icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | Jersey Hitmen | NCDC | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Johnstown Tomahawks | NAHL | 58 | 1 | 10 | 11 | 0.190 | 0.0697 | 0.0759 | 0.2005 | 0.2183 |
| 2025-26 | Johnstown Tomahawks | NAHL | 42 | 5 | 11 | 16 | 0.381 | 0.1400 | 0.1455 | — | — |
| 2026-27 | Johnstown Tomahawks | NAHL | 8 | 1 | 0 | 1 | 0.125 | 0.0459 | 0.0462 | 0.1321 | 0.1330 |
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.