| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Vaughan Vipers | OJHL | 8 | 4 | 1 | 5 | 0.625 | 0.1532 | 0.1687 | 0.4303 | 0.4739 |
| 2010-11 | Villanova Knights | OJHL | 29 | 12 | 7 | 19 | 0.655 | 0.1606 | 0.1694 | 0.4511 | 0.4758 |
| 2011-12 | Chicago Steel | USHL | 44 | 10 | 28 | 38 | 0.864 | 0.5094 | 0.5085 | 2.5937 | 2.5891 |
| 2012-13 | — | USHL | 62 | 20 | 28 | 48 | 0.774 | 0.4567 | 0.4316 | 2.3252 | 2.1973 |
| 2023-24 | Västerviks IK | Allsvenskan | 15 | 2 | 2 | 4 | 0.267 | 0.6667 | 0.5030 | 2.5022 | 1.8878 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2016-17 | Bemidji State | D1 | WCHA | SR | 41 | 11 | 18 | 29 | 0.707 |
| 2015-16 | Bemidji State | D1 | WCHA | JR | 36 | 2 | 7 | 9 | 0.250 |
| 2014-15 | Bemidji State | D1 | WCHA | JR | 34 | 1 | 8 | 9 | 0.265 |
| 2013-14 | Bemidji State | D1 | WCHA | FR | 36 | 5 | 6 | 11 | 0.306 |
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.