intro dm rank team rank buddy stats best of global rank matrix diff matrix help faq æs site
  Ranking last updated on Tuesday, January 27th 13:27 2004
for the server The UT Crunch!
h e l p
Some tables might be overwhelming at first. Here you can read up on how these tables are to be read. You will find they convey quite a lot of infos.

ranking
...The list of ranked players?
...The ranking table?
...The ranking matrix?
...The rank intensity matrix?
...The difference matrix?
...The diff intensity matrix?

player stats
...Weapon usage
...Frags/deaths/suis
...Alternate weapon usage
...Alternate frags/deaths/duis
...Suicides / damage types
...Frags per hour & map


the list of ranked players
Here is the list of players that have enough incidents and high netto% scores to make it into the top 20 list of ranked players. For your convenience names are alphabetically sorted.

Note that this page uses an intensity color coding. The player N° and color match those in the ranking matrix below. The 'top' players in ranking are colored in red, and the 'weakest' in blue.

Ranked Player List  -  Top 13
Player Player Player
 6   Bee   4   LoCuTuS   9   VANADIS  
 2   BioNauT   13   MUD   5   Xar  
 11   Gameguru   8   MicroBoT   3   [7M] Jcool  
 1   Gonzator   12   Obsidian    
 10   Kenny   7   Sesshoya    


the ranking table
Using the rank matrix as data basis, a player list sorted by rank is calculated. The more frags you score against other players, without getting hit too much, the better your ranking. Also your suicide count should be low.

Note you are ranked against every other player in ranking. And every player counts the same. So if you lose against a few you can improve your ranking by hitting on others that are actually in ranking. So hitting weak players - these get filtered out - won't get you anywhere and only spoils the beginners fun.

player The player links point to a player specific stats page. Note: On that page *all* player related data is shown. The table here only shows the data relevant for ranking (a data subset).
rank Your rank, e.g. how good (efficient) you were playing. Values range from 0 to 100, where 50 is your average player that does not suicide much and gets hit as much as he hands out. So you will want to have values above 50... trust me ;).
contacts The number of players you hit or that hit on you. Maximum value is matrix size - 1 - and you are not counted.
incidents Sum of frags + deaths + suicides. Used to sort the ranking matrix, and also used to determine who will be ranked. Only players with high incident counts will be ranked - to ensure a good statistic.
nettos frags - deaths - suicides and netto% are a simply form of ranking - an efficiency.

Percent values are also indicated. The last line shows averages for each column.
Ranking for the Top 13
 Player    Rank    Contacts   Incidents   Frags    F%    Deaths    D%    Netto    N%  
1   Gonzator   69.08 12  556  370  66  186  33  184  33 
2   BioNauT   61.92 11  530  328  61  202  38  126  23 
3   [7M] Jcool   60.81 10  231  138  59  93  40  45  19 
4   LoCuTuS   60.26 12  417  208  49  209  50  -1  0 
5   Xar   51.80 11  509  244  47  265  52  -21  -4 
6   Bee   49.31 12  421  190  45  231  54  -41  -9 
7   Sesshoya   49.03 11  473  208  43  265  56  -57  -12 
8   MicroBoT   47.47 10  453  207  45  246  54  -39  -8 
9   VANADIS   41.50 12  321  125  38  196  61  -71  -22 
10   Kenny   38.30 11  270  92  34  178  65  -86  -31 
11   Gameguru   34.45 11  317  108  34  209  65  -101  -31 
12   Obsidian   25.00 8  25  75  -4  -50 
13   MUD   12.32 30  10  27  90  -24  -80 
  46.25  10.5  348.9  171.0  49.0  177.9  51.0   


the ranking matrix
Foundation of all ranking is the following ranking matrix, that sums up all the frag, and death (suicide) data. The matrix is sorted by the player incident count, top left players played the most, bottom right played the least.

How to read the matrix
The horizontal lines begin with a player name and a color coded number, each value in the following columns (to the right) are frags this player scored *against* all the other players. Now locate the column (vertical) with the same player number, all values in that column show the same player's deaths. (The values on the diagonal used to be suicides, these where converted into virtual frags and redistributed among the players in ranking).

