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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 75.27%
Members: 29 active members (74 total)
Avg. Member Points: 11,882
Total Kills: 374,680
Total Deaths: 311,188
Avg. Kills: 12,920
Kills per Death: 1.20
Kills per Minute: 0.64
Total Connection Time: 407d 11:04:59h
Avg. Connection Time: 14d 01:12:35h
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 33,787 46d 21:12:43h 69,011 18.42% 31,407 2.20
2  Russian federation♛℟usłan¢ħiҟ♛ elorank 17,806 24d 07:33:46h 32,536 8.68% 16,883 1.93
3  Russian federationKAZANTIP elorank 12,983 50d 00:01:58h 42,120 11.24% 38,689 1.09
4  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.14% 12,180 1.58
5  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.27% 15,929 1.48
6  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.68% 15,207 1.15
7  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.65% 24,192 1.03
8  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.32% 22,106 0.90
9  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.31% 18,072 0.89
10  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.08% 10,412 1.11
11  Russian federationStanislav752 elorank 10,965 15d 10:06:29h 12,796 3.42% 12,126 1.06
12  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.70% 13,411 1.03
13  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 2.88% 5,572 1.93
14  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.47% 14,654 0.63
15  Russian federationубивашка 62 elorank 17,001 4d 22:11:14h 5,850 1.56% 4,008 1.46
16  Russian federation⇜Ṧ†êrvå⇝ elorank 9,392 6d 13:16:24h 4,740 1.27% 6,197 0.76
17  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.58% 7,910 0.75
18  Russian federationBISON elorank 10,010 7d 22:42:28h 5,230 1.40% 7,894 0.66
19  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.33% 11,872 0.42
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.14% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 27,624 times 27,624
2 Pick up the Bomb 23,106 times 46,212
3 Round MVP 17,204 times 0
4 Drop the Bomb 12,815 times -25630
5 Double Kill (2 kills) 10,796 times 10,796
6 Plant the Bomb 4,873 times 48,730
7 Domination 3,383 times 16,915
8 Triple Kill (3 kills) 2,608 times 5,216
9 Revenge 1,666 times 4,998
10 Start Defusing the Bomb With a Defuse Kit 704 times 0
11 Defuse the Bomb 507 times 5,070
12 Domination (4 kills) 452 times 1,356
13 Start Defusing the Bomb Without a Defuse Kit 68 times 0
14 Rampage (5 kills) 49 times 196
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,679 times -13395
2 Revenge 1,999 times -5997




  Team Selection *

Rank Team sort-ascending.gif Joined Percentage of Times %
1 Counter-Terrorist 2,415 times 21.33%
2 Terrorist 3,180 times 28.09%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 20,153 5.38% 10,191 7.28% 0.51
2 Colt M4A1 Carbine 1.00 11,659 3.11% 5,269 3.76% 0.45
3 Desert Eagle .50AE 1.20 6,359 1.70% 3,572 2.55% 0.56
4 Steyr Scout 1.10 5,751 1.53% 3,585 2.56% 0.62
5 High Explosive Grenade 1.80 2,518 0.67% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,405 0.64% 391 0.28% 0.16
7 M249 PARA Light Machine Gun 1.20 2,100 0.56% 1,033 0.74% 0.49
8 Bundeswehr Advanced Combat Knife 2.00 1,659 0.44% 2 0.00% 0.00
9 FN P90 1.20 1,504 0.40% 665 0.47% 0.44
10 Sig Sauer P-228 1.50 1,271 0.34% 535 0.38% 0.42
11 Sig Sauer SG-552 Commando 1.00 985 0.26% 440 0.31% 0.45
12 Benelli M3 Super 90 Combat 1.20 654 0.17% 274 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 222 0.06% 101 0.07% 0.45
14 H&K USP .45 Tactical 1.40 138 0.04% 71 0.05% 0.51
15 Galil 1.10 126 0.03% 53 0.04% 0.42
