| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Indiana Ice | USHL | 25 | 0 | 5 | 5 | 0.200 | 0.1180 | 0.1280 | 0.5892 | 0.6394 |
| 2013-14 | — | USHL | 40 | 1 | 5 | 6 | 0.150 | 0.0885 | 0.0919 | 0.4419 | 0.4589 |
| 2014-15 | South Shore Kings | USPHL-Premier-Classic | 43 | 4 | 16 | 20 | 0.465 | 0.1306 | 0.1360 | 0.3831 | 0.3989 |
| 2015-16 | South Shore Kings | USPHL-Premier-Classic | 21 | 0 | 9 | 9 | 0.429 | 0.1203 | 0.1194 | 0.3530 | 0.3502 |
| 2016-17 | Minnesota Magicians | NAHL | 43 | 4 | 14 | 18 | 0.419 | 0.1487 | 0.1372 | 0.4395 | 0.4055 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Hamline | D1 | — | JR | 14 | 1 | 7 | 8 | 0.571 |
| 2019-20 | Hamline | D3 | MIAC | JR | 14 | 1 | 7 | 8 | 0.571 |
| 2018-19 | Hamline | D1 | — | SO | 25 | 0 | 4 | 4 | 0.160 |
| 2018-19 | Hamline | D3 | MIAC | SO | 25 | 0 | 4 | 4 | 0.160 |
| 2017-18 | Hamline | D3 | MIAC | FR | 14 | 0 | 4 | 4 | 0.286 |
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.