All the players frags are summed up in the last column (outer right). The last line in the matrix sums up all the deaths. Bottom right N° shows the total number of incidents (frags+deaths).

Note: Only the frags and deaths are shown/counted are relevant to ranking, and thereby have to do with the folks *in* ranking, this is a frag/death subset of the total number of frags/deaths of these players.

Ranking Matrix for the Top 13
Player 1 2 3 4 5 6 7 8 9 10 11 12 13  Frags 
 Gonzator 1   16 58 78 48 48 54 21 20 19 12 8 1 383
 BioNauT 2 14   39 52 33 58 59 30 22 18 14   1 340
 Xar 3 30 32   16 34 33 20 38 17 20 14 1   255
 Sesshoya 4 28 35 11   21 20 17 22 36 20 5 2   217
 MicroBoT 5 24 25 31 24   23 24 13 26 21 5     216
 Bee 6 24 28 32 21 16   3 23 19 19 11 1   197
 LoCuTuS 7 33 19 28 19 34 5   18 17 18 15 5 3 214
 Gameguru 8 7 19 18 18 12 5 4   18 10 1 2   114
 VANADIS 9 6 9 7 16 23 11 11 25   13 7 3 1 132
 Kenny 10 3 9 9 12 12 13 11 9 6   9 5   98
 [7M] Jcool 11 17 10 32 9 13 14 5 8 14 20       142
 MUD 12               2 1         3
 Obsidian 13           1 1             2
Deaths  186 202 265 265 246 231 209 209 196 178 93 27 6 2313


the rank intensity matrix
This matrix shows the same data as the ranking matrix above, only that the frags and deaths share a common intensity color coding. Red shows the maximum values seen in frags, and deaths. Blue the minimum values.


the difference matrix
To make it easier to compare if you are being hit more by certain players, than you are hitting them, check out the following difference matrix. For each player pair i and j the matrix[i][j]-matrix[j][i] values are calculated. In other words, if in your horizontal player line you only see positive values then no one is fragging you more than you are fragging them. Negative values tell you who is ripping you off ;). Also notice the symmetry along the diagonal.
Difference Matrix for the Top 13
Player 1 2 3 4 5 6 7 8 9 10 11 12 13  Frags 
 Gonzator 1   2 28 50 24 24 21 14 14 16 -5 8 1 197
 BioNauT 2 -2   7 17 8 30 40 11 13 9 4   1 138
 Xar 3 -28 -7   5 3 1 -8 20 10 11 -18 1   -10
 Sesshoya 4 -50 -17 -5   -3 -1 -2 4 20 8 -4 2   -48
 MicroBoT 5 -24 -8 -3 3   7 -10 1 3 9 -8     -30
 Bee 6 -24 -30 -1 1 -7   -2 18 8 6 -3 1 -1 -34
 LoCuTuS 7 -21 -40 8 2 10 2   14 6 7 10 5 2 5
 Gameguru 8 -14 -11 -20 -4 -1 -18 -14   -7 1 -7 0   -95
 VANADIS 9 -14 -13 -10 -20 -3 -8 -6 7   7 -7 2 1 -64
 Kenny 10 -16 -9 -11 -8 -9 -6 -7 -1 -7   -11 5   -80
 [7M] Jcool 11 5 -4 18 4 8 3 -10 7 7 11       49
 MUD 12 -8   -1 -2   -1 -5 0 -2 -5       -24
 Obsidian 13 -1 -1       1 -2   -1         -4
Deaths  -197 -138 10 48 30 34 -5 95 64 80 -49 24 4 0


the diff intensity matrix
This matrix shows the same data as the diff matrix above, only that the frags and deaths share a common intensity color coding. Red shows the maximum values seen in frags, and deaths. Blue the minimum values.





the weapon usage & the frage, deaths & suicides
weapon usage
The y-axis is in %. Shown are your frags and deaths (suicides on the right hand side) as percentages of your total number of incidents (f+d+s). The x-axis denotes the weapons involved. The weapons are color coded.

