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 | Okotoks Oilers | AJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2014-15 | Canmore Eagles | AJHL | 49 | 13 | 19 | 32 | 0.653 | 0.2190 | 0.2299 | 0.6044 | 0.6346 |
| 2015-16 | Canmore Eagles | AJHL | 57 | 27 | 45 | 72 | 1.263 | 0.4237 | 0.4252 | 1.1690 | 1.1731 |
| 2016-17 | Canmore Eagles | AJHL | 56 | 32 | 65 | 97 | 1.732 | 0.5809 | 0.5546 | 1.6029 | 1.5304 |
| 2018-19 | Carleton Univ. | USports-M | 25 | 7 | 7 | 14 | 0.560 | 0.2955 | 0.3113 | 1.6414 | 1.7290 |
| 2019-20 | Carleton Univ. | USports-M | 23 | 7 | 6 | 13 | 0.565 | 0.2982 | 0.2982 | 1.6566 | 1.6566 |
| 2020-21 | Carleton Univ. | USports-M | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Quinnipiac | D1 | ECAC | FR | 31 | 2 | 7 | 9 | 0.290 |
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.