| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Sudbury Nickel Barons | NOJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Soo Thunderbirds | NOJHL | 49 | 9 | 23 | 32 | 0.653 | 0.1091 | 0.1194 | 0.2719 | 0.2977 |
| 2015-16 | Soo Thunderbirds | NOJHL | 46 | 14 | 34 | 48 | 1.044 | 0.1743 | 0.1825 | 0.4344 | 0.4548 |
| 2017-18 | Trenton Golden Hawks | OJHL | 54 | 24 | 22 | 46 | 0.852 | 0.2088 | 0.1958 | 0.5865 | 0.5500 |
| 2018-19 | Lakehead Univ. | USports-M | 25 | 7 | 6 | 13 | 0.520 | 0.2744 | 0.3007 | 1.5241 | 1.6704 |
| 2019-20 | Lakehead Univ. | USports-M | 24 | 0 | 5 | 5 | 0.208 | 0.1099 | 0.1099 | 0.6105 | 0.6105 |
| 2020-21 | Lakehead Univ. | USports-M | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2021-22 | Brock Univ. | USports-M | 12 | 2 | 5 | 7 | 0.583 | 0.3077 | 0.2933 | 1.7097 | 1.6298 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Niagara | D1 | AHA | FR | 20 | 1 | 4 | 5 | 0.250 |
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.