| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Coulee Region Chill | NAHL | 6 | 1 | 1 | 2 | 0.333 | 0.1321 | 0.1458 | — | — |
| 2015-16 | Coulee Region Chill | NAHL | 51 | 9 | 7 | 16 | 0.314 | 0.1243 | 0.1317 | 0.3294 | 0.3490 |
| 2016-17 | Madison Capitols | USHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2017-18 | Whitecourt Wolverines | AJHL | 8 | 3 | 0 | 3 | 0.375 | 0.1244 | 0.1164 | 0.3475 | 0.3252 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Wilkes | D3 | MAC | GR | 26 | 7 | 9 | 16 | 0.615 |
| 2021-22 | Wilkes | D3 | MAC | SR | 25 | 14 | 12 | 26 | 1.040 |
| 2020-21 | Wilkes | D1 | — | JR | 11 | 3 | 4 | 7 | 0.636 |
| 2020-21 | Wilkes | D3 | MAC | JR | 11 | 3 | 4 | 7 | 0.636 |
| 2019-20 | Wilkes | D1 | — | SO | 29 | 11 | 9 | 20 | 0.690 |
| 2019-20 | Wilkes | D3 | MAC | SO | 29 | 11 | 9 | 20 | 0.690 |
| 2018-19 | Wilkes | D1 | — | FR | 26 | 10 | 3 | 13 | 0.500 |
| 2018-19 | Wilkes | D3 | MAC | FR | 26 | 10 | 3 | 13 | 0.500 |
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.