| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | NAHL | 52 | 3 | 12 | 15 | 0.288 | 0.1071 | 0.1104 | 0.3055 | 0.3148 |
| 2013-14 | Soo Eagles | NAHL | 36 | 4 | 14 | 18 | 0.500 | 0.1857 | 0.1820 | 0.5294 | 0.5189 |
| 2014-15 | Soo Eagles | NAHL | 56 | 9 | 14 | 23 | 0.411 | 0.1525 | 0.1415 | 0.4348 | 0.4034 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Nichols | D3 | CNE | SR | 26 | 8 | 10 | 18 | 0.692 |
| 2017-18 | Nichols | D3 | CNE | JR | 30 | 8 | 26 | 34 | 1.133 |
| 2016-17 | Nichols | D3 | CNE | SO | 26 | 7 | 13 | 20 | 0.769 |
| 2015-16 | Nichols | D3 | CNE | FR | 26 | 5 | 9 | 14 | 0.538 |
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.