| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Newmarket Hurricanes | OJHL | 1 | 1 | 0 | 1 | 1.000 | 0.2451 | 0.2697 | 0.6883 | 0.7573 |
| 2009-10 | Toronto Dixie Beehives | OJHL | 49 | 20 | 26 | 46 | 0.939 | 0.2301 | 0.2411 | 0.6462 | 0.6770 |
| 2010-11 | Fresno Monsters | NAHL | 19 | 2 | 6 | 8 | 0.421 | 0.1547 | 0.1593 | 0.4451 | 0.4582 |
| 2011-12 | Georgetown Raiders | OJHL | 44 | 15 | 14 | 29 | 0.659 | 0.1615 | 0.1546 | 0.4537 | 0.4342 |
| 2012-13 | Alberni Valley Bulldogs | BCHL | 52 | 20 | 26 | 46 | 0.885 | 0.3408 | 0.3120 | 1.2866 | 1.1778 |
| 2014-15 | Univ. of Lethbridge | USports-M | 15 | 0 | 3 | 3 | 0.200 | 0.1055 | 0.1066 | 0.5861 | 0.5922 |
| 2015-16 | Univ. of Guelph | USports-M | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2016-17 | Univ. of Guelph | USports-M | 28 | 8 | 9 | 17 | 0.607 | 0.3203 | 0.2921 | 1.7790 | 1.6225 |
| 2017-18 | Univ. of Guelph | USports-M | 28 | 7 | 16 | 23 | 0.821 | 0.4334 | 0.3756 | 2.4069 | 2.0858 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | SUNY Oswego | D3 | SUNYAC | FR | 4 | 0 | 3 | 3 | 0.750 |
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.