icepath.io · Hockey Analytics
icepath.io · Hockey Analytics
| Season | Team | League | GP | G | A | Pts | PPG | NCAAe-PPG | Age-Adj | D3e-PPG | Age-Adj |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2007-08 | Brooks Bandits | AJHL | 1 | 0 | 0 | 0 | 0.000 | — | — | — | — |
| 2008-09 | Lethbridge Hurricanes | WHL | 32 | 1 | 6 | 7 | 0.219 | 0.1064 | 0.1049 | 0.5340 | 0.5264 |
| 2009-10 | Lethbridge Hurricanes | WHL | 37 | 4 | 5 | 9 | 0.243 | 0.1182 | 0.1105 | 0.5936 | 0.5549 |
| 2010-11 | Lethbridge Hurricanes | WHL | 70 | 15 | 15 | 30 | 0.429 | 0.2084 | 0.1850 | 1.0461 | 0.9288 |
| Season | School | Div | Conference | Year | GP | G | A | Pts | PPG |
|---|---|---|---|---|---|---|---|---|---|
| 2017-18 | Fredonia | D3 | — | JR | 12 | 0 | 2 | 2 | 0.167 |
| 2016-17 | Fredonia | D3 | — | SO | 3 | 0 | 0 | 0 | 0.000 |
| 2015-16 | Fredonia | D3 | — | FR | 11 | 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.