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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 71.41%
Members: 29 active members (75 total)
Avg. Member Points: 11,759
Total Kills: 350,314
Total Deaths: 301,725
Avg. Kills: 12,080
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 391d 19:56:09h
Avg. Connection Time: 13d 12:16:25h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank sort-descending.gif Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 19.75% 31,506 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.03% 38,713 1.09
3  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 5.49% 12,180 1.58
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.71% 15,929 1.48
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.01% 15,207 1.15
6  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.11% 24,192 1.03
7  Russian federationLoony elorank 9,689 30d 15:24:42h 20,123 5.74% 22,358 0.90
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.61% 18,072 0.89
9  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.30% 10,412 1.11
10  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 3.97% 13,456 1.03
11  Russian federationStanislav752 elorank 10,304 16d 15:43:02h 13,578 3.88% 13,236 1.03
12  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.08% 5,572 1.93
13  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.64% 14,654 0.63
14  Russian federationубивашка 62 elorank 17,725 6d 09:54:52h 7,691 2.20% 5,229 1.47
15  Russian federation⇜Ṧ†êrvå⇝ elorank 9,416 6d 14:41:22h 4,769 1.36% 6,249 0.76
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.69% 7,910 0.75
17  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.71% 8,932 0.67
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.43% 11,872 0.42
19  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.22% 3,263 1.31
20  Russian federationИлья190RUS elorank 12,894 3d 22:56:05h 4,123 1.18% 3,598 1.15


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 12,100 times -24200
2 Kill a Hostage 18 times -270
3 Round MVP 15,881 times 0
4 Start Defusing the Bomb With a Defuse Kit 643 times 0
5 Start Defusing the Bomb Without a Defuse Kit 59 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 3 times 15
9 Rampage (5 kills) 43 times 172
10 Domination (4 kills) 388 times 1,164
11 Triple Kill (3 kills) 2,327 times 4,654
12 Revenge 1,575 times 4,725
13 Defuse the Bomb 476 times 4,760
14 Double Kill (2 kills) 9,984 times 9,984
15 Domination 3,043 times 15,215
16 Headshot 24,585 times 24,585
17 Plant the Bomb 4,184 times 41,840
18 Pick up the Bomb 21,397 times 42,794




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,502 times -12510
2 Revenge 1,794 times -5382




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,906 times 27.77%
2 Counter-Terrorist 2,277 times 21.76%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 H&K UMP45 1.20 33 0.01% 16 0.01% 0.48
3 Fusil Automatique 1.00 43 0.01% 20 0.02% 0.47
4 Steyr Tactical Machine Pistol 1.50 54 0.02% 26 0.02% 0.48
5 Benelli/H&K M4 Super 90 XM1014 1.10 61 0.02% 21 0.02% 0.34
6 FN Five-Seven 1.50 63 0.02% 31 0.02% 0.49
7 Steyr Aug 1.00 67 0.02% 33 0.02% 0.49
8 Ingram MAC-10 1.50 79 0.02% 35 0.03% 0.44
9 Glock 18 Select Fire 1.40 95 0.03% 44 0.03% 0.46
10 H&K MP5-Navy 1.20 106 0.03% 46 0.03% 0.43
11 Galil 1.10 109 0.03% 45 0.03% 0.41
12 H&K USP .45 Tactical 1.40 128 0.04% 67 0.05% 0.52
13 Dual Beretta 96G Elite 1.40 219 0.06% 102 0.08% 0.47
14 Benelli M3 Super 90 Combat 1.20 562 0.16% 240 0.18% 0.43
15 Sig Sauer SG-552 Commando 1.00 843 0.24% 368 0.28% 0.44
16 Sig Sauer P-228 1.50 1,304 0.37% 558 0.42% 0.43
17 Bundeswehr Advanced Combat Knife 2.00 1,619 0.46% 2 0.00% 0.00
18 FN P90 1.20 1,690 0.48% 744 0.56% 0.44
19 Arctic Warfare Magnum (Police) 1.00 2,130 0.61% 357 0.27% 0.17
20 M249 PARA Light Machine Gun 1.20 2,198 0.63% 1,048 0.79% 0.48
21 High Explosive Grenade 1.80 2,321 0.66% 0 0.00% 0.00
22 Steyr Scout 1.10 5,702 1.63% 3,588 2.70% 0.63
23 Desert Eagle .50AE 1.20 6,187 1.77% 3,484 2.62% 0.56
24 Colt M4A1 Carbine 1.00 10,895 3.11% 5,001 3.76% 0.46
25 Kalashnikov AK-47 1.00 17,007 4.85% 8,724 6.56% 0.51