As a good player your F (for frags) bars should be higher than your D (for deaths, these are frags other players scored against you using that same weapon) bars. And you can see right away what weapons you really have a grip on and with which you should practice more. See the next table for absolute values.

Weapon Usage
29.7
14.9
0
F
D
F
D
F
D
F
D
F
D
F
D
F
D
F
D
F
D
F
D
S
% Bl DE G36 He 69 C MP5 PSG SR8 UMP Suis
frags / deaths / suicides
This table is color coded, the way the previous table was coded. It shows the absolute counts in frags, deaths, suicides and the appropriate percentage values. All your frags & deaths are summed up. The suicides are mentioned for completeness, see the suicide table for details.
Frags, Deaths, Suicides
 Frags   F %   Deaths   D %   Weapons
22 3.9% 13 2.3%  Bled 
16 2.8% 2 0.4%  Desert Eagle .50 
168 29.7% 68 12.0%  H&K G36 
9 1.6% 3 0.5%  Hegrenade 
11 1.9% 1 0.2%  H&K 69 
16 2.8% 45 8.0%  Colt M4 
8 1.4% 10 1.8%  H&K MP5K 
102 18.1% 24 4.2%  H&K PSG-1 
13 2.3% 8 1.4%  Remington SR-8 
9 1.6% 11 1.9%  H&K UMP45 
374 66.2% 185 32.7%  
 
   Suis   S %   
  6 1.1%  Damage type summery 


the alternate weapon usage & the frage, deaths & suicides
alternate weapon usage
This table is much the same as the weapon usage table above. This table shows the player's use of the alternate weapon mode Urban Terror for Q3Aprovides.

alternate frags / deaths / suicides
This table is much the same as the frags/deaths/suis table mentioned above. Absolute & percentage values of Alternate frag / death / suicide counts.

Note: Most games/mods do *not* have alternate weapon modes.


the suicides & damage types
On the left side of the table you will find a list of suicides Urban Terror for Q3A provides.

On the right side all the player's in-game damage types are counted (not mattering if they have to do with suicides). The table splits them up and gives absolute and percentage values.

Note: Most games/mods do not provide extra damage type information.

Suicides
% of Total N° 6  Suicides   N°   Form of Death 
83.3%
 5   Hegrenade 
16.7%
 1   World: Trigger_hurt 
   6   


the fph per map
fph per map
The most recently map *you* played are shown. The histogram displays the Frags per Hour (FPH). This is a measure of your fragging frequency. FPH is calculated in the following way:
FPH = (Frags - Deaths - Suicides) / (MapTime/3600)
MapTime is the time the map was up in seconds. So if you only make 2 or 3 frags then disconnect, your FPH will be bad for that map. Try to play the map to the next level change. High FPH values are possible by fragging all you can see, and doing it as quickly as possible without getting hit. This is *not* really criterium how good you are, it's more like a frag-frenzy indicator 8-).

Note: Some games/mods do not provide time/date or map name information.

  FPH per Map  
  ( Last 34 of 37 maps played, average FPH: 18 )  
67.0
17.5
-32.0
5
2
 
