| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Wichita Falls Wildcats | NAHL | 56 | 16 | 25 | 41 | 0.732 | 0.2718 | 0.2763 | 0.7751 | 0.7880 |
| 2016-17 | Sioux City Musketeers | USHL | 10 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | Babson | D3 | LittleEast | SR | 8 | 4 | 7 | 11 | 1.375 |
| 2019-20 | Babson | D3 | LittleEast | JR | 23 | 12 | 10 | 22 | 0.957 |
| 2018-19 | Babson | D3 | LittleEast | SO | 27 | 14 | 16 | 30 | 1.111 |
| 2017-18 | Babson | D3 | LittleEast | FR | 26 | 10 | 8 | 18 | 0.692 |
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.