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 | Sioux Falls Stampede | USHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Belmont Hill | NE-Prep | 30 | 9 | 14 | 23 | 0.767 | 0.1519 | 0.1519 | 0.3493 | 0.3493 |
| 2023-24 | Alberni Valley Bulldogs | BCHL | 54 | 4 | 15 | 19 | 0.352 | 0.1356 | 0.1382 | 0.5121 | 0.5218 |
| 2024-25 | Owen Sound Attack | OHL | 20 | 1 | 9 | 10 | 0.500 | 0.2893 | 0.2722 | 1.2848 | 1.2089 |
| 2025-26 | Owen Sound Attack | OHL | 67 | 13 | 35 | 48 | 0.716 | 0.4144 | 0.3691 | 1.8408 | 1.6395 |
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.