Friday, May 3, 2013

Introduction to Combat Grading System


Intro to Combat Grades
                The concept for these grades was introduced to me by my roommate Jim who is also one of my best fans and is constantly watching me livestream (www.twitch.tv/GelatiLOL) so he gets to see a lot of my gameplay. He pointed out in a conversation one day that KDA and W/L and average creep score can only reveal so much about the game. There are many other factors in a game of League of Legends such as how I did in lane, whether the enemy jungler/other lanes ganked my lane, whether my jungler/other lanes ganked my lane, whether I roamed, etc. From this idea I decided to develop a very simple system to grade three new categories that you will be seeing on my infamous spreadsheet. I believe that future use of these categories will lead to a more focused plan of improvement. Now onto the actual system!

The Rubric:
I will break this down for the "Win Lane?" column and "Outside Lane Influence For/Against" columns.

Firstly we have the "Win Lane?"
                To win a lane I try to consider only the 1 vs 1 aspect of the lane. Factors such as creep score, level advantage, kills/forced recalls, and situationally taking/losing of tower. I assign a grade for the lane phase using the following representative values:

                2 =  I score a massive farm lead (usually 30+ creeps), level lead, or multiple kills
                1 = I score a small farm lead, level lead, maybe a kill/forced recall, slight advantage
                0 = Even lane where all of the factors (cs, levels, kills) equate to an even score for both laners
              -1 = The opponent scores a small farm lead, level lead, kill/forced recall, slight advantage
              -2 = The opponent scores a massive farm lead, level lead, or multiple kills
               
               This system was partially to put down the ever so common "I always win lane" or "Win lane/Lose Game" claims but it was also a way for me to calculate, over the course of many games, whether or not I was being an effective laner. Taking the average "Lane Grade" from all of the games I've played in a given amount of time, I'm able to deduce that I've either been a positive or negative laner overall.

Secondly we have the "Outside Lane Influence For/Against" columns.
                I utilize a similar grading system using the same numerical values but for different factors. I assign a grade for outside lane influence for/against using the following representative values:

                2 = Significant influence on the laning through kills/recalls, forced summoners, loss of farm
                1 = Slight influence on laning through kills/recalls, forced summoners, loss of farm
                0 = No real influence on laning.
              -1 = Gives slight advantage to enemy laner in some way, usually through a kill
              -2 = Gives significant advantage to enemy laner in some way, usually through multiple kills

***Keep in mind that these values are for representative of the enemy and myself. So in a game where I score "Outside Lane Influence For" a "2" it represents that my jungler/other lanes came and ganked my lane to give me a huge advantage through multiple kills/forced recalls. If I score "Outside Lane Influence Against" a "2" it represents the enemy jungler/other lanes ganking my lane and giving their enemy laner a huge advantage.***

                Similarly to the "Win Lane" column, I wanted to assign some sort of representative value to the other influences on my play in each game so that I could compile them over the course of many numbers of games to determine whether my success/failures were from outside sources or myself.

Lastly I assigned a numeric value to my personal influence around the map (roaming).
                While the scale is similar the values mean slightly different things and it's closer to a "my roam vs their roam" grade.

                2 = I positively affect the other lanes multiple times more than the enemy laner.
                1 = I positively affect the other lanes slightly more than the enemy laner.
                0 = The enemy laner and I either equally influence other lanes or don't at all.
              -1 = The enemy laner positively affects other lanes slightly more than I do.
              -2 = The enemy laner positively affects the other lanes multiple times more than I do.

                This number is more like a scale. While I calculated for all lanes starting at a certain date, I plan to only use this number for mid lane (and possibly top) as it is a key part of the mid players role in the game to roam and assist the other lanes. I can break down by champion whether or not I'm doing a good job roaming on champions that should, or shouldn't be roaming a lot.

