icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2009-10 | Barrie Colts | OHL | 5 | 1 | 1 | 2 | 0.400 | 0.2314 | 0.2540 | 1.0278 | 1.1284 |
| 2010-11 | Barrie Colts | OHL | 38 | 8 | 4 | 12 | 0.316 | 0.1827 | 0.1915 | 0.8114 | 0.8505 |
| 2011-12 | Barrie Colts | OHL | 58 | 19 | 40 | 59 | 1.017 | 0.5885 | 0.5868 | 2.6137 | 2.6061 |
| 2012-13 | Barrie Colts | OHL | 63 | 24 | 57 | 81 | 1.286 | 0.7438 | 0.7044 | 3.3036 | 3.1285 |
| 2013-14 | Barrie Colts | OHL | 57 | 16 | 54 | 70 | 1.228 | 0.7105 | 0.6365 | 3.1556 | 2.8269 |
| 2014-15 | St. Thomas Univ. | USports-M | 10 | 5 | 4 | 9 | 0.900 | 0.4748 | 0.5062 | 2.6379 | 2.8123 |
| 2015-16 | St. Thomas Univ. | USports-M | 4 | 1 | 1 | 2 | 0.500 | 0.2638 | 0.2682 | 1.4655 | 1.4902 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2025-26 | West Virginia University | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2024-25 | West Virginia University | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2023-24 | West Virginia University | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2022-23 | West Virginia University | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2021-22 | West Virginia University | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
| 2020-21 | West Virginia University | ACHA_D1 | — | — | 7 | 0 | 0 | 0 | 0.000 |
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.