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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 71.96%
Members: 29 active members (75 total)
Avg. Member Points: 11,707
Total Kills: 348,728
Total Deaths: 300,200
Avg. Kills: 12,025
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 390d 05:12:09h
Avg. Connection Time: 13d 10:56:16h
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 33,656 46d 22:33:01h 69,099 19.81% 31,444 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.09% 38,713 1.09
3  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.52% 12,180 1.58
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.74% 15,929 1.48
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.03% 15,207 1.15
6  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.15% 24,192 1.03
7  Russian federationLoony elorank 9,640 30d 13:29:04h 20,090 5.76% 22,285 0.90
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.63% 18,072 0.89
9  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.31% 10,412 1.11
10  Russian federationStanislav752 elorank 10,669 16d 05:21:53h 13,213 3.79% 12,859 1.03
11  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.98% 13,411 1.03
12  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.09% 5,572 1.93
13  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.65% 14,654 0.63
14  Russian federationубивашка 62 elorank 17,312 6d 01:12:44h 7,245 2.08% 4,875 1.49
15  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
16  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
17  Russian federationBISON elorank 10,585 8d 21:41:15h 5,892 1.69% 8,798 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 1.23% 3,263 1.31
20  Russian federationИлья190RUS elorank 13,038 3d 22:13:44h 4,105 1.18% 3,569 1.15


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rescue a Hostage 1 times 5
2 Mega Kill (6 kills) 4 times 20
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 44 times 176
6 Start Defusing the Bomb Without a Defuse Kit 61 times 0
7 Domination (4 kills) 426 times 1,278
8 Defuse the Bomb 477 times 4,770
9 Start Defusing the Bomb With a Defuse Kit 646 times 0
10 Revenge 1,630 times 4,890
11 Triple Kill (3 kills) 2,464 times 4,928
12 Domination 3,183 times 15,915
13 Plant the Bomb 4,445 times 44,450
14 Double Kill (2 kills) 10,405 times 10,405
15 Drop the Bomb 12,315 times -24630
16 Round MVP 16,300 times 0
17 Pick up the Bomb 22,025 times 44,050
18 Headshot 25,485 times 25,485




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,616 times -13080
2 Revenge 1,864 times -5592




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,020 times 28.00%
2 Counter-Terrorist 2,334 times 21.64%




