| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | — | NTDP-U18 | 47 | 6 | 10 | 16 | 0.340 | 0.2639 | 0.2690 | 1.2669 | 1.2914 |
| 2017-18 | — | NTDP-U18 | 58 | 11 | 20 | 31 | 0.534 | 0.4145 | 0.4014 | 1.9894 | 1.9267 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Western Michigan | D1 | NCHC | SO | 30 | 2 | 12 | 14 | 0.467 |
| 2018-19 | Western Michigan | D1 | NCHC | FR | 35 | 5 | 7 | 12 | 0.343 |
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.