| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Humboldt Broncos | SJHL | 47 | 0 | 5 | 5 | 0.106 | 0.0273 | 0.0288 | 0.0802 | 0.0847 |
| 2014-15 | Humboldt Broncos | SJHL | 53 | 5 | 22 | 27 | 0.509 | 0.1305 | 0.1311 | 0.3840 | 0.3856 |
| 2015-16 | Humboldt Broncos | SJHL | 28 | 6 | 10 | 16 | 0.571 | 0.1464 | 0.1398 | 0.4307 | 0.4113 |
| 2022-23 | — | Liiga | 39 | 2 | 6 | 8 | 0.205 | 0.5128 | 0.4820 | 1.7631 | 1.6572 |
| 2023-24 | SaiPa | Liiga | 39 | 1 | 4 | 5 | 0.128 | 0.3205 | 0.2911 | 1.1020 | 1.0009 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Clarkson | D1 | ECAC | SR | 32 | 1 | 6 | 7 | 0.219 |
| 2018-19 | Clarkson | D1 | ECAC | JR | 39 | 5 | 15 | 20 | 0.513 |
| 2017-18 | Clarkson | D1 | ECAC | SO | 38 | 0 | 8 | 8 | 0.210 |
| 2016-17 | Clarkson | D1 | ECAC | FR | 38 | 2 | 8 | 10 | 0.263 |
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.