| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Couchiching Terriers | OJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2009-10 | Couchiching Terriers | OJHL | 54 | 8 | 11 | 19 | 0.352 | 0.0863 | 0.0924 | 0.2423 | 0.2595 |
| 2011-12 | Milton Menace | OJHL | 2 | 0 | 1 | 1 | 0.500 | 0.1226 | 0.1202 | 0.3443 | 0.3375 |
| 2012-13 | Trenton Golden Hawks | OJHL | 50 | 16 | 34 | 50 | 1.000 | 0.2451 | 0.2280 | 0.6885 | 0.6405 |
| 2015-16 | Brock Univ. | USports-M | 23 | 6 | 8 | 14 | 0.609 | 0.3212 | 0.3161 | 1.7841 | 1.7560 |
| 2016-17 | Brock Univ. | USports-M | 26 | 7 | 13 | 20 | 0.769 | 0.4058 | 0.3795 | 2.2545 | 2.1083 |
| 2017-18 | Brock Univ. | USports-M | 27 | 4 | 13 | 17 | 0.630 | 0.3322 | 0.2956 | 1.8454 | 1.6419 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | SUNY Oswego | D3 | SUNYAC | SO | 13 | 1 | 5 | 6 | 0.462 |
| 2013-14 | SUNY Oswego | D3 | SUNYAC | FR | 12 | 2 | 4 | 6 | 0.500 |
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.