icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2015-16 | — | MJHL | 41 | 3 | 7 | 10 | 0.244 | 0.0470 | 0.0479 | 0.1538 | 0.1569 |
| 2016-17 | Neepawa Titans | MJHL | 2 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2022-23 | Curry | D3 | CNE | GR | 22 | 8 | 8 | 16 | 0.727 |
| 2021-22 | Curry | D3 | CNE | SR | 18 | 6 | 11 | 17 | 0.944 |
| 2020-21 | Curry | D1 | CNE | JR | 5 | 1 | 0 | 1 | 0.200 |
| 2020-21 | Curry | D3 | CNE | JR | 5 | 1 | 0 | 1 | 0.200 |
| 2019-20 | Curry | D1 | CNE | SO | 18 | 1 | 2 | 3 | 0.167 |
| 2019-20 | Curry | D3 | CNE | SO | 18 | 1 | 2 | 3 | 0.167 |
| 2018-19 | Curry | D1 | CNE | FR | 23 | 1 | 4 | 5 | 0.217 |
| 2018-19 | Curry | D3 | CNE | FR | 23 | 1 | 4 | 5 | 0.217 |
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.