Interesting stats that are probably difficult or impossible to track

Discussion in 'By The Numbers' started by TheOtherOne, Nov 11, 2017.

  1. TheOtherOne

    TheOtherOne Registered User

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    For example, I'd like to look at top goalscorers and compare how many goals are scored against opposing top players versus how many exploit line changes or icings to score against worse players. To see overall the ratio, as well as which players, if any, are more exploitative than others.

    Which difficult-to-track stats would you be interested in seeing? Be creative!
     
  2. Master P

    Master P Registered User

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    I'd like to see what the rate of wins are for teams that win the opening faceoff.
     
  3. KingBilly

    KingBilly Registered User

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    I've always wanted to track team and individual player turnovers between the faceoff dot in their zone and the red line. The game is usually won and lost in how teams transition, and it's lost on a lot of people. If you are not successfully advancing the puck between your team's faceoff dot and the red line you're probably gonna lose.

    I'd like to see some stat which tracks that. As team success or even individual player success. Passes connected within that space. Whether a team successfully advanced the puck beyond the red line, with control, once gaining possession in their own zone. It's probably not realistic, but I'd like better metrics to study that aspect of the game.
     
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  4. Pookie

    Pookie It was a pleasure doing business with you

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    Player health metrics such as when a player is more susceptible to an injury. Or when their skills start to decline.

    Health metrics are the most important to team and personal success. And none of us will or should ever have access to them.
     
  5. Redgren Grumbholdt

    Redgren Grumbholdt Registered User

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    I wanna strap an accelerometer to every player and measure speed/accleration/etc.
     
  6. TheOtherOne

    TheOtherOne Registered User

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    That's a good one, I'd be interested to see who is moving more on average per minute of ice time. For goalies too.

    Another one that'd be impossible, but really illuminating, is the percentage of net that a goalie is covering anytime the puck is in a scoring position. Would really show which goalies are better personally versus reactionary. Also could provide evidence for pad size reduction arguments.
     
  7. alko

    alko Registered User

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    Theer was talt, that they want to implement "glowing puck". Not for TV, but fore some new data about players.
     
  8. AlwaysSunnyInTampa

    AlwaysSunnyInTampa It's over 9000!!!!

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    While not a rare stat, is there any way to track power play goals against for specific players? There's a particular year Sakic played back in the 90's on the Nords where he had 100 points or so but I think he might have actually been a minus player. Meanwhile his teammate Sundin (without looking) was also a 100 point player and I think was something like +20. I know there was a time Sakic was killing penalties for the Nords. I have to imagine he suffered his share of goals against when killing penalties and thus had a poorer plus/minus.

    Is there a site that keeps track of power play goals against certain players? I mean we can look up all day how many PPG's the Nords gave up but I can't for the life of me find out who was on the ice for the PPG's against.

    I recently tried to do this for Filppula and came up empty handed.
     
  9. decma

    decma Registered User

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    Goals against when killing penalties do not count in plus/minus. And goals for when on power play do not count either.

    The breakdown of goals for and against is available on hockey reference.

    For example, in 1992-93, Sakic was on the ice for 150 goals for. 76 of those were PP, so for plus/minus purposes, 74 goals for. That is, Que scored 74 goals when Sakic was on the ice at ES or SH.

    He was on the ice for 104 goals against. 27 of those were while killing penalties, so for plus/minus purposes, 77 goals against. That is, Que allowed 77 goals against when Sakic was on the ice at ES or PP.

    Therefore he was minus 3 (74 - 77)

    Sundin was on the ice for 154 goals for and 70 of those were PP. So for plus/minus purposes, 84 goals for.
    Sundin was on the ice for 89 goals against, and 26 of those were while killing penalties. So for plus/minus, 63 goals against.
    Therefore he was plus 21 (89-26).

    Data are not available (at least I have not seen them) to isolate ES goals only. That is, the GF I have seen only distinguish between PP vs. (ES+SH). That allows you to calculate the + component of +/-, but not to isolate ES goals only.

    Similarly, on the minus side, GA is only disaggregated between (ES and PP) vs. SH. Again, enough to caclulate - component of +/-, but not to isolate ES GA from goals against while on PP.

    Still, the data available show why Sundin had a better +/-.

    They were both on the ice for roughly the same goals for (154 for Sundin vs. 150 for Sakic), but more of Sakic's were on the PP (76 vs. 70).
    Sundin was on the ice for 84 goals when Que was ES or killing penalties, whereas Sakic was on the ice for 74 goals for in such situations. Advantage of 10 for Sundin on the offensive side.

    On the defensive side, Sakic was on the ice for 104 total goals against vs. 89 for Sundin. When goals allowed while killing penalties are removed, it is 77 gainst for Sakic vs. 63 against for Sundin. So a 14-goal for Sundin on the defensive side.

    Not sure if this is what you were looking for, but hope it helps.

    From 1998 on, when ice time data are available, can extend the analysis further by looking at GF and GA per minute.
     
  10. InfinityIggy

    InfinityIggy No Longer Flammable

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    This would be a good one, because from it you could extrapolate things like average speed v. point production, +/- and so on.
     
  11. morehockeystats

    morehockeystats Unusual hockey stats

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    I have some PK tracking on my site:
    MoreHockeyStats.com: Penalty Killers
    Now why does this interface not support middle-button paste?!
     

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