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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.29%
Members: 27 active members (73 total)
Avg. Member Points: 11,452
Total Kills: 336,773
Total Deaths: 290,866
Avg. Kills: 12,473
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 378d 20:50:47h
Avg. Connection Time: 14d 00:46:19h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-ascending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.75% 14,654 0.63
2  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.21% 15,207 1.15
3  Russian federationBISON elorank 9,885 8d 02:54:59h 5,337 1.58% 8,042 0.66
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.72% 12,180 1.58
5  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 12.51% 38,689 1.09
6  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.76% 7,910 0.75
7  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.92% 22,106 0.90
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.27% 3,263 1.31
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.80% 18,072 0.89
10  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.43% 10,412 1.11
11  Russian federationShalfeYka elorank 10,011 2d 00:45:15h 1,783 0.53% 1,784 1.00
12  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,963 3d 12:02:46h 3,320 0.99% 3,500 0.95
13  Russian federationSprut elorank 9,331 2d 04:27:00h 1,735 0.52% 2,242 0.77
14  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.85% 12,310 1.05
15  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.32% 5,036 0.88
16  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.40% 24,192 1.03
17  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.32% 775 1.38
18  Russian federationmazut elorank 6,887 0d 19:35:43h 817 0.24% 754 1.08
19  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 4.12% 13,411 1.03
20  Russian federationzloy bober elorank 6,287 0d 17:49:53h 480 0.14% 471 1.02


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 4,452 times 44,520
2 Pick up the Bomb 21,725 times 43,450
3 Headshot 23,581 times 23,581
4 Domination 2,909 times 14,545
5 Double Kill (2 kills) 9,434 times 9,434
6 Revenge 1,546 times 4,638
7 Triple Kill (3 kills) 2,250 times 4,500
8 Defuse the Bomb 392 times 3,920
9 Domination (4 kills) 393 times 1,179
10 Rampage (5 kills) 43 times 172
11 Mega Kill (6 kills) 2 times 10
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 49 times 0
15 Start Defusing the Bomb With a Defuse Kit 590 times 0
16 Round MVP 14,984 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 12,193 times -24386




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,496 times -12480
2 Revenge 1,695 times -5085