2
 
2
2
 
1
2
 
3
1
 
 
-
1
3
1
1
 
4
5
 
2
 
4
3
 
5
2
 
2
 
4
4
 
2
 
6
7
 
0
 
1
7
 
2
5
 
3
5
 
2
6
 
2
 
9
 
1
 
2
5
 
2
9
 
0
 
1
6
 
6
 
2
1
 
1
2
 
2
8
 
4
1
 
0
 
 
-
3
2
1 2 3 4 5 6 7 8 9 1
0
1
1
1
3
1
4
1
5
1
6
1
7
1
8
1
9
2
0
2
1
2
2
2
3
2
5
2
6
2
7
2
8
2
9
3
0
3
1
3
2
3
3
3
4
3
5
3
6
fph & times
In this table many details on the last maps you have been playing are shown. You can check on the map names, when and for how long each map was played, the FPH and the netto values, used to calc the FPH.
Frags per Hour & Times
 N°   Map Name   Begin   Up Time   FPF   Netto   Frags   Deaths   Suis   Placed   F-Row   D-Row 
 Ut_rommel   January 2004
27th 17:50:26  
 4'32 Min   52  4 4 0 0  1 of 4  4 1
 Ut_sanc   27th 17:56:17   20'53 Min   2  1 8 7 0  4 of 6  4 3
 Ut_sands   27th 18:19:23   19'01 Min   22  7 8 1 0  1 of 10  5 1
 Ut_siberia   27th 18:39:54   19'21 Min   12  4 7 3 0  2 of 10  6 2
 Ut_streets2   27th 19:00:25   21'05 Min   31  11 16 5 0  1 of 10  8 2
 Ut_swim   27th 19:22:53   4'36 Min   -13  -1 0 1 0  5 of 7  1 1
 Ut_swim   27th 19:28:31   15'34 Min   11  3 9 6 0  2 of 8  4 4
 Ut_turnpike   27th 19:45:47   14'22 Min   45  11 16 5 0  1 of 9  9 2
 Ut_twinlakesv2   27th 20:01:44   21'30 Min   2  1 9 8 0  4 of 9  3 2
10   Ut_uptown   27th 20:24:52   19'16 Min   43  14 20 6 0  1 of 11  8 2
11   Ut_village2   27th 20:45:45   18'13 Min   52  16 22 6 0  1 of 11  14 2
13   Ut_casa   27th 21:09:27   20'31 Min   2  1 5 3 1  3 of 10  2 1
14   Ut_golgotha2   27th 21:31:19   20'05 Min   44  15 20 5 0  1 of 11  8 1
15   Ut_golgotha2   27th 21:52:16   20'46 Min   2  1 13 11 1  4 of 11  3 4
16   Ut_27   27th 22:14:37   2'40 Min   67  3 11 8 0  3 of 11  3 2
17   Ut_27   27th 22:17:53   20 Secs   0  -1 0 1 0  9 of 11  1 1
18   Ut_abbey2   27th 22:19:36   20'55 Min   17  6 16 9 1  3 of 11  5 2
19   Ut_abbey2   27th 22:41:53   18'36 Min   25  8 16 8 0  2 of 11  4 3
20   Ut_algiers   27th 23:03:54   18'31 Min   35  11 18 6 1  1 of 10  5 2
21   Ut_commune2   27th 23:23:39   13'31 Min   26  6 15 8 1  1 of 11  6 3
22   Ut_cargo   27th 23:38:19   20'26 Min   2  1 7 6 0  5 of 11  3 4
23   Ut_ricochet   28th 0:00:42   19'31 Min   9  3 11 8 0  2 of 9  2 2
25   Ut_sanc   28th 0:25:19   1:43'55 Hours   1  3 6 3 0  2 of 12  2 1
26   Ut_sands   28th 2:11:30   18'48 Min   25  8 11 3 0  1 of 11  9 2
27   Ut_siberia   28th 2:31:52   20'27 Min   29  10 17 7 0  1 of 11  6 2
28   Ut_streets2   28th 2:54:06   5'53 Min   0  0 2 1 1  5 of 11  2 1
29   Ut_streets2   28th 3:00:57   22'05 Min   16  6 11 5 0  1 of 11  4 2
30   Ut_swim   28th 3:24:29   18'38 Min   6  2 7 5 0  4 of 10  2 2
31   Ut_turnpike   28th 3:44:29   19'32 Min   21  7 16 9 0  2 of 10  7 2
32   Ut_twinlakesv2   28th 4:05:26   19'28 Min   12  4 12 8 0  2 of 10  3 1
33   Ut_uptown   28th 4:26:00   20'53 Min   28  10 14 4 0  1 of 10  5 1
34   Ut_village2   28th 4:48:16   20'11 Min   41  14 21 7 0  1 of 10  8 1
35   Ut_streets2   28th 5:11:47   11'02 Min   0  0 2 2 0  4 of 7  1 1
36   Ut_streets2   28th 5:24:19   11'03 Min   -32  -6 4 10 0  6 of 7  1 3
      Average -> 18 183 374 185 6 2.6 4.6 1.9



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Tuesday, January 27th 13:27 2004
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