| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | Calgary Mustangs | AJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Calgary Mustangs | AJHL | 50 | 5 | 6 | 11 | 0.220 | 0.0738 | 0.0751 | 0.2036 | 0.2071 |
| 2014-15 | Calgary Mustangs | AJHL | 60 | 16 | 26 | 42 | 0.700 | 0.2348 | 0.2264 | 0.6478 | 0.6247 |
| 2015-16 | Calgary Mustangs | AJHL | 52 | 15 | 32 | 47 | 0.904 | 0.3031 | 0.2782 | 0.8364 | 0.7676 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Adrian | D1 | NCHA | SR | 8 | 5 | 5 | 10 | 1.250 |
| 2019-20 | Adrian | D3 | NCHA | SR | 8 | 5 | 5 | 10 | 1.250 |
| 2018-19 | Adrian | D1 | NCHA | JR | 19 | 3 | 2 | 5 | 0.263 |
| 2018-19 | Adrian | D3 | NCHA | JR | 19 | 3 | 2 | 5 | 0.263 |
| 2017-18 | Adrian | D3 | NCHA | SO | 20 | 0 | 7 | 7 | 0.350 |
| 2016-17 | Adrian | D3 | NCHA | FR | 29 | 14 | 15 | 29 | 1.000 |
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.