| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Flin Flon Bombers | SJHL | 49 | 22 | 28 | 50 | 1.020 | 0.2614 | 0.2716 | 0.7692 | 0.7991 |
| 2018-19 | Flin Flon Bombers | SJHL | 54 | 22 | 32 | 54 | 1.000 | 0.2562 | 0.2529 | 0.7538 | 0.7442 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Bowling Green | D1 | CCHA | JR | 2 | 0 | 0 | 0 | 0.000 |
| 2021-22 | Bowling Green | D1 | CCHA | SO | 20 | 4 | 5 | 9 | 0.450 |
| 2020-21 | Bowling Green | D1 | WCHA | FR | 21 | 1 | 3 | 4 | 0.191 |
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.