| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Elliot Lake Bobcats | NOJHL | 44 | 13 | 11 | 24 | 0.545 | 0.0920 | 0.0985 | 0.2267 | 0.2428 |
| 2013-14 | Elliot Lake Bobcats | NOJHL | 56 | 23 | 27 | 50 | 0.893 | 0.1505 | 0.1540 | 0.3710 | 0.3797 |
| 2014-15 | Iroquois Falls Storm | NOJHL | 46 | 47 | 18 | 65 | 1.413 | 0.2382 | 0.2300 | 0.5871 | 0.5669 |
| 2015-16 | Iroquois Falls Storm | NOJHL | 54 | 39 | 47 | 86 | 1.593 | 0.2685 | 0.2464 | 0.6617 | 0.6072 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | St. Scholastica | D3 | — | SR | 19 | 3 | 5 | 8 | 0.421 |
| 2018-19 | St. Scholastica | D3 | — | JR | 23 | 5 | 4 | 9 | 0.391 |
| 2017-18 | St. Scholastica | D3 | — | SO | 12 | 3 | 1 | 4 | 0.333 |
| 2016-17 | St. Scholastica | D3 | — | FR | 9 | 0 | 1 | 1 | 0.111 |
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.