Chicago Blackhawks Career Trajectories
DJ Barry
2026-08-30
Chicago Blackhawks dynasty era: 2009-10 through 2015-16, covering the 2010, 2013, and 2015 Stanley Cup teams.
Chicago Blackhawks during the three-Cup era
Question 1
This uses players who appeared for the Blackhawks from 2009-10 through 2015-16, covering the full three-Cup stretch, and follows those players across their full NHL regular-season careers. Points per 60 minutes (P/60) is used instead of points per game because it adjusts production for how much a player was actually on the ice. Age is calculated from each player’s date of birth using January 31 of that season.
| Dynasty Roster Career Sample by Season | |||||
| Full NHL regular-season careers of players from the 2009-10 through 2015-16 Blackhawks rosters | |||||
| Season | Skaters | Avg. Age | Avg. P/60 | Top P/60 Player | Top P/60 |
|---|---|---|---|---|---|
| 1997-98 | 6 | 22.83 | 1.56 | Brendan Morrison | 3.47 |
| 1998-99 | 11 | 23.45 | 1.64 | Ryan Johnson | 3.89 |
| 1999-00 | 15 | 23.60 | 1.44 | Marian Hossa | 2.51 |
| 2000-01 | 16 | 24.31 | 1.35 | Marian Hossa | 3.08 |
| 2001-02 | 17 | 25.12 | 1.45 | Andrew Brunette | 3.19 |
| 2002-03 | 20 | 25.60 | 1.37 | Marian Hossa | 3.24 |
| 2003-04 | 23 | 25.83 | 1.37 | Marian Hossa | 3.26 |
| 2005-06 | 35 | 25.60 | 1.43 | Ryan Potulny | 4.88 |
| 2006-07 | 44 | 25.70 | 1.29 | Andrew Brunette | 3.47 |
| 2007-08 | 53 | 25.79 | 1.30 | Patrick Kane | 2.87 |
| 2008-09 | 58 | 26.34 | 1.36 | Marian Hossa | 3.23 |
| 2009-10 | 58 | 27.16 | 1.53 | Jake Dowell | 5.76 |
| 2010-11 | 68 | 27.28 | 1.22 | Patrick Kane | 3.11 |
| 2011-12 | 67 | 27.13 | 1.25 | Marian Hossa | 2.86 |
| 2012-13 | 62 | 26.98 | 1.29 | Patrick Kane | 3.50 |
| 2013-14 | 63 | 27.54 | 1.34 | Matt Carey | 3.11 |
| 2014-15 | 65 | 27.40 | 1.27 | Michael Paliotta | 4.71 |
| 2015-16 | 64 | 27.42 | 1.21 | Patrick Kane | 3.80 |
| 2016-17 | 45 | 28.20 | 1.35 | Patrick Kane | 3.04 |
| 2017-18 | 36 | 28.17 | 1.51 | Brandon Pirri | 5.11 |
| 2018-19 | 28 | 28.50 | 1.65 | Patrick Kane | 3.62 |
| 2019-20 | 25 | 29.44 | 1.46 | Artemi Panarin | 4.01 |
| 2020-21 | 19 | 29.32 | 1.56 | Artemi Panarin | 4.22 |
| 2021-22 | 15 | 30.40 | 1.82 | Artemi Panarin | 4.00 |
| 2022-23 | 11 | 30.36 | 1.98 | Artemi Panarin | 3.43 |
| 2023-24 | 10 | 31.00 | 2.05 | Artemi Panarin | 4.36 |
| 2024-25 | 10 | 32.00 | 1.73 | Artemi Panarin | 3.39 |
| 2025-26 | 11 | 33.36 | 1.43 | Artemi Panarin | 3.10 |
| Source: NHL Stats API | |||||
Question 2
The model uses age, age squared, and a player fixed effect. The fixed effect matters because players have very different baseline talent levels. A Patrick Kane season and a depth-player season should not be treated as the same level of player just because they happened at the same age.
The model estimates peak offensive production at about 26.7 years old. Across the player fixed effects, average predicted production at that age is 1.32 points per 60 minutes.
| Career Trajectory Results | |
| Quadratic age curve with player fixed effects | |
| Metric | Result |
|---|---|
| Estimated Peak Age | 26.72 years |
| Average P/60 at Peak | 1.32 P/60 |
| Players | 103 |
| Player-Seasons | 955 |
Question 3
The fitted line uses fake ages across the range of the sample and projects P/60 from the model. Raw player points are left off because the fixed effects give each player a different baseline. The shape of the curve and the peak age are the important parts of the graph.
The curve shows the average aging pattern for the Blackhawks dynasty-roster players across their full NHL careers after controlling for differences between players. The y-axis is tied to Adam Burish, the first player alphabetically in the fixed-effect ordering, so the shape and peak of the curve are more important than the absolute height of the line.
Additional Analysis: Forwards vs. Defensemen
P/60 may age differently by position, so the same full-career model was also run separately for forwards and defensemen. This makes it possible to compare when each group reaches its estimated offensive peak.
| Peak Production by Position | ||
| Player fixed-effect models | ||
| Position | Peak Age | P/60 at Peak |
|---|---|---|
| Forwards | 26.40 | 1.55 |
| Defensemen | 27.54 | 0.91 |
The position models estimate the forward peak at 26.4 and the defensemen peak at 27.5. The difference is about 1.1 years, with Forwards reaching the earlier estimated peak.
Additional Analysis: Model Sensitivity
The quadratic model is the main model used for the assignment. A cubic version was also fit as a quick check to see whether the estimated peak changes much when the shape of the curve is allowed to be more flexible.
| Model Sensitivity Check | ||
| Does the estimated peak change with a more flexible curve? | ||
| Model | Estimated Peak Age | Adjusted R² |
|---|---|---|
| Quadratic | 26.723 | 0.547 |
| Cubic | 25.590 | 0.553 |
The cubic model puts the peak at 25.6, which is 1.1 years from the quadratic estimate. The two estimates are reasonably close, which gives a quick check on how dependent the result is on the exact shape of the model.
Summary
The Blackhawks’ three-Cup roster cohort shows a clear offensive aging pattern across the players’ full NHL careers. After controlling for differences between individual players, the main model estimates peak production at about 26.7 years old, with average production of about 1.32 points per 60 minutes at the peak.
The position split adds another layer to the result. Forwards peak at about 26.4, while defensemen peak at about 27.5. The cubic sensitivity check estimates a peak of 25.6, compared with 26.7 in the main quadratic model.
Overall, the fixed-effect model separates the aging curve from the fact that the roster included players with very different skill levels. That makes the estimated peak more useful than simply comparing raw scoring totals across players and seasons.