icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2014-15 | Aurora Tigers | OJHL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2019-20 | Oswego | D1 | — | SR | 26 | 7 | 20 | 27 | 1.038 |
| 2019-20 | SUNY Oswego | D3 | — | — | 26 | 7 | 20 | 27 | 1.038 |
| 2018-19 | Oswego | D1 | — | JR | 28 | 9 | 21 | 30 | 1.071 |
| 2018-19 | SUNY Oswego | D3 | — | — | 28 | 9 | 21 | 30 | 1.071 |
| 2017-18 | Buffalo State | D3 | SUNYAC | — | 26 | 7 | 21 | 28 | 1.077 |
| 2016-17 | Buffalo State | D3 | SUNYAC | — | 27 | 9 | 20 | 29 | 1.074 |
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.