Week 2 Score Breakdown: Maximum effort, minimum gain

With Week 2 over with, it’s time for another score breakdown!
Keep in mind this is from Week 1 + Week 2 cumulative. It does NOT include events starting after Mar 13 AWST (e.g. the Southern Cross regional and ISR District Event #3, these will be included in Week 3).

The Numbers
Match Points are made of 18.7% Auto and 76.9% Teleop. 4.4% is dedicated to foul points and 0.2% is dedicated to bonuses from pressure and a full set of rotors. These numbers are about the same as that of Week 1.

Of the Auto Points, Mobility attributes 35.5% (down 2% from Week 1). Rotor scores account for 62% (up 2%). High Fuel accounts for 2.4% (up 0.4%), and Low Fuel for 0.1% (about the same).

Of the Teleop Points, Rotors account for 53% (down 1%), Takeoff (climbing) for 45.9% (up 0.9%), High Fuel for 0.7% and Low Fuel for 0.1% (both fairly consistent).

There have been 117 cases (2.8% of matches) where fuel has decided the outcome, either by swinging the win, or forcing a tie. Likewise, there have been 323 (7.6%) where fouls have decided the outcome.

There have been 233 cases (5.5%) where the Losing Alliance has had more successful climbs than the Winning Alliance.

The Opinions
The season so far seems like a direct reflection of Week 1. Little has changed in the culture of how points are being scored.

Week 1 has set the stage of what we should expect from Steamworks in almost all levels of play, bar the most gruelling of Championship Matches. I don’t expect, except in isolated cases, these breakdowns to change too drastically in the season leading up to the championships. Now’s your opportunity to go out into the competition and prove me wrong.

**Code: ** https://github.com/JacisNonsense/frc_2017_statistics
Raw Data
Format: <total> (<avg>)


=======================
      ALL MATCHES      
=======================
        Match Points:
                     total: 1570077 (185.33)
                      auto: 294024 ( 34.71)
                    teleop: 1207973 (142.58)
                      foul:  68750 (  8.11)
                    adjust:   -670 ( -0.08)

     Mobility Points:
                      auto: 104485 ( 12.33)

        Rotor Points:
                      auto: 182280 ( 21.52)
                    teleop: 641360 ( 75.70)

      Takeoff Points:
                    teleop: 554750 ( 65.48)

    Fuel High Points:
                      auto:   7089 (  0.84)
                    teleop:   7881 (  0.93)

     Fuel Low Points:
                      auto:    170 (  0.02)
                    teleop:    774 (  0.09)

          Foul Count:
                      foul:   1970 (  0.23)
                 tech_foul:   2356 (  0.28)

=======================
 QUALIFICATION MATCHES 
=======================
   Bonus Rank Points:
                     rotor:     23 (  0.00)
                  pressure:     17 (  0.00)

=======================
    PLAYOFF MATCHES    
=======================
        Bonus Points:
                     rotor:   2700 (  1.71)
                  pressure:    460 (  0.30)

=======================
    SCORE BREAKDOWN    
=======================
        Total Points:
               Match (auto)    :     18.7%
               Match (teleop)  :     76.9%
               Match (foul)    :      4.4%
               Bonus (rotor)   :      0.2%
               Bonus (pressure):      0.0%

         Auto Points:
                       Mobility:     35.5%
                          Rotor:     62.0%
                      Fuel High:      2.4%
                       Fuel Low:      0.1%

       Teleop Points:
                          Rotor:     53.1%
                        Takeoff:     45.9%
                      Fuel High:      0.7%
                       Fuel Low:      0.1%

=======================
   MISCELLANEOUS DATA  
=======================
    Wins due to Fuel:      117 (2.8%)
   Wins due to Fouls:      323 (7.6%)

 L Climbs > W Climbs:      233 (5.5%)

Would it be possible to calculate the scoring breakdown for only playoff matches? How about only finals matches?

See https://gist.github.com/JacisNonsense/5acb771962679a187376f108861c8ff9

Command:
ruby analyse.rb WHERE match_levels.key!="qm"
ruby analyse.rb WHERE match_levels.key="f"

When you give the “(down N% from Week 1)” numbers, does that mean Week 2 is essentially down 2N% vs just Week 1? Since the new data you’re presenting is Weeks 1+2? The interpretation there is a bit confusing.

Not quite 2N of course since I doubt Week 1 and Week 2 had exactly the same number of matches.

Thanks!!! I was expecting Fuel to make up a higher percentage in the Playoffs, and even more in the Finals, but still interesting results.

When I say (down N%) or (up N%), I am talking about the numbers represented over the whole season minus the numbers from the last breakdown. E.g, down N% in this update means (week1+week2)-(week1), whereas in the next update it will be (week1+week2+week3)-(week1+week2).

Furthermore, in (up/down N%), the N% is the absolute difference. If Week 1 had a value of 5%, and Week 2 had a value of 6%, it would read up 1%.

All,

Here is the breakdown for Week 2 ONLY. Keep in mind that Miscellaneous Data does not respect this constraint.

Command:

ruby analyse.rb "SQL[INNER JOIN events ON matches.event == events.id] WHERE julianday(events.start_date) > julianday(\"2017-03-06\")"

What I notice this season in person (week 2) plus looking at other events or reading posts… Being a top ranking bot past #10 is not a guaranteed elimination selection and being in (12-19) is not a great indicator either , the reality is selected teams making up elimination alliances run almost to the very end of the list in terms of RP averages as captains look beyond that single metric. Also #1 alliances can be knocked off fairly easy this year due to the way game is designed. Number 8 alliance has a legitimate shot in 2017.

Examples:

  1. 3793 4456 1915 QF <-----
  2. 4242 1885 102 W
  3. 2537 1111 1719 SF
  4. 4514 5115 422 SF
  5. 4464 449 1727 QF
  6. 4638 614 2914 QF
  7. 3941 2912 3455 QF
  8. 5338 2849 1389 (3650)* F <------

1.) 2761 - 0751 - 3303 QF <----
2.) 1678 - 1323 - 2135 W
3.) 0973 - 1072 - 1662 SF
4.) 5852 - 3256 - 4543 SF
5.) 6699 - 4415 - 1868 QF
6.) 6305 - 2085 - 1671 QF
7.) 5134 - 5817 - 0294 QF
8.) 5104 - 4276 - 4255 F <------