| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Sioux Falls Stampede | USHL | 48 | 1 | 6 | 7 | 0.146 | 0.0896 | 0.0990 | 0.4296 | 0.4748 |
| 2012-13 | Cedar Rapids RoughRiders | USHL | 46 | 8 | 7 | 15 | 0.326 | 0.2005 | 0.2109 | 0.9608 | 1.0108 |
| 2013-14 | Cedar Rapids RoughRiders | USHL | 60 | 8 | 26 | 34 | 0.567 | 0.3484 | 0.3502 | 1.6696 | 1.6785 |
| 2014-15 | Cedar Rapids RoughRiders | USHL | 60 | 8 | 31 | 39 | 0.650 | 0.3996 | 0.3821 | 1.9150 | 1.8309 |
| 2023-24 | Växjö Lakers HC | SHL | 45 | 12 | 17 | 29 | 0.644 | 1.6110 | 1.4808 | — | — |
| 2024-25 | Växjö Lakers HC | SHL | 51 | 11 | 18 | 29 | 0.569 | 1.4215 | 1.2233 | — | — |
| 2025-26 | Växjö Lakers HC | SHL | 52 | 11 | 11 | 22 | 0.423 | 1.0577 | 1.0577 | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Canisius | D1 | AHA | SR | 37 | 19 | 21 | 40 | 1.081 |
| 2017-18 | Canisius | D1 | AHA | JR | 37 | 17 | 31 | 48 | 1.297 |
| 2016-17 | Canisius | D1 | AHA | SO | 39 | 14 | 19 | 33 | 0.846 |
| 2015-16 | Canisius | D1 | AHA | FR | 39 | 8 | 18 | 26 | 0.667 |
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.