Hopefully this clears some things up and if you have any questions feel free to ask me live on stream!
-Gelati

Statistics for April 2013

**Bolded stats are ones that I found particularly interesting for one reason or another**

April 2013
Highest Placement: Gold I (48 lp)     Lowest Placement : Gold II (0 lp)
Win - Loss: 52 - 54
Kills/Deaths/Assists (avg): 515 / 498 / 898 (4.85 / 4.7 / 8.5) makes a 2.84:1 Ratio
Team K/D/A (avg):  2297 / 2313 / 4238  (23.4 / 23.6 / 43.2) *8 games unaccounted for*
Longest Winning Streak:  6      Longest Losing Streak: 7
Largest LP Gain/Lost (single game): +22 / -32
Highest Kills/Deaths/Assists (high in each taken from all games): 16 / 17 (next closest 11) / 23
Highest Single Game CS: 325
Combat Grades:
            Lane Effectiveness Avg (scale of -2 to +2): +.104
            Outside Lane Influence For Avg (scale of -2 to +2) (77 games): +.56
            Outside Lane Influence Against Avg (scale of -2 to +2) (77 games): +.33
            Roaming Effectiveness Avg (scale of -2 to +2) (37 games): +.02

Most Played Champion(s):
            Lux (mid) (21 games) (7W - 14L)
                        - Avg CS: 191, Avg K / D / A: 4.66 / 4.2 / 7.4, which makes a 2.87:1 ratio
                        - Enemy Avg CS: 202
                        - Lane Effectiveness Avg: +.04
                        - Outside Lane Influences Avg (against/for)(only 10 games): +.4 / +.7
                        - Roaming Grade (only 4 games): -.25
            Ryze (mid) (19 games) (13W - 6L)
                        - Avg CS: 185, Avg K / D / A: 6 / 4.2 / 8.5, which makes a 3.45:1 ratio
                        - Enemy Avg CS: 174
                        - Lane Effectiveness Avg: +.2
                        - Outside Lane Influences Avg (against/for)(only 16 games): +.31 / +.375
                        - Roaming Grade (only 9 games): -.11

Champions Played: 21 (lux support and lux mid differentiated, etc.)

Duo queue Statistics
            - Record: 2 - 3
            - # of duo partners: 4
            - egosu: 1 game (0-1)
            - jpmfxkrafty:  2 games (2-0)
            - bossmandue: 1 game (0-1)
            - Song: 1 game (0-1)

Average Match Time:  34:07  Shortest Match Time: 20:25 Longest Match Time: 50:26
Match Time Distribution: (only 98 games accounted for)
            -  <20:00:  0 games
            -  20:00 to 25:00: 8  games (8-0)
            - 25:00 to 30:00: 22 games (10-12)
            - 30:00 to 35:00: 24 games (12-12)
            - 35:00 to 40:00: 21 games (10-11)
            - 40:00 to 50:00: 22 games (10-12)
            - >50:00: 1 game (0-1)
Pick Order Statistics:
Avg position: 2.73  Avg position of Duo partner: 4.4
            - 1st pick: 15 games (7-8)
            - 2nd pick: 32 games (16-16)
            - 3rd pick: 31 games (19-12)
            - 4th pick: 22 games (6-16)
            - 5th pick: 6 games (4-2)
Most Frequent Opponent: Lux (10 games) (4w-6L)
Strongest Matchup (more than 3 games):
            - vs Ryze 4 - 1,  Avg K/D/A:  (10.4 / 5.2 / 9.4), Avg CS For/Against:  199.6 / 195
Weakest Matchup (more than 3 games): 
            - vs Nidalee 2 - 3, Avg K/D/A: (4.8 / 3.6 / 8.2), Avg CS For/Against: 185 / 164
Multi Game Summoners: none
First Bloods For/Against:  11/3
Record when getting first blood: 8 - 3    Record when giving up first blood: 1 - 2
Record in First Game of Session: 16 - 11     Record in Last Game of Session:  8 - 19
Record in Single Game sessions (counted as both first and last games): 0 - 2
Positional Records/Statistics:
  - Mid (62.2%): W/L: 31 - 35,  Avg CS: 196.5, Avg K/D/A:  6.0 / 4.48 / 7.57 (3.02:1)
            - Lane Effectiveness Avg: +.2
            - Outside Lane Influence Against / For: +.15 / +.58
            - Roaming: +.05
  - AD Carry (10.3%): W/L: 5 - 6, Avg CS: 205.5, Avg K/D/A:  5.9 / 4.7 / 6.7 (2.68:1)
  - Support (26.4%): W/L: 16 - 12, Avg CS enemy AD: 196.7, Avg  K/D/A: 1.9 / 5.1 / 11.5 (2.6:1)
  - Top: Record: 0 - 1, Avg CS: 171, Avg KDA: 0 / 7 / 1 (0.14:1)
  - Jungle: none

