| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | — | BCHL | 50 | 2 | 10 | 12 | 0.240 | 0.0925 | 0.0911 | 0.3493 | 0.3441 |
| 2012-13 | Victoria Grizzlies | BCHL | 49 | 4 | 29 | 33 | 0.673 | 0.2595 | 0.2434 | 0.9801 | 0.9192 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | St. Thomas | D3 | CCHA | SR | 27 | 3 | 13 | 16 | 0.593 |
| 2015-16 | St. Thomas | D3 | CCHA | JR | 26 | 2 | 6 | 8 | 0.308 |
| 2014-15 | St. Thomas | D3 | CCHA | SO | 18 | 0 | 1 | 1 | 0.056 |
| 2013-14 | Bemidji State | D1 | WCHA | FR | 12 | 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.