| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Collingwood Blues | OJHL | 51 | 4 | 18 | 22 | 0.431 | 0.1057 | 0.1077 | 0.2970 | 0.3026 |
| 2017-18 | — | NAHL | 53 | 2 | 17 | 19 | 0.358 | 0.1317 | 0.1309 | 0.3784 | 0.3761 |
| 2018-19 | Corpus Christi IceRays | NAHL | 58 | 6 | 34 | 40 | 0.690 | 0.2534 | 0.2405 | 0.7280 | 0.6911 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Army | D1 | AHA | SR | 36 | 5 | 24 | 29 | 0.806 |
| 2021-22 | Army | D1 | AHA | JR | 35 | 9 | 12 | 21 | 0.600 |
| 2020-21 | Army | D1 | AHA | SO | 22 | 5 | 8 | 13 | 0.591 |
| 2019-20 | Army | D1 | AHA | FR | 30 | 3 | 9 | 12 | 0.400 |
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.