| 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 | — | AJHL | 50 | 5 | 4 | 9 | 0.180 | 0.0601 | 0.0608 | 0.1671 | 0.1692 |
| 2014-15 | Okotoks Oilers | AJHL | 60 | 13 | 19 | 32 | 0.533 | 0.1781 | 0.1708 | 0.4951 | 0.4749 |
| 2015-16 | Okotoks Oilers | AJHL | 60 | 34 | 25 | 59 | 0.983 | 0.3284 | 0.2997 | 0.9128 | 0.8331 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Adrian | D3 | NCHA | SR | 29 | 9 | 18 | 27 | 0.931 |
| 2018-19 | Adrian | D3 | NCHA | JR | 28 | 8 | 8 | 16 | 0.571 |
| 2017-18 | Adrian | D3 | NCHA | SO | 26 | 2 | 12 | 14 | 0.538 |
| 2016-17 | Adrian | D3 | NCHA | FR | 29 | 5 | 6 | 11 | 0.379 |
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.