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,957 times 28.95%
2 Counter-Terrorist 2,060 times 20.17%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,293 5.43% 9,184 7.27% 0.50
2 Colt M4A1 Carbine 1.00 9,750 2.90% 4,296 3.40% 0.44
3 Desert Eagle .50AE 1.20 5,128 1.52% 2,774 2.20% 0.54
4 Steyr Scout 1.10 5,049 1.50% 3,049 2.41% 0.60
5 Arctic Warfare Magnum (Police) 1.00 2,135 0.63% 328 0.26% 0.15
6 M249 PARA Light Machine Gun 1.20 2,074 0.62% 1,019 0.81% 0.49
7 High Explosive Grenade 1.80 1,986 0.59% 0 0.00% 0.00
8 FN P90 1.20 1,499 0.45% 662 0.52% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,423 0.42% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,268 0.38% 535 0.42% 0.42
11 Sig Sauer SG-552 Commando 1.00 959 0.28% 430 0.34% 0.45
12 Benelli M3 Super 90 Combat 1.20 602 0.18% 251 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 219 0.07% 100 0.08% 0.46
14 H&K USP .45 Tactical 1.40 128 0.04% 65 0.05% 0.51
15 Galil 1.10 119 0.04% 50 0.04% 0.42
16 Ingram MAC-10 1.50 118 0.04% 59 0.05% 0.50
17 Glock 18 Select Fire 1.40 103 0.03% 50 0.04% 0.49
18 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
19 Benelli/H&K M4 Super 90 XM1014 1.10 74 0.02% 27 0.02% 0.36
20 Steyr Aug 1.00 64 0.02% 31 0.02% 0.48
21 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
22 Steyr Tactical Machine Pistol 1.50 50 0.01% 27 0.02% 0.54
23 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
24 Fusil Automatique 1.00 23 0.01% 9 0.01% 0.39
25 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills Kills per Death Accuracy sort-descending.gif Damage per Hit Shots per Kill
1 Benelli M3 Super 90 Combat 2,694 5,404 79,016 251 602 2.0546 200.6% 14.6 4.5
2 Benelli/H&K M4 Super 90 XM1014 1,324 917 10,783 27 74 14.8000 69.3% 11.8 17.9
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Arctic Warfare Magnum (Police) 9,233 3,116 409,414 335 2,143 5.1889 33.7% 131.4 4.3
5 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
6 Steyr Scout 41,349 12,127 1,154,411 3,046 5,047 2.4560 29.3% 95.2 8.2
7 FN Five-Seven 1,214 319 8,515 29 58 29.0000 26.3% 26.7 20.9
8 Desert Eagle .50AE 55,213 14,327 745,134 2,811 5,171 4.1468 25.9% 52.0 10.7
9 Dual Beretta 96G Elite 5,521 1,101 30,268 100 219 73.0000 19.9% 27.5 25.2
10 H&K USP .45 Tactical 4,503 819 17,507 64 127 9.7692 18.2% 21.4 35.5
11 H&K MP5-Navy 4,722 855 14,170 41 98 10.8889 18.1% 16.6 48.2
12 Glock 18 Select Fire 4,974 881 15,544 49 101 6.7333 17.7% 17.6 49.2
13 Fusil Automatique 670 115 3,484 8 21 21.0000 17.2% 30.3 31.9
14 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
15 Sig Sauer P-228 34,059 5,259 162,467 535 1,268 23.9245 15.4% 30.9 26.9
16 Galil 3,338 494 16,512 50 119 59.5000 14.8% 33.4 28.1
17 Steyr Tactical Machine Pistol 2,992 422 7,507 26 49 49.0000 14.1% 17.8 61.1
18 Steyr Aug 2,534 341 10,211 32 65 16.2500 13.5% 29.9 39.0
19 H&K UMP45 2,034 267 5,399 16 33 16.5000 13.1% 20.2 61.6
20 Colt M4A1 Carbine 373,119 43,864 1,378,006 4,297 9,754 10.8378 11.8% 31.4 38.3
21 Kalashnikov AK-47 570,087 66,331 2,621,566 9,613 18,823 9.6331 11.6% 39.5 30.3
22 FN P90 75,159 8,497 198,828 662 1,499 10.1973 11.3% 23.4 50.1
23 Bundeswehr Advanced Combat Knife 12,000 1,154 59,810 2 400 1.7094 9.6% 51.8 30.0
24 M249 PARA Light Machine Gun 109,098 7,971 302,462 1,071 2,132 12.9212 7.3% 37.9 51.2
25 Sig Sauer SG-552 Commando 74,125 4,940 142,960 443 975 42.3913 6.7% 28.9 76.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 66,331 27.2% 59.0% 13.8%
2 Colt M4A1 Carbine 43,864 28.2% 58.5% 13.3%
3 Desert Eagle .50AE 14,327 26.4% 61.0% 12.6%
4 Steyr Scout 12,102 26.5% 64.7% 8.8%
5 FN P90 8,497 28.1% 56.3% 15.6%
6 M249 PARA Light Machine Gun 7,971 28.1% 57.4% 14.5%
7 Benelli M3 Super 90 Combat 5,404 29.7% 57.4% 12.8%
8 Sig Sauer P-228 5,259 28.8% 57.4% 13.7%
9 Sig Sauer SG-552 Commando 4,940 28.9% 55.8% 15.3%
10 Arctic Warfare Magnum (Police) 3,116 32.7% 57.4% 9.8%
11 Dual Beretta 96G Elite 1,101 25.0% 61.5% 13.5%
12 Benelli/H&K M4 Super 90 XM1014 917 26.8% 56.6% 16.6%
13 Glock 18 Select Fire 881 26.1% 62.5% 11.4%
14 H&K MP5-Navy 855 29.4% 56.3% 14.4%
15 Ingram MAC-10 826 26.6% 59.0% 14.4%
16 H&K USP .45 Tactical 819 24.4% 62.4% 13.2%
17 Galil 494 28.9% 55.7% 15.4%
18 Steyr Tactical Machine Pistol 422 27.5% 63.0% 9.5%
19 Steyr Aug 341 27.9% 55.7% 16.4%
20 FN Five-Seven 319 23.2% 61.8% 15.0%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 115 20.0% 64.3% 15.7%
23 Bundeswehr Advanced Combat Knife 53 24.5% 67.9% 7.5%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%


Targets
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ERROR
Database Error

Server Address: localhost
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 / 336773 * 100, 2) AS kpercent,
			ROUND(headshots / 126308 * 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