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 | Sioux Falls Stampede | USHL | 5 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2013-14 | Coulee Region Chill | NAHL | 23 | 3 | 5 | 8 | 0.348 | 0.1278 | 0.1286 | 0.3671 | 0.3693 |
| 2014-15 | Langley Rivermen | BCHL | 9 | 2 | 5 | 7 | 0.778 | 0.2997 | 0.2844 | 1.1319 | 1.0740 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2018-19 | St. Thomas | D3 | CCHA | SR | 2 | 0 | 1 | 1 | 0.500 |
| 2017-18 | St. Thomas | D3 | CCHA | JR | 9 | 0 | 3 | 3 | 0.333 |
| 2016-17 | St. Thomas | D3 | CCHA | SO | 23 | 2 | 6 | 8 | 0.348 |
| 2015-16 | Concordia | D3 | MIAC | — | 26 | 7 | 9 | 16 | 0.615 |
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.