| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Portage Terriers | MJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2015-16 | Portage Terriers | MJHL | 60 | 27 | 23 | 50 | 0.833 | 0.1604 | 0.1775 | 0.5255 | 0.5815 |
| 2016-17 | Portage Terriers | MJHL | 58 | 34 | 46 | 80 | 1.379 | 0.2655 | 0.2808 | 0.8698 | 0.9200 |
| 2017-18 | Portage Terriers | MJHL | 49 | 26 | 32 | 58 | 1.184 | 0.2279 | 0.2300 | 0.7464 | 0.7532 |
| 2018-19 | Portage Terriers | MJHL | 21 | 9 | 11 | 20 | 0.952 | 0.1833 | 0.1749 | 0.6006 | 0.5732 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Cornell | D1 | ECAC | FR | 6 | 0 | 0 | 0 | 0.000 |
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.