Environmental Statistics:
Longest Single Session: 11 games (9-2 record) (short breaks)
Time of Day (based on common playing blocks):
            - Night block (8:01pm to 4am):  74 games (32-42)
            - Morning block (4:01am to 12pm): 0 games (0-0)
            - Afternoon/Evening block (12:01pm to 8pm): 32 games (18-14)
Day of Week:
            - Monday: 12 games (5-7)
            - Tuesday: 17 games (11-6)
            - Wednesday: 12 games (5-7)
            - Thursday: 16 games (7-9)
            - Friday:  18 games (9-9)
            -Saturday: 16 games (11-5)
            - Sunday: 26 games (15-11)


Music: 
            - 90s: 2 games (2-0)
            - Amorphis: 2 games (2-0)     
            - Armin van Buuren: 4 games (2-2)
            - Blackmill: 1 game (1-0)
            - Dubstep: 10 games (5-5)
            - Instrumental: 3 games (0-3)
            - Melodic Death Mix: 10 games (6-4)
            - General Metal Mix: 44 games (22-22)
            - Mice Parade: 2 games (1-1)
            - Opeth: 2 games (1-1)
            - Periphery: 3 games (2-1)
            - Post Rock Mix: 2 games (2-0)
            - Rachmaninov: 2 games (0-2)
            - Ska: 1 game (0-1)
            - Soundtrack: 9 games (2-7)
            - Spock's Beard: 3 games (2-1)
            - Sub Focus: 1 game (1-0)
            - Tech/Metal: 4 games (1-3)
            - Trance: 1 game (0-1)

Statistics for March 2013


March  2013
Highest Placement: Gold II (placement)     Lowest Placement : Gold IV (19 lp)
Win - Loss: 63 - 54
Kills/Deaths/Assists (avg): 544 / 531 / 1015 (4.7 / 4.6 / 8.8) makes a 2.93:1 Ratio
Team K/D/A (avg):  2673 / 2633 / 4745  (24/23.7/42.7)
Longest Winning Streak:  5      Longest Losing Streak: 4
Most Played Champion: Lux (mid) (32 games) (21W - 11L)
            - Avg CS: 195, Avg K / D / A: 6.6 / 2.8 / 9.2, which makes a 5.64:1 ratio
Champions Played: 23 (lux support and lux mid differentiated, etc.)
Duo queue Statistics
            - Record: 8 - 13
            - # of duo partners: 8
            - zuzik: 1 game (0-1)
            - Manglesaur:  1 game (0-1)
            - Dulph: 3 games (2-1)
            - n3ac3y: 3 games (0-3)
            - p4ndemic: 6 games (2-4)
            - Tokus: 1 game (1-0)
            - TubaPicnic: 6 games (2-4)

