| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Oakville Blades | OJHL | 39 | 1 | 4 | 5 | 0.128 | 0.0314 | 0.0337 | 0.0882 | 0.0946 |
| 2017-18 | Oakville Blades | OJHL | 53 | 3 | 16 | 19 | 0.358 | 0.0879 | 0.0901 | 0.2468 | 0.2529 |
| 2018-19 | Oakville Blades | OJHL | 54 | 12 | 43 | 55 | 1.018 | 0.2496 | 0.2436 | 0.7010 | 0.6840 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2023-24 | North Dakota | D1 | NCHC | — | 39 | 3 | 22 | 25 | 0.641 |
| 2022-23 | Alaska Fairbanks | D1 | WCHA | — | 34 | 4 | 15 | 19 | 0.559 |
| 2021-22 | Alaska Fairbanks | D1 | WCHA | — | 34 | 4 | 15 | 19 | 0.559 |
| 2020-21 | Alaska Fairbanks | D1 | WCHA | — | 0 | 0 | 0 | 0 | 0.000 |
| 2019-20 | Alaska Fairbanks | D1 | WCHA | FR | 15 | 0 | 3 | 3 | 0.200 |
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.