  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 34 0.01% 16 0.01% 0.47
3 Fusil Automatique 1.00 43 0.01% 20 0.02% 0.47
4 Steyr Tactical Machine Pistol 1.50 55 0.02% 27 0.02% 0.49
5 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
6 Benelli/H&K M4 Super 90 XM1014 1.10 66 0.02% 24 0.02% 0.36
7 Steyr Aug 1.00 71 0.02% 35 0.03% 0.49
8 Glock 18 Select Fire 1.40 98 0.03% 45 0.03% 0.46
9 Ingram MAC-10 1.50 99 0.03% 45 0.03% 0.45
10 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
11 Galil 1.10 117 0.03% 47 0.04% 0.40
12 H&K USP .45 Tactical 1.40 130 0.04% 68 0.05% 0.52
13 Dual Beretta 96G Elite 1.40 221 0.06% 102 0.08% 0.46
14 Benelli M3 Super 90 Combat 1.20 603 0.17% 262 0.20% 0.43
15 Sig Sauer SG-552 Commando 1.00 962 0.28% 428 0.32% 0.44
16 Sig Sauer P-228 1.50 1,248 0.36% 529 0.40% 0.42
17 Bundeswehr Advanced Combat Knife 2.00 1,601 0.46% 2 0.00% 0.00
18 FN P90 1.20 1,609 0.46% 720 0.54% 0.45
19 M249 PARA Light Machine Gun 1.20 2,195 0.63% 1,053 0.80% 0.48
20 Arctic Warfare Magnum (Police) 1.00 2,332 0.67% 386 0.29% 0.17
21 High Explosive Grenade 1.80 2,439 0.70% 0 0.00% 0.00
22 Steyr Scout 1.10 5,851 1.68% 3,680 2.78% 0.63
23 Desert Eagle .50AE 1.20 6,391 1.83% 3,563 2.69% 0.56
24 Colt M4A1 Carbine 1.00 11,379 3.26% 5,177 3.91% 0.45
25 Kalashnikov AK-47 1.00 18,059 5.18% 9,193 6.95% 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 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
4 Fusil Automatique 1,123 192 6,107 19 41 41.0000 17.1% 31.8 27.4
5 Steyr Tactical Machine Pistol 3,274 447 7,866 26 54 54.0000 13.7% 17.6 60.6
6 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
7 Benelli/H&K M4 Super 90 XM1014 1,248 807 9,511 24 66 13.2000 64.7% 11.8 18.9
8 Steyr Aug 2,820 390 11,516 36 72 10.2857 13.8% 29.5 39.2
9 Glock 18 Select Fire 5,110 871 14,861 44 96 6.4000 17.0% 17.1 53.2
10 Ingram MAC-10 3,499 654 12,215 44 96 48.0000 18.7% 18.7 36.4
11 H&K MP5-Navy 4,963 908 15,225 45 103 11.4444 18.3% 16.8 48.2
12 Galil 3,354 489 16,087 47 117 58.5000 14.6% 32.9 28.7
13 H&K USP .45 Tactical 5,107 918 18,793 67 129 9.9231 18.0% 20.5 39.6
14 Dual Beretta 96G Elite 5,596 1,099 30,532 102 221 73.6667 19.6% 27.8 25.3
15 Bundeswehr Advanced Combat Knife 11,686 1,113 57,804 2 384 1.6842 9.5% 51.9 30.4
16 Benelli M3 Super 90 Combat 2,792 5,590 80,702 262 603 2.0167 200.2% 14.4 4.6
17 Sig Sauer SG-552 Commando 73,907 4,940 141,619 428 963 40.1250 6.7% 28.7 76.7
18 Sig Sauer P-228 33,518 5,260 161,783 529 1,248 23.1111 15.7% 30.8 26.9
19 FN P90 78,890 9,095 213,685 720 1,609 10.3806 11.5% 23.5 49.0
20 M249 PARA Light Machine Gun 115,245 8,381 310,403 1,054 2,196 12.4773 7.3% 37.0 52.5
21 Arctic Warfare Magnum (Police) 9,708 3,363 450,007 386 2,331 4.9914 34.6% 133.8 4.2
22 Steyr Scout 47,152 14,105 1,343,912 3,673 5,845 2.3857 29.9% 95.3 8.1
23 Desert Eagle .50AE 69,655 17,868 925,435 3,560 6,387 4.2467 25.7% 51.8 10.9
24 Colt M4A1 Carbine 391,619 50,189 1,598,007 5,174 11,376 11.2300 12.8% 31.8 34.4
25 Kalashnikov AK-47 568,143 64,665 2,531,234 9,185 18,046 8.9736 11.4% 39.1 31.5




  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 50 24.0% 68.0% 8.0%
4 Fusil Automatique 192 23.4% 62.5% 14.1%
5 H&K UMP45 269 26.4% 53.5% 20.1%
6 FN Five-Seven 344 23.3% 62.5% 14.2%
7 Steyr Aug 390 27.9% 56.4% 15.6%
8 Steyr Tactical Machine Pistol 447 25.1% 63.8% 11.2%
9 Galil 489 28.8% 55.6% 15.5%
10 Ingram MAC-10 654 26.8% 58.9% 14.4%
11 Benelli/H&K M4 Super 90 XM1014 807 27.3% 56.0% 16.7%
12 Glock 18 Select Fire 871 26.6% 62.0% 11.4%
13 H&K MP5-Navy 908 28.3% 57.0% 14.6%
14 H&K USP .45 Tactical 918 25.1% 61.8% 13.2%
15 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
16 Arctic Warfare Magnum (Police) 3,363 32.6% 57.5% 9.9%
17 Sig Sauer SG-552 Commando 4,940 29.0% 55.6% 15.3%
18 Sig Sauer P-228 5,260 28.6% 57.7% 13.6%
19 Benelli M3 Super 90 Combat 5,590 29.7% 57.5% 12.8%
20 M249 PARA Light Machine Gun 8,381 28.6% 56.7% 14.7%
21 FN P90 9,095 27.9% 56.5% 15.7%
22 Steyr Scout 14,080 26.4% 64.8% 8.8%
23 Desert Eagle .50AE 17,868 26.3% 61.5% 12.2%
24 Colt M4A1 Carbine 50,189 27.8% 59.2% 13.1%
25 Kalashnikov AK-47 64,665 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 / 348728 * 100, 2) AS kpercent,
			ROUND(headshots / 132244 * 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