This article by Rotowire/Yahoo! writer Janet Eagleson got Cam and a few others a little worked up this week. The bizarre statement "most NHL trades hurt - not help - your fantasy team" left me scratching my head as well. I was hoping Eagleson would back up her claims but there really was no meat on those bones.
So I figured it was time for SotW to come to the rescue. I'm pretty comfortable in saying that statement is flat out wrong. But I really don't have a good understanding of how wrong it is. That's my goal today.
I don't want to pick on Eagleson, I think she's a pretty sharp fantasy writer,she makes the odd comment now and again but overall she knows her stuff.
I used Wikipedia's listings of NHL transactions (here's 2009-10 if you were curious) and since I had to compile the data by hand there could be a few mistakes here and there. Check the bottom of the post for my process and the data I used.
There were 95 skaters who fit my criteria over the last five years. I looked at the ppg's they put up on their old and new team in the season they were traded. The average percentage increase was 44%. That's huge.
Here's the breakdown:
| Increase | Freq |
| <-50% | 3 |
| -50-0% | 27 |
| 0-50% | 36 |
| 50-100% | 12 |
| 100-150% | 10 |
| >150% | 7 |
So only 30 out of 95 players played at a worse pace after their respective trades and very few of them experienced a major drop off. In histogram form:
It's pretty obvious that what most thought would be correct... is correct. So I'm not sure where Eagleson was coming with her statements. 1 out of every 4 player traded has a significant drop off but it's definitely not the norm.
We probably don't need much more analysis but I it took me forever to get all that data together and I like graphs... so here's another one. Here we see our 95 pieces of data and a comparison between the ppg's on the OLD and NEW team. The correlation is not as high as I thought it would be (r2 = 24.4%). All values above the blue line are players who slowed their pace... below the line are players that turned it around.
If you're like me you might be a bit curious who has been the best and worst after they were traded. Here you go.
The Best
Guillaume Latendresse : MON to MIN (09-10) increased by 415%
Dennis Seidenberg : PHX to CAR (06-07) increased by 400%
Peter Mueller : PHX to COL (09-10) increased by 329%
Scottie Upshall : NAS to PHI (06-07) increased by 243%
Johnny Oduya : NJD to ATL (09-10) increased by 230%
Teddy Purcell : TB to LAK (09-10) increased by 213%
Pascal Dupuis : ATL to PIT (07-08) increased by 213%
The Worst
Dominic Moore : TOR to BUF (08-09) dropped by 66%
Dennis Wideman : STL to BOS (06-07) dropped by 63%
Mark Recchi : PIT to CAR (05-06) dropped by 61%
Derek Morris : BOS to PHX (09-10) dropped by 49%
Patrick O`Sullivan : LAK to EDM (08-09) dropped by 47%
I didn't forget about the tenders...
| Year | Name | NEW team | OLD team | sv% NEW | sv% OLD | % Diff. |
| 2009-10 | Jean-Sebastien Giguere | TOR | ANA | 0.916 | 0.900 | 0.016 |
| 2009-10 | Kari Lehtonen | DAL | ATL | 0.911 | 0.899 | 0.012 |
| 2008-09 | Jason LaBarbera | VAN | LA | 0.915 | 0.893 | 0.022 |
| 2007-08 | Mike Smith | TB | DAL | 0.906 | 0.901 | 0.005 |
| 2007-08 | Cristobal Huet | WAS | MON | 0.936 | 0.916 | 0.020 |
| 2005-06 | Dwayne Roloson | EDM | MIN | 0.905 | 0.910 | -0.005 |
Only six 'important' goalies changed teams as far as I can tell (which surprised me), only one of those six experienced a drop in their sv% and it was a pretty small drop at that.
CONCLUSIONS
- Over the last five years... trades help 62% of the time, have no impact 15% of the time and hurt 23% of the time. So if your player gets traded, it's likely a good thing.
- 18% of the time the traded player more than doubled their ppg & only 3% saw their ppg drop by half or more. So if your your player gets traded, it could be a REALLY good thing.
- We saw the same trend with the goalies in a very small sample size.
- We need more trading in the NHL... only 95 significant players traded? Not good enough.
Thoughts? Comments?
____________________________________________________________________________________
Notes on Data Collection
Click for the data I used... let me know of any mistakes: Trade History Data
- I only looked at trades from November till the trade deadline from each year
- I only looked at players with at least 15 games for both their old team and their new team
- I only collected data for fantasy relevant players... that's 101 pieces of data in total


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