icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Blind River Beavers | NOJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2020-21 | Blind River Beavers | NOJHL | 21 | 7 | 12 | 19 | 0.905 | 0.1511 | 0.1511 | 0.3767 | 0.3767 |
| 2021-22 | Trenton Golden Hawks | OJHL | 53 | 18 | 23 | 41 | 0.774 | 0.1896 | 0.2033 | 0.5326 | 0.5712 |
| 2022-23 | Sudbury Wolves | OHL | 29 | 2 | 3 | 5 | 0.172 | 0.0997 | 0.1000 | 0.4430 | 0.4443 |
| 2023-24 | Sudbury Wolves | OHL | 38 | 0 | 1 | 1 | 0.026 | 0.0152 | 0.0145 | 0.0676 | 0.0646 |
| 2024-25 | Trenton Golden Hawks | OJHL | 52 | 25 | 35 | 60 | 1.154 | 0.2828 | 0.2596 | 0.7944 | 0.7293 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | SUNY Plattsburgh | D3 | SUNYAC | FR | 3 | 0 | 1 | 1 | 0.333 |
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.