| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | King Rebellion | OJHL | 47 | 23 | 39 | 62 | 1.319 | 0.3233 | 0.3414 | 0.9082 | 0.9590 |
| 2012-13 | Oakville Blades | OJHL | 53 | 29 | 65 | 94 | 1.774 | 0.4347 | 0.4374 | 1.2211 | 1.2286 |
| 2013-14 | Surrey Eagles | BCHL | 52 | 20 | 41 | 61 | 1.173 | 0.4520 | 0.4376 | 1.7072 | 1.6530 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Alaska Anchorage | D1 | WCHA | JR | 27 | 2 | 3 | 5 | 0.185 |
| 2017-18 | Alaska Anchorage | D1 | WCHA | JR | 26 | 3 | 11 | 14 | 0.538 |
| 2016-17 | Alaska Anchorage | D1 | WCHA | SO | 33 | 3 | 6 | 9 | 0.273 |
| 2014-15 | Quinnipiac | D1 | ECAC | — | 0 | 0 | 0 | 0 | 0.000 |
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.