icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Fargo Force | USHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | Fargo Force | USHL | 3 | 0 | 1 | 1 | 0.333 | 0.1966 | 0.2047 | 0.9820 | 1.0226 |
| 2020-21 | Chippewa Steel | NAHL | 43 | 4 | 16 | 20 | 0.465 | 0.1652 | 0.1652 | 1.4731 | 1.4731 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2024-25 | Miami | D1 | NCHC | — | 20 | 1 | 3 | 4 | 0.200 |
| 2023-24 | Miami | D1 | NCHC | — | 30 | 1 | 7 | 8 | 0.267 |
| 2022-23 | Long Island Univ. | D1 | AHA | — | 34 | 1 | 12 | 13 | 0.382 |
| 2021-22 | Long Island Univ. | D1 | AHA | — | 34 | 7 | 13 | 20 | 0.588 |
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.