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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 88.40%
Members: 22 active members (77 total)
Avg. Member Points: 13,314
Total Kills: 289,612
Total Deaths: 243,750
Avg. Kills: 13,164
Kills per Death: 1.19
Kills per Minute: 0.64
Total Connection Time: 315d 02:06:51h
Avg. Connection Time: 14d 07:43:56h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
21  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,434 13d 21:02:15h 5,015 1.73% 11,939 0.42
22  Russian federationНикита elorank 4,760 1d 03:42:58h 880 0.30% 1,005 0.88


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 10,774 times 10,774
2 Pick up the Bomb 8,915 times 17,830
3 Round MVP 6,830 times 0
4 Drop the Bomb 5,667 times -11334
5 Double Kill (2 kills) 4,235 times 4,235
6 Domination 1,206 times 6,030
7 Plant the Bomb 999 times 9,990
8 Triple Kill (3 kills) 956 times 1,912
9 Revenge 622 times 1,866
10 Start Defusing the Bomb With a Defuse Kit 262 times 0
11 Defuse the Bomb 190 times 1,900
12 Domination (4 kills) 122 times 366
13 Start Defusing the Bomb Without a Defuse Kit 19 times 0
14 Rampage (5 kills) 11 times 44




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-ascending.gif Points Bonus
1 Revenge 767 times -2301
2 Domination 1,004 times -5020




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 1,521 times 25.77%
2 Counter-Terrorist 1,303 times 22.08%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 7,135 2.46% 3,629 3.45% 0.51
2 Colt M4A1 Carbine 1.00 5,499 1.90% 2,616 2.48% 0.48
3 Steyr Scout 1.10 2,451 0.85% 1,512 1.44% 0.62
4 Desert Eagle .50AE 1.20 2,318 0.80% 1,235 1.17% 0.53
5 M249 PARA Light Machine Gun 1.20 1,251 0.43% 670 0.64% 0.54
6 High Explosive Grenade 1.80 869 0.30% 0 0.00% 0.00
7 FN P90 1.20 663 0.23% 321 0.30% 0.48
8 Sig Sauer P-228 1.50 654 0.23% 291 0.28% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 623 0.22% 0 0.00% 0.00
10 Arctic Warfare Magnum (Police) 1.00 394 0.14% 68 0.06% 0.17
11 Steyr Tactical Machine Pistol 1.50 237 0.08% 127 0.12% 0.54
12 Benelli M3 Super 90 Combat 1.20 190 0.07% 63 0.06% 0.33
13 Sig Sauer SG-552 Commando 1.00 113 0.04% 58 0.06% 0.51
14 Steyr Aug 1.00 91 0.03% 38 0.04% 0.42
15 H&K USP .45 Tactical 1.40 76 0.03% 45 0.04% 0.59
16 Glock 18 Select Fire 1.40 36 0.01% 17 0.02% 0.47
17 Fusil Automatique 1.00 30 0.01% 15 0.01% 0.50
18 Dual Beretta 96G Elite 1.40 22 0.01% 10 0.01% 0.45
19 Galil 1.10 20 0.01% 6 0.01% 0.30
20 FN Five-Seven 1.50 11 0.00% 3 0.00% 0.27
21 Ingram MAC-10 1.50 10 0.00% 5 0.00% 0.50
22 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
23 H&K MP5-Navy 1.20 5 0.00% 3 0.00% 0.60
24 H&K UMP45 1.20 4 0.00% 2 0.00% 0.50




