| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | St. Michael's Buzzers | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2018-19 | St. Michael's Buzzers | OJHL | 52 | 16 | 29 | 45 | 0.865 | 0.2600 | 0.2911 | 0.5924 | 0.6633 |
| 2019-20 | St. Michael's Buzzers | OJHL | 45 | 18 | 40 | 58 | 1.289 | 0.3872 | 0.3872 | 0.8823 | 0.8823 |
| 2020-21 | Dubuque Fighting Saints | USHL | 37 | 2 | 14 | 16 | 0.432 | 0.2658 | 0.2658 | 1.2739 | 1.2739 |
| 2021-22 | — | USHL | 59 | 18 | 16 | 34 | 0.576 | 0.3543 | 0.3396 | 1.6979 | 1.6274 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Buffalo | ACHA_D1 | — | — | 12 | 1 | 1 | 2 | 0.167 |
| 2025-26 | Colorado College | D1 | NCHC | SR | 34 | 4 | 11 | 15 | 0.441 |
| 2024-25 | Arizona State | D1 | NCHC | SR | 31 | 3 | 5 | 8 | 0.258 |
| 2024-25 | Buffalo | ACHA_D1 | — | — | 12 | 1 | 1 | 2 | 0.167 |
| 2023-24 | Arizona State | D1 | NCHC | JR | 27 | 3 | 7 | 10 | 0.370 |
| 2023-24 | Buffalo | ACHA_D1 | — | — | 12 | 1 | 1 | 2 | 0.167 |
| 2022-23 | Arizona State | D1 | NCHC | SO | 35 | 11 | 6 | 17 | 0.486 |
| 2022-23 | Buffalo | ACHA_D1 | — | — | 12 | 1 | 1 | 2 | 0.167 |
| 2021-22 | Buffalo | ACHA_D1 | — | — | 12 | 1 | 1 | 2 | 0.167 |
| 2020-21 | Buffalo | ACHA_D1 | — | — | 12 | 1 | 1 | 2 | 0.167 |
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.