| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Lansing Wolves | NA3HL | 44 | 27 | 33 | 60 | 1.364 | 0.1643 | 0.1671 | 0.4308 | 0.4381 |
| 2015-16 | Lansing Wolves | NA3HL | 39 | 22 | 35 | 57 | 1.462 | 0.1761 | 0.1705 | 0.4617 | 0.4470 |
| 2016-17 | Lansing Wolves | NA3HL | 39 | 25 | 19 | 44 | 1.128 | 0.1359 | 0.1247 | 0.3564 | 0.3271 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Bryn Athyn | D3 | — | JR | 23 | 6 | 9 | 15 | 0.652 |
| 2018-19 | Bryn Athyn | D3 | — | SO | 23 | 4 | 10 | 14 | 0.609 |
| 2017-18 | Bryn Athyn | D3 | — | FR | 13 | 1 | 6 | 7 | 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.