icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2011-12 | Metro Jets | NA3HL | 0 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2012-13 | — | MJHL | 25 | 3 | 5 | 8 | 0.320 | 0.0905 | 0.0891 | 0.2016 | 0.1986 |
| 2013-14 | Blind River Beavers | NOJHL | 18 | 8 | 6 | 14 | 0.778 | 0.1311 | 0.1219 | 0.3232 | 0.3005 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Northland | D3 | — | SR | 4 | 1 | 1 | 2 | 0.500 |
| 2016-17 | Northland | D3 | — | JR | 8 | 1 | 4 | 5 | 0.625 |
| 2015-16 | Northland | D3 | — | SO | 18 | 1 | 6 | 7 | 0.389 |
| 2014-15 | Northland | D3 | — | FR | 25 | 5 | 5 | 10 | 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.