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 | Mandan (N.D.) | USHS-MN | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | — | NAHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2022-23 | Austin Bruins | NAHL | 37 | 3 | 5 | 8 | 0.216 | 0.0768 | 0.0755 | 0.2270 | 0.2232 |
| 2023-24 | — | NAHL | 41 | 2 | 3 | 5 | 0.122 | 0.0433 | 0.0405 | 0.1281 | 0.1199 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Saint Mary's (MN) | D3 | MIAC | SO | 19 | 1 | 1 | 2 | 0.105 |
| 2024-25 | Saint Mary's (MN) | D3 | MIAC | FR | 6 | 0 | 0 | 0 | 0.000 |
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.