Average Match Time:  32:45:53  Shortest Match Time: 19:41 Longest Match Time: 53:38
Match Time Distribution:
            -  <20:00:  1 game (0-1)
            -  20:00 to 25:00: 18  games (8-10)
            - 25:00 to 30:00: 26 games (14-12)
            - 30:00 to 35:00: 28 games (19-9)
            - 35:00 to 40:00: 24 games (11-13)
            - 40:00 to 50:00: 18 games (8-10)
            - >50:00: 3 games (2-1)
Pick Order Statistics:
Avg position: 2.67  Avg position of Duo partner: 3.71
            - 1st pick: 34 games (16-18)
            - 2nd pick: 25 games (13-12)
            - 3rd pick: 27 games (17-10)
            - 4th pick: 16 games (10-6)
            - 5th pick: 19 (7-12)
Most Frequent Opponent: Diana (8 games) (5w-3L)
Strongest Matchup (more than 3 games):
            - vs Ahri 2 - 1,  Avg K/D/A:  (7.3/3.6/6.3), Avg CS For/Against:
            - vs Master Yi 3 - 0, Avg K/D/A: (),
            - vs Katarina 3 - 1,
            - vs Kassadin 4 - 2,
Weakest Matchup (more than 3 games): 
            - vs Akali 1 - 4, Avg K/D/A: (4 / 5.6 / 4), Avg CS For/Against: 131 / 146.6
Multi Game Summoners: show sparkty 1 - 1
First Bloods For/Against:  6/4
Record when getting first blood: 4 - 2    Record when giving up first blood: 2 - 2
Record in First Game of Session: 13 - 17     Record in Last Game of Session:  16 - 14
Record in Single Game sessions (counted as both first and last games): 1 - 1
Positional Records/Statistics:
  - Mid (54.3%): Record: 38 - 32,  Avg CS: 183.6, Avg K/D/A:  5.93 / 3.96 / 7.74 (3.45:1 KDA)
  - AD Carry (50%): Record: 8 - 8, Avg CS: 183.3, Avg K/D/A:  5 / 4.8 / 7.3
  - Support (58.6%): Record: 17 - 12, Avg CS of enemy AD: 197, Avg  K/D/A: 1.7 / 5.6 / 12.1
  - Top: Record: 0 - 1, Avg CS: 309, Avg KDA: 6 / 7 / 3
  - Jungle: Record: 0 - 1, Avg CS: 127, Avg KDA: 2 / 5 / 4

Environmental Statistics:
Longest Single Session: 7 games (4-3 record)
Time of Day (based on common playing blocks):
            - Night block (8:01pm to 4am):  57 games (31-26)
            - Morning block (4:01am to 12pm): 1 game (0-1)
            - Afternoon/Evening block (12:01pm to 8pm): 59 games (32-27)
Day of Week:
            - Monday: 12 games (5-7)
            - Tuesday: 17 games (11-6)
            - Wednesday: 12 games (5-7)
            - Thursday: 16 games (7-9)
            - Friday:  18 games (9-9)
            -Saturday: 16 games (11-5)
            - Sunday: 26 games (15-11)


Music: 
            - 90s: 3 games (2-1)  
            - Armin van Buuren: 14 games (9-5)
            - Blackmill: 4 games (2-2)
            - Blue Sky Black Death: 4 games (1-3)
            - Dubstep: 2 games (1-1)
            - Fair to Midland: 6 games (4-2)
            - Macklemore: 1 game (1-0)
            - Megadeth: 1 game (0-1)
            - Melodic Death Mix: 16 games (10-6)
            - General Metal Mix: 16 games (8-8)
            - Nightrage: 1 game (1-0)
            - Pendulum: 3 games (2-1)
            - Periphery: 4 games (2-2)
            - Power Metal Mix: 3 games (2-1)
            - Skyharbor: 2 games (1-1)
            - Soilwork: 25 games (12-13)
            - Tetrafusion: 4 games (3-1)
            - The Contortionist: 1 game (0-1)
            - The Faceless: 1 game (0-1)
            - Weezer: 3 games (1-2)
            - Xanthrochroid: 1 game (1-0)