| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Toronto Patriots | OJHL | 25 | 2 | 9 | 11 | 0.440 | 0.1078 | 0.1183 | 0.3029 | 0.3324 |
| 2013-14 | Toronto Patriots | OJHL | 47 | 5 | 49 | 54 | 1.149 | 0.2816 | 0.2947 | 0.7910 | 0.8277 |
| 2022-23 | EHC Freiburg | DEL2 | 30 | 4 | 16 | 20 | 0.667 | 0.8931 | 0.8836 | 1.1963 | 1.1835 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | RPI | D1 | ECAC | SR | 37 | 0 | 19 | 19 | 0.513 |
| 2016-17 | RPI | D1 | ECAC | JR | 36 | 2 | 14 | 16 | 0.444 |
| 2015-16 | RPI | D1 | ECAC | SO | 40 | 4 | 15 | 19 | 0.475 |
| 2014-15 | RPI | D1 | ECAC | FR | 41 | 1 | 7 | 8 | 0.195 |
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.