icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2021-22 | Waterloo Black Hawks | USHL | 7 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | — | NAHL | 34 | 2 | 6 | 8 | 0.235 | 0.0864 | 0.0942 | — | — |
| 2023-24 | — | NAHL | 57 | 6 | 13 | 19 | 0.333 | 0.1225 | 0.1277 | 0.3523 | 0.3673 |
| 2024-25 | Madison Capitols | USHL | 28 | 1 | 4 | 5 | 0.179 | 0.1054 | 0.0997 | 0.5359 | 0.5069 |
| 2025-26 | Salmon Arm Silverbacks | BCHL | 46 | 4 | 7 | 11 | 0.239 | 0.0921 | 0.0862 | 0.3477 | 0.3255 |
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.