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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 71.77%
Members: 27 active members (75 total)
Avg. Member Points: 11,834
Total Kills: 307,145
Total Deaths: 263,896
Avg. Kills: 11,376
Kills per Death: 1.16
Kills per Minute: 0.63
Total Connection Time: 339d 12:37:14h
Avg. Connection Time: 12d 13:48:02h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points Activity Time Kills Clan Kills % Deaths sort-descending.gif Kpd
1  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 13.73% 38,713 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 22.53% 31,506 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 8.11% 24,192 1.03
4  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 5.26% 18,072 0.89
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.71% 15,207 1.15
6  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 3.01% 14,654 0.63
7  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.53% 13,456 1.03
8  Russian federationStanislav752 elorank 9,567 16d 22:18:31h 13,748 4.48% 13,426 1.02
9  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 6.27% 12,180 1.58
10  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,478 13d 19:30:47h 5,003 1.63% 11,880 0.42
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.76% 10,412 1.11
12  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.95% 8,932 0.67
13  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.93% 7,910 0.75
14  Russian federation⇜Ṧ†êrvå⇝ elorank 9,417 6d 14:50:02h 4,772 1.55% 6,252 0.76
15  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.51% 5,572 1.93
16  Russian federationубивашка 62 elorank 17,740 6d 10:11:03h 7,701 2.51% 5,238 1.47
17  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.46% 5,052 0.89
18  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,392 3d 19:48:58h 3,717 1.21% 3,839 0.97
19  Russian federationИлья190RUS elorank 12,920 4d 00:32:53h 4,193 1.37% 3,648 1.15
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.39% 3,263 1.31


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) 3 times 15
3 Touch a Hostage 4 times 0
4 Kill a Hostage 18 times -270
5 Rampage (5 kills) 41 times 164
6 Start Defusing the Bomb Without a Defuse Kit 55 times 0
7 Domination (4 kills) 363 times 1,089
8 Defuse the Bomb 449 times 4,490
9 Start Defusing the Bomb With a Defuse Kit 541 times 0
10 Revenge 1,476 times 4,428
11 Triple Kill (3 kills) 2,178 times 4,356
12 Domination 2,791 times 13,955
13 Plant the Bomb 3,591 times 35,910
14 Double Kill (2 kills) 9,225 times 9,225
15 Drop the Bomb 11,182 times -22364
16 Round MVP 14,591 times 0
17 Pick up the Bomb 19,452 times 38,904
18 Headshot 22,943 times 22,943




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,327 times -11635
2 Revenge 1,648 times -4944




  Team Selection *

Rank Team sort-ascending.gif Joined Percentage of Times %
1 Counter-Terrorist 2,151 times 22.18%
2 Terrorist 2,647 times 27.30%




  Weapon Usage *

Rank Weapon Points Modifier Kills Percentage of Kills % Headshots sort-ascending.gif Percentage of Headshots % Hpk
1 H&K G3/SG1 Sniper Rifle 0.80 1 0.00% 0 0.00% 0.00
2 High Explosive Grenade 1.80 2,148 0.70% 0 0.00% 0.00
3 Bundeswehr Advanced Combat Knife 2.00 1,477 0.48% 2 0.00% 0.00
4 H&K UMP45 1.20 27 0.01% 13 0.01% 0.48
5 Benelli/H&K M4 Super 90 XM1014 1.10 43 0.01% 15 0.01% 0.35
6 Fusil Automatique 1.00 42 0.01% 20 0.02% 0.48
7 H&K MP5-Navy 1.20 47 0.02% 20 0.02% 0.43
8 Steyr Tactical Machine Pistol 1.50 49 0.02% 22 0.02% 0.45
9 Ingram MAC-10 1.50 65 0.02% 27 0.02% 0.42
10 FN Five-Seven 1.50 60 0.02% 30 0.03% 0.50
11 Steyr Aug 1.00 66 0.02% 32 0.03% 0.48
12 Glock 18 Select Fire 1.40 81 0.03% 39 0.03% 0.48
13 Galil 1.10 111 0.04% 45 0.04% 0.41
14 H&K USP .45 Tactical 1.40 121 0.04% 65 0.06% 0.54
15 Dual Beretta 96G Elite 1.40 206 0.07% 97 0.09% 0.47
16 Benelli M3 Super 90 Combat 1.20 518 0.17% 226 0.20% 0.44
17 Arctic Warfare Magnum (Police) 1.00 2,021 0.66% 343 0.30% 0.17
18 Sig Sauer SG-552 Commando 1.00 804 0.26% 350 0.31% 0.44
19 Sig Sauer P-228 1.50 1,294 0.42% 555 0.49% 0.43
20 FN P90 1.20 1,656 0.54% 727 0.64% 0.44
21 M249 PARA Light Machine Gun 1.20 2,148 0.70% 1,025 0.90% 0.48
22 Desert Eagle .50AE 1.20 5,897 1.92% 3,369 2.95% 0.57
23 Steyr Scout 1.10 5,407 1.76% 3,393 2.97% 0.63
24 Colt M4A1 Carbine 1.00 10,225 3.33% 4,695 4.12% 0.46
25 Kalashnikov AK-47 1.00 15,066 4.91% 7,848 6.88% 0.52




