| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Flin Flon Bombers | SJHL | 55 | 21 | 20 | 41 | 0.746 | 0.2271 | 0.2389 | 0.5525 | 0.5812 |
| 2023-24 | Flin Flon Bombers | SJHL | 56 | 32 | 40 | 72 | 1.286 | 0.3916 | 0.3933 | 0.9528 | 0.9569 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | Bemidji State | D1 | CCHA | SO | 21 | 1 | 4 | 5 | 0.238 |
| 2024-25 | Bemidji State | D1 | CCHA | — | 9 | 1 | 0 | 1 | 0.111 |
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.