| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Tri-City Storm | USHL | 5 | 1 | 0 | 1 | 0.200 | 0.1180 | 0.1235 | 0.6007 | 0.6288 |
| 2013-14 | Tri-City Storm | USHL | 32 | 2 | 2 | 4 | 0.125 | 0.0737 | 0.0737 | 0.3754 | 0.3754 |
| 2014-15 | Salmon Arm Silverbacks | BCHL | 26 | 7 | 3 | 10 | 0.385 | 0.1482 | 0.1449 | 0.5597 | 0.5474 |
| 2015-16 | Salmon Arm Silverbacks | BCHL | 37 | 16 | 26 | 42 | 1.135 | 0.4374 | 0.4043 | 1.6519 | 1.5271 |
| 2023-24 | — | Allsvenskan | 30 | 13 | 4 | 17 | 0.567 | 1.4167 | 1.2129 | 5.3167 | 4.5518 |
| 2024-25 | EV Landshut | DEL2 | 22 | 12 | 13 | 25 | 1.136 | 1.5223 | 1.3321 | 2.0392 | 1.7844 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Canisius | D1 | AHA | SR | 31 | 18 | 14 | 32 | 1.032 |
| 2018-19 | Canisius | D1 | AHA | JR | 34 | 13 | 13 | 26 | 0.765 |
| 2017-18 | Canisius | D1 | AHA | SO | 38 | 16 | 15 | 31 | 0.816 |
| 2016-17 | Canisius | D1 | AHA | FR | 37 | 13 | 11 | 24 | 0.649 |
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.