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills Kills per Death sort-descending.gif Accuracy Damage per Hit Shots per Kill
1 Steyr Tactical Machine Pistol 9,007 1,716 31,650 127 237 237.0000 19.1% 18.4 38.0
2 H&K USP .45 Tactical 2,536 473 9,790 45 77 77.0000 18.7% 20.7 32.9
3 Steyr Aug 1,669 346 11,263 38 91 45.5000 20.7% 32.6 18.3
4 Glock 18 Select Fire 2,374 384 5,962 17 36 36.0000 16.2% 15.5 65.9
5 Fusil Automatique 996 144 4,214 15 30 30.0000 14.5% 29.3 33.2
6 Sig Sauer SG-552 Commando 13,951 660 17,531 58 113 22.6000 4.7% 26.6 123.5
7 Dual Beretta 96G Elite 917 101 2,771 10 21 21.0000 11.0% 27.4 43.7
8 Galil 524 77 2,420 6 20 20.0000 14.7% 31.4 26.2
9 Sig Sauer P-228 15,859 2,434 78,626 291 653 13.3265 15.3% 32.3 24.3
10 M249 PARA Light Machine Gun 50,168 4,501 180,961 678 1,264 13.3053 9.0% 40.2 39.7
11 FN P90 22,961 3,597 88,642 322 665 12.7885 15.7% 24.6 34.5
12 FN Five-Seven 238 56 1,193 3 11 11.0000 23.5% 21.3 21.6
13 Ingram MAC-10 399 70 1,514 5 10 10.0000 17.5% 21.6 39.9
14 Colt M4A1 Carbine 194,225 23,513 755,064 2,621 5,507 9.2090 12.1% 32.1 35.3
15 Kalashnikov AK-47 344,017 27,127 1,030,468 3,640 7,149 6.7635 7.9% 38.0 48.1
16 Benelli/H&K M4 Super 90 XM1014 89 71 811 2 6 6.0000 79.8% 11.4 14.8
17 Arctic Warfare Magnum (Police) 1,394 531 74,932 68 396 5.2800 38.1% 141.1 3.5
18 H&K MP5-Navy 359 61 867 3 5 5.0000 17.0% 14.2 71.8
19 Desert Eagle .50AE 25,192 6,360 331,221 1,246 2,329 4.8320 25.2% 52.1 10.8
20 H&K UMP45 106 18 379 2 4 4.0000 17.0% 21.1 26.5
21 Steyr Scout 20,678 6,110 570,831 1,514 2,456 2.1831 29.5% 93.4 8.4
22 Benelli M3 Super 90 Combat 881 1,938 27,066 63 190 1.4615 220.0% 14.0 4.6
23 Bundeswehr Advanced Combat Knife 2,502 337 19,269 0 122 1.3407 13.5% 57.2 20.5




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 27,127 28.4% 57.1% 14.5%
2 Colt M4A1 Carbine 23,513 27.5% 59.4% 13.1%
3 Desert Eagle .50AE 6,360 27.8% 60.6% 11.5%
4 Steyr Scout 6,110 27.6% 63.0% 9.4%
5 M249 PARA Light Machine Gun 4,501 26.9% 59.5% 13.6%
6 FN P90 3,597 26.8% 58.8% 14.4%
7 Sig Sauer P-228 2,434 26.3% 59.8% 14.0%
8 Benelli M3 Super 90 Combat 1,938 31.8% 56.4% 11.8%
9 Steyr Tactical Machine Pistol 1,716 25.5% 63.7% 10.8%
10 Sig Sauer SG-552 Commando 660 31.5% 51.2% 17.3%
11 Arctic Warfare Magnum (Police) 531 32.4% 57.8% 9.8%
12 H&K USP .45 Tactical 473 23.7% 65.3% 11.0%
13 Glock 18 Select Fire 384 25.0% 62.8% 12.2%
14 Steyr Aug 346 26.3% 63.3% 10.4%
15 Fusil Automatique 144 22.9% 64.6% 12.5%
16 Dual Beretta 96G Elite 101 25.7% 68.3% 5.9%
17 Galil 77 23.4% 57.1% 19.5%
18 Benelli/H&K M4 Super 90 XM1014 71 21.1% 67.6% 11.3%
19 Ingram MAC-10 70 25.7% 61.4% 12.9%
20 H&K MP5-Navy 61 26.2% 54.1% 19.7%
21 FN Five-Seven 56 23.2% 53.6% 23.2%
22 Bundeswehr Advanced Combat Knife 29 37.9% 58.6% 3.4%
23 H&K UMP45 18 33.3% 50.0% 16.7%


Targets
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ERROR
Database Error

Server Address: 192.168.1.189
Server Username: hlstatsxce

Error Diagnostic:
Bad query.

Server Error: (1052) Column 'map' in order clause is ambiguous

Last SQL Query:
		SELECT *, 
			IFNULL(kills/deaths, '-') AS kpd,
			IFNULL(headshots / kills, '-') AS hpk,
			ROUND(kills / 289612 * 100, 2) AS kpercent,
			ROUND(headshots / 105304 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map desc,
			kills desc