| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Collingwood Blues | OJHL | 50 | 10 | 13 | 23 | 0.460 | 0.1285 | 0.1310 | 0.3174 | 0.3237 |
| 2014-15 | Collingwood Blues | OJHL | 54 | 10 | 18 | 28 | 0.518 | 0.1449 | 0.1403 | 0.3578 | 0.3464 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Skidmore | D3 | SUNYAC | SR | 26 | 3 | 7 | 10 | 0.385 |
| 2017-18 | Skidmore | D3 | SUNYAC | JR | 25 | 5 | 3 | 8 | 0.320 |
| 2016-17 | Skidmore | D3 | SUNYAC | SO | 24 | 7 | 8 | 15 | 0.625 |
| 2015-16 | Skidmore | D3 | SUNYAC | FR | 25 | 4 | 13 | 17 | 0.680 |
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.