| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Spruce Grove Saints | AJHL | 3 | 1 | 0 | 1 | 0.333 | 0.1118 | 0.1232 | 0.3084 | 0.3399 |
| 2014-15 | Penticton Vees | BCHL | 49 | 9 | 31 | 40 | 0.816 | 0.3145 | 0.3335 | 1.1880 | 1.2599 |
| 2015-16 | Penticton Vees | BCHL | 8 | 1 | 5 | 6 | 0.750 | 0.2890 | 0.2910 | 1.0915 | 1.0991 |
| 2016-17 | Penticton Vees | BCHL | 14 | 2 | 6 | 8 | 0.571 | 0.2202 | 0.2105 | 0.8316 | 0.7949 |
| 2021-22 | KalPa | Liiga | 18 | 3 | 1 | 4 | 0.222 | 0.5555 | 0.5684 | 1.9101 | 1.9544 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2020-21 | North Dakota | D1 | NCHC | SR | 21 | 1 | 3 | 4 | 0.191 |
| 2019-20 | North Dakota | D1 | NCHC | JR | 22 | 2 | 3 | 5 | 0.227 |
| 2018-19 | North Dakota | D1 | NCHC | SO | 36 | 5 | 7 | 12 | 0.333 |
| 2017-18 | North Dakota | D1 | NCHC | FR | 27 | 1 | 10 | 11 | 0.407 |
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.