icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2012-13 | — | OJHL | 28 | 0 | 5 | 5 | 0.179 | 0.0537 | 0.0554 | 0.1223 | 0.1261 |
| 2013-14 | Pickering Panthers | OJHL | 38 | 3 | 9 | 12 | 0.316 | 0.0949 | 0.0930 | 0.2162 | 0.2119 |
| 2014-15 | Newmarket Hurricanes | OJHL | 5 | 0 | 1 | 1 | 0.200 | 0.0601 | 0.0558 | 0.1369 | 0.1271 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | Hamilton | D1 | — | SR | 12 | 0 | 0 | 0 | 0.000 |
| 2018-19 | Hamilton | D3 | NESCAC | SR | 12 | 0 | 0 | 0 | 0.000 |
| 2017-18 | Hamilton | D3 | NESCAC | JR | 13 | 0 | 1 | 1 | 0.077 |
| 2016-17 | Hamilton | D3 | NESCAC | SO | 8 | 0 | 0 | 0 | 0.000 |
| 2015-16 | Hamilton | D3 | NESCAC | FR | 5 | 1 | 1 | 2 | 0.400 |
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.