| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Collingwood Blues | OJHL | 29 | 2 | 5 | 7 | 0.241 | 0.0725 | 0.0812 | 0.1652 | 0.1851 |
| 2012-13 | Collingwood Blues | OJHL | 36 | 4 | 4 | 8 | 0.222 | 0.0667 | 0.0714 | 0.1521 | 0.1628 |
| 2013-14 | Collingwood Blues | OJHL | 53 | 29 | 43 | 72 | 1.359 | 0.4081 | 0.4160 | 0.9299 | 0.9480 |
| 2014-15 | Collingwood Blues | OJHL | 39 | 28 | 41 | 69 | 1.769 | 0.5315 | 0.5143 | 1.2110 | 1.1719 |
| 2022-23 | Heilbronner Falken | DEL2 | 52 | 19 | 40 | 59 | 1.135 | 0.4895 | 0.4711 | — | — |
| 2023-24 | EV Landshut | DEL2 | 23 | 9 | 12 | 21 | 0.913 | 0.3939 | 0.3680 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Robert Morris | D1 | — | SR | 39 | 19 | 20 | 39 | 1.000 |
| 2017-18 | Robert Morris | D1 | — | JR | 41 | 17 | 27 | 44 | 1.073 |
| 2016-17 | Robert Morris | D1 | — | SO | 38 | 20 | 24 | 44 | 1.158 |
| 2015-16 | Robert Morris | D1 | — | FR | 28 | 0 | 11 | 11 | 0.393 |
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.