| 08-08-2012, 07:50 | #16 |
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We hope not. We have data on all teams in all the aforementioned competitions. We want to use this data to say general things about Rugby Union.
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| 08-08-2012, 08:12 | #17 | |
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| 08-08-2012, 08:20 | #18 | |
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I'm sure we can share our conclusions with the boards at the end of August. |
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| 08-08-2012, 08:49 | #19 |
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If the data is comprehensive, it is worth thousands of euros. There's no hope of getting it free unless it's for academia I'd imagine.
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| 08-08-2012, 09:16 | #20 |
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I would attempt to categorise player types, based on common stats, for example, number of passes, short or long passes, box kicks, runs, tackles, types of tackle, ball carrying, grubber kicks (sp?).
You could have a comprehensive list of categories that the system places each type of your players in (on a given day) and compare them to their opposite number. This way, when you look at the types of players on the opposition you can see what type of play has the most success in beating them man to man. |
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| 09-08-2012, 10:15 | #21 |
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From a player/coach perspective,
The best use I can see for this is a team-by-team breakdown of patterns in play. For gameplanning purposes. So for example, it would be absolutely fantastic if I could use a system like this to analyse precisely what a team is likely to do in a certain situation. So my input could be: Edinburgh Lineout, 30 meters out, 3rd quarter of the game, 5 point lead. And the output would be what they are likely to do with the lineout itself and also what they are likely to do in the next few phases if they are succesful with the lineout. Similarly a breakdown of player habits and patterns would be very very useful for a player. So a guy playing 13 for the Scarlets against Connacht could say "What is Eoin Griffin likely to do when he receives the ball on first phase from a set piece in the opposition half?" Or how is the opposition out half likely to use possession in his half when the team is down by 10 points or more in the second half, kick it away or keep possession? I'm not sure how possible any of this is for you, but that would be fantastic to see. |
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| 09-08-2012, 10:40 | #22 | |
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+1, but it should look like this and have a distinct British accent when answering your queries....
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| 09-08-2012, 12:09 | #23 | |
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| 09-08-2012, 13:02 | #24 |
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Something that's often not caught is the quality of a pass and it's outcomes.
So (taking Leinster as an example) it's easy to see that Madigan makes more running yards than Sexton when he gets the ball. It's easy to see that Sexton make more passes than Madigan when he gets the ball. What I would love to know is "Where is the ball likely to be 10 seconds after Madigan gets it in position x rather than Sexton". e.g. it could be 60% likely to be in Leinster possession and an average of 10 yards further up the pitch with Sexton and 55% likely to be in Leinster possession and an average of 12 yards up the pitch with Madigan (telling me that Madigan is higher risk, higher reward and a great option to bring on for the last 10 minutes when we are 8 points down). A very crude way to start getting to this would be to look at measure the yards gained by Player B when Player A makes a pass to him and attribute those yards back to Player A's pass. |
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| 25-09-2012, 20:48 | #26 |
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