| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Waterloo Black Hawks | USHL | 20 | 2 | 4 | 6 | 0.300 | 0.1770 | 0.1897 | 0.9002 | 0.9650 |
| 2014-15 | — | USHL | 35 | 1 | 4 | 5 | 0.143 | 0.0843 | 0.0862 | 0.4288 | 0.4386 |
| 2015-16 | South Shore Kings | USPHL-Premier-Classic | 32 | 9 | 16 | 25 | 0.781 | 0.2193 | 0.2249 | 0.6422 | 0.6587 |
| 2016-17 | Minnesota Wilderness | NAHL | 29 | 5 | 3 | 8 | 0.276 | 0.1014 | 0.0970 | 0.2916 | 0.2788 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Colorado College | D1 | NCHC | — | 11 | 0 | 0 | 0 | 0.000 |
| 2017-18 | Colorado College | D1 | NCHC | — | 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.