icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2008-09 | Albert Lea Thunder | NAHL | 37 | 0 | 5 | 5 | 0.135 | 0.0496 | 0.0517 | 0.1426 | 0.1485 |
| 2009-10 | — | NAHL | 33 | 0 | 2 | 2 | 0.061 | 0.0223 | 0.0223 | 0.0640 | 0.0641 |
| 2010-11 | Chicago Hitmen | NAHL | 13 | 0 | 2 | 2 | 0.154 | 0.0565 | 0.0537 | 0.1623 | 0.1542 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2013-14 | Saint Mary's (MN) | D3 | MIAC | SR | 17 | 0 | 3 | 3 | 0.176 |
| 2012-13 | Saint Mary's (MN) | D3 | MIAC | JR | 24 | 1 | 0 | 1 | 0.042 |
| 2011-12 | Saint Mary's (MN) | D3 | MIAC | SO | 7 | 1 | 0 | 1 | 0.143 |
| 2010-11 | Saint Mary's (MN) | D3 | MIAC | FR | 3 | 0 | 0 | 0 | 0.000 |
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.