icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Estevan Bruins | SJHL | 34 | 5 | 3 | 8 | 0.235 | 0.0603 | 0.0629 | 0.1774 | 0.1852 |
| 2023-24 | Neepawa Titans | MJHL | 44 | 17 | 23 | 40 | 0.909 | 0.1750 | 0.1725 | 0.5733 | 0.5651 |
| 2024-25 | Neepawa Titans | MJHL | 54 | 19 | 29 | 48 | 0.889 | 0.1711 | 0.1593 | 0.5605 | 0.5217 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | University of Arizona | ACHA_D1 | — | — | 5 | 3 | 0 | 3 | 0.600 |
| 2024-25 | University of Arizona | ACHA_D1 | — | — | 5 | 3 | 0 | 3 | 0.600 |
| 2023-24 | University of Arizona | ACHA_D1 | — | — | 5 | 3 | 0 | 3 | 0.600 |
| 2022-23 | University of Arizona | ACHA_D1 | — | — | 5 | 3 | 0 | 3 | 0.600 |
| 2021-22 | University of Arizona | ACHA_D1 | — | — | 5 | 3 | 0 | 3 | 0.600 |
| 2020-21 | University of Arizona | ACHA_D1 | — | — | 5 | 3 | 0 | 3 | 0.600 |
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.