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0
2 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
3 H&K UMP45 2,049 260 5,206 16 32 16.0000 12.7% 20.0 64.0
4 Fusil Automatique 1,152 192 6,104 19 41 41.0000 16.7% 31.8 28.1
5 Steyr Tactical Machine Pistol 3,118 421 7,532 25 53 53.0000 13.5% 17.9 58.8
6 Benelli/H&K M4 Super 90 XM1014 1,150 747 8,781 21 61 12.2000 65.0% 11.8 18.9
7 FN Five-Seven 1,374 341 9,175 32 64 32.0000 24.8% 26.9 21.5
8 Steyr Aug 2,730 364 10,917 34 68 8.5000 13.3% 30.0 40.1
9 Ingram MAC-10 2,749 484 9,012 34 76 76.0000 17.6% 18.6 36.2
10 Glock 18 Select Fire 5,048 854 14,538 43 93 6.2000 16.9% 17.0 54.3
11 H&K MP5-Navy 5,041 915 15,355 45 104 10.4000 18.2% 16.8 48.5
12 Galil 2,920 445 15,113 45 109 54.5000 15.2% 34.0 26.8
13 H&K USP .45 Tactical 4,962 923 18,721 66 127 9.7692 18.6% 20.3 39.1
14 Dual Beretta 96G Elite 5,459 1,082 30,294 102 219 73.0000 19.8% 28.0 24.9
15 Bundeswehr Advanced Combat Knife 11,498 1,154 61,675 2 403 1.6316 10.0% 53.4 28.5
16 Benelli M3 Super 90 Combat 2,674 5,340 76,297 240 562 1.9181 199.7% 14.3 4.8
17 Sig Sauer SG-552 Commando 63,115 4,233 122,156 368 844 36.6957 6.7% 28.9 74.8
18 Sig Sauer P-228 35,205 5,559 170,336 558 1,304 21.3770 15.8% 30.6 27.0
19 FN P90 81,970 9,534 222,968 744 1,690 10.9740 11.6% 23.4 48.5
20 Arctic Warfare Magnum (Police) 8,962 3,082 412,127 357 2,129 4.9169 34.4% 133.7 4.2
21 M249 PARA Light Machine Gun 114,645 8,324 308,259 1,049 2,199 12.7110 7.3% 37.0 52.1
22 Steyr Scout 46,484 13,827 1,309,237 3,581 5,696 2.3192 29.7% 94.7 8.2
23 Desert Eagle .50AE 67,486 17,291 898,099 3,481 6,183 4.1721 25.6% 51.9 10.9
24 Colt M4A1 Carbine 374,619 48,038 1,531,768 4,998 10,892 11.5504 12.8% 31.9 34.4
25 Kalashnikov AK-47 547,819 61,157 2,393,457 8,716 16,996 8.8659 11.2% 39.1 32.2




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 0.0%
2 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
3 Bundeswehr Advanced Combat Knife 46 23.9% 69.6% 6.5%
4 Fusil Automatique 192 23.4% 62.5% 14.1%
5 H&K UMP45 260 25.0% 54.2% 20.8%
6 FN Five-Seven 341 23.2% 62.8% 14.1%
7 Steyr Aug 364 28.0% 55.8% 16.2%
8 Steyr Tactical Machine Pistol 421 25.4% 63.7% 10.9%
9 Galil 445 28.1% 56.9% 15.1%
10 Ingram MAC-10 484 25.4% 60.5% 14.0%
11 Benelli/H&K M4 Super 90 XM1014 747 26.8% 56.1% 17.1%
12 Glock 18 Select Fire 854 26.3% 61.9% 11.7%
13 H&K MP5-Navy 915 28.3% 57.0% 14.6%
14 H&K USP .45 Tactical 923 25.1% 61.6% 13.2%
15 Dual Beretta 96G Elite 1,082 25.1% 61.3% 13.6%
16 Arctic Warfare Magnum (Police) 3,082 32.8% 57.3% 9.9%
17 Sig Sauer SG-552 Commando 4,233 29.3% 55.6% 15.1%
18 Benelli M3 Super 90 Combat 5,340 30.1% 57.1% 12.8%
19 Sig Sauer P-228 5,559 28.8% 57.6% 13.6%
20 M249 PARA Light Machine Gun 8,324 28.4% 56.5% 15.1%
21 FN P90 9,534 28.0% 56.2% 15.8%
22 Steyr Scout 13,802 26.5% 64.7% 8.8%
23 Desert Eagle .50AE 17,291 26.4% 61.4% 12.1%
24 Colt M4A1 Carbine 48,038 27.9% 59.1% 13.0%
25 Kalashnikov AK-47 61,157 27.3% 58.7% 14.0%


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 / 350314 * 100, 2) AS kpercent,
			ROUND(headshots / 132995 * 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