 | Boston Jr. Bruins | NCDC | 7 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Powassan VooDoos | NOJHL | 18 | 6 | 7 | 13 | 0.722 | 0.1206 | 0.1214 | 0.3007 | 0.3026 |
| 2025-26 | Hawkesbury Hawks | CCHL | 6 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Salem State | D3 | MASCAC | FR | 15 | 6 | 5 | 11 | 0.733 |
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.