| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | Nanaimo Clippers | BCHL | 21 | 2 | 4 | 6 | 0.286 | 0.1101 | 0.1112 | 0.4158 | 0.4198 |
| 2016-17 | Springfield Jr. Blues | NAHL | 5 | 1 | 3 | 4 | 0.800 | 0.2939 | 0.2849 | 0.8444 | 0.8185 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Quinnipiac | D1 | ECAC | — | 0 | 0 | 0 | 0 | 0.000 |
| 2017-18 | 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.