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 | North York Rangers | OJHL | 3 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2024-25 | Niagara IceDogs | OHL | 62 | 8 | 31 | 39 | 0.629 | 0.3639 | 0.4011 | 1.6470 | 1.8153 |
| 2025-26 | Niagara IceDogs | OHL | 62 | 19 | 27 | 46 | 0.742 | 0.4292 | 0.4515 | 1.9426 | 2.0434 |
| 2026-27 | Saginaw Spirit | OHL | 6 | 7 | 6 | 13 | 2.167 | 1.2534 | 1.2534 | 5.6733 | 5.6733 |
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.