16 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
17 Glock 18 Select Fire 1.40 104 0.03% 51 0.04% 0.49
18 H&K MP5-Navy 1.20 102 0.03% 44 0.03% 0.43
19 Steyr Aug 1.00 86 0.02% 42 0.03% 0.49
20 Benelli/H&K M4 Super 90 XM1014 1.10 79 0.02% 28 0.02% 0.35
21 Steyr Tactical Machine Pistol 1.50 60 0.02% 30 0.02% 0.50
22 FN Five-Seven 1.50 59 0.02% 28 0.02% 0.47
23 Fusil Automatique 1.00 42 0.01% 21 0.01% 0.50
24 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
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 sort-descending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Kalashnikov AK-47 611,707 74,000 2,948,588 11,021 21,197 9.4461 12.1% 39.8 28.9
2 Colt M4A1 Carbine 419,409 51,726 1,641,618 5,266 11,656 10.8935 12.3% 31.7 36.0
3 Desert Eagle .50AE 69,234 18,125 953,452 3,744 6,562 4.4428 26.2% 52.6 10.6
4 Steyr Scout 46,146 13,900 1,327,499 3,585 5,763 2.4461 30.1% 95.5 8.0
5 Arctic Warfare Magnum (Police) 10,087 3,490 466,201 398 2,413 5.0587 34.6% 133.6 4.2
6 M249 PARA Light Machine Gun 109,817 8,108 306,868 1,091 2,164 13.1152 7.4% 37.8 50.7
7 FN P90 75,157 8,516 199,222 665 1,504 10.1622 11.3% 23.4 50.0
8 Sig Sauer P-228 33,311 5,215 161,610 535 1,271 23.5370 15.7% 31.0 26.2
9 Sig Sauer SG-552 Commando 74,685 5,069 146,883 453 1,001 38.5000 6.8% 29.0 74.6
10 Benelli M3 Super 90 Combat 2,938 5,985 86,258 274 654 2.0895 203.7% 14.4 4.5
11 Bundeswehr Advanced Combat Knife 12,528 1,249 64,090 2 427 1.7572 10.0% 51.3 29.3
12 Dual Beretta 96G Elite 5,481 1,099 30,508 101 222 74.0000 20.1% 27.8 24.7
13 H&K USP .45 Tactical 5,289 947 19,683 70 137 10.5385 17.9% 20.8 38.6
14 Galil 3,713 533 17,625 53 126 63.0000 14.4% 33.1 29.5
15 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
16 Glock 18 Select Fire 5,067 888 15,675 50 102 6.8000 17.5% 17.7 49.7
17 H&K MP5-Navy 4,887 886 14,719 43 100 11.1111 18.1% 16.6 48.9
18 Steyr Aug 3,149 449 13,373 43 87 12.4286 14.3% 29.8 36.2
19 Benelli/H&K M4 Super 90 XM1014 1,376 957 11,304 28 79 15.8000 69.5% 11.8 17.4
20 FN Five-Seven 1,285 334 8,810 29 60 30.0000 26.0% 26.4 21.4
21 Steyr Tactical Machine Pistol 3,957 502 8,956 29 59 59.0000 12.7% 17.8 67.1
22 Fusil Automatique 1,106 194 6,107 20 40 40.0000 17.5% 31.5 27.7
23 H&K UMP45 2,045 267 5,399 16 33 16.5000 13.1% 20.2 62.0
24 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
25 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 74,000 26.8% 59.5% 13.6%
2 Colt M4A1 Carbine 51,726 27.7% 59.3% 13.0%
3 Desert Eagle .50AE 18,125 25.9% 62.2% 11.9%
4 Steyr Scout 13,875 26.5% 64.8% 8.6%
5 FN P90 8,516 28.1% 56.3% 15.6%
6 M249 PARA Light Machine Gun 8,108 28.3% 57.4% 14.4%
7 Benelli M3 Super 90 Combat 5,985 29.5% 57.5% 12.9%
8 Sig Sauer P-228 5,215 28.9% 57.4% 13.7%
9 Sig Sauer SG-552 Commando 5,069 28.8% 56.0% 15.2%
10 Arctic Warfare Magnum (Police) 3,490 32.7% 57.4% 9.9%
11 Dual Beretta 96G Elite 1,099 24.9% 61.5% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 957 27.3% 56.4% 16.3%
13 H&K USP .45 Tactical 947 25.0% 62.7% 12.2%
14 Glock 18 Select Fire 888 26.1% 62.5% 11.4%
15 H&K MP5-Navy 886 28.6% 56.5% 14.9%
16 Ingram MAC-10 826 26.6% 59.0% 14.4%
17 Galil 533 28.0% 55.3% 16.7%
18 Steyr Tactical Machine Pistol 502 26.3% 62.4% 11.4%
19 Steyr Aug 449 27.8% 57.0% 15.1%
20 FN Five-Seven 334 23.7% 62.0% 14.4%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 194 21.1% 64.9% 13.9%
23 Bundeswehr Advanced Combat Knife 59 22.0% 71.2% 6.8%
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 / 374680 * 100, 2) AS kpercent,
			ROUND(headshots / 140070 * 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