| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Prince George Spruce Kings | BCHL | 9 | 0 | 2 | 2 | 0.222 | 0.0856 | 0.0971 | 0.3232 | 0.3668 |
| 2016-17 | Prince George Spruce Kings | BCHL | 43 | 5 | 25 | 30 | 0.698 | 0.2688 | 0.2913 | 1.0147 | 1.0996 |
| 2017-18 | Prince George Spruce Kings | BCHL | 50 | 17 | 46 | 63 | 1.260 | 0.4855 | 0.5028 | 1.8325 | 1.8978 |
| 2025-26 | Mora IK | Allsvenskan | 51 | 17 | 17 | 34 | 0.667 | 1.6667 | 1.7266 | 6.2516 | 6.4763 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Quinnipiac | D1 | ECAC | — | 41 | 19 | 21 | 40 | 0.976 |
| 2021-22 | Quinnipiac | D1 | ECAC | — | 42 | 11 | 21 | 32 | 0.762 |
| 2020-21 | Quinnipiac | D1 | ECAC | — | 29 | 14 | 15 | 29 | 1.000 |
| 2019-20 | Quinnipiac | D1 | ECAC | — | 34 | 7 | 11 | 18 | 0.529 |
| 2018-19 | Quinnipiac | D1 | ECAC | — | 38 | 10 | 15 | 25 | 0.658 |
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.