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 | Salisbury School | NE-Prep | 27 | 0 | 1 | 1 | 0.037 | 0.0071 | 0.0071 | 0.0169 | 0.0169 |
| 2020-21 | New Mexico Ice Wolves | NAHL | 10 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | New Mexico Ice Wolves | NAHL | 27 | 1 | 1 | 2 | 0.074 | 0.0263 | 0.0249 | 0.0778 | 0.0736 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Hamline | D3 | MIAC | SR | 25 | 1 | 2 | 3 | 0.120 |
| 2024-25 | Hamline | D3 | MIAC | JR | 9 | 0 | 0 | 0 | 0.000 |
| 2023-24 | Hamline | D3 | MIAC | SO | 7 | 0 | 0 | 0 | 0.000 |
| 2022-23 | Hamline | D3 | MIAC | FR | 15 | 1 | 0 | 1 | 0.067 |
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.