  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 1,841 219 4,389 13 26 13.0000 11.9% 20.0 70.8
4 Fusil Automatique 1,106 179 5,750 19 40 40.0000 16.2% 32.1 27.7
5 Benelli/H&K M4 Super 90 XM1014 857 546 6,337 15 43 8.6000 63.7% 11.6 19.9
6 H&K MP5-Navy 2,161 476 7,371 19 45 9.0000 22.0% 15.5 48.0
7 Steyr Tactical Machine Pistol 2,938 379 6,594 21 48 48.0000 12.9% 17.4 61.2
8 FN Five-Seven 1,336 332 8,934 31 61 30.5000 24.9% 26.9 21.9
9 Ingram MAC-10 2,336 415 7,429 26 62 62.0000 17.8% 17.9 37.7
10 Steyr Aug 2,573 350 10,581 33 67 8.3750 13.6% 30.2 38.4
11 Glock 18 Select Fire 4,710 749 12,669 38 79 5.2667 15.9% 16.9 59.6
12 Galil 2,908 452 15,227 45 111 55.5000 15.5% 33.7 26.2
13 H&K USP .45 Tactical 4,669 878 17,790 64 120 9.2308 18.8% 20.3 38.9
14 Dual Beretta 96G Elite 5,211 1,026 28,828 97 206 103.0000 19.7% 28.1 25.3
15 Bundeswehr Advanced Combat Knife 9,234 1,036 54,910 2 363 1.6205 11.2% 53.0 25.4
16 Benelli M3 Super 90 Combat 2,475 4,916 70,966 226 518 1.8500 198.6% 14.4 4.8
17 Sig Sauer SG-552 Commando 60,253 4,058 117,534 350 805 35.0000 6.7% 29.0 74.8
18 Sig Sauer P-228 35,004 5,547 169,775 555 1,294 20.8710 15.8% 30.6 27.1
19 FN P90 79,858 9,338 217,912 727 1,656 10.8235 11.7% 23.3 48.2
20 Arctic Warfare Magnum (Police) 8,583 2,928 392,442 343 2,022 4.9197 34.1% 134.0 4.2
21 M249 PARA Light Machine Gun 110,945 8,152 301,051 1,026 2,149 12.8683 7.3% 36.9 51.6
22 Steyr Scout 44,609 13,202 1,240,129 3,386 5,401 2.2608 29.6% 93.9 8.3
23 Desert Eagle .50AE 64,232 16,394 857,433 3,366 5,893 4.1296 25.5% 52.3 10.9
24 Colt M4A1 Carbine 354,470 45,113 1,435,409 4,692 10,222 11.7090 12.7% 31.8 34.7
25 Kalashnikov AK-47 502,420 54,229 2,122,369 7,840 15,055 8.8196 10.8% 39.1 33.4




  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 52 25.0% 69.2% 5.8%
4 Fusil Automatique 179 22.9% 62.6% 14.5%
5 H&K UMP45 219 24.2% 53.9% 21.9%
6 FN Five-Seven 332 23.8% 62.0% 14.2%
7 Steyr Aug 350 27.7% 56.9% 15.4%
8 Steyr Tactical Machine Pistol 379 26.4% 62.5% 11.1%
9 Ingram MAC-10 415 25.8% 61.4% 12.8%
10 Galil 452 27.2% 58.2% 14.6%
11 H&K MP5-Navy 476 27.9% 56.7% 15.3%
12 Benelli/H&K M4 Super 90 XM1014 546 29.5% 52.9% 17.6%
13 Glock 18 Select Fire 749 26.2% 62.5% 11.3%
14 H&K USP .45 Tactical 878 25.7% 61.2% 13.1%
15 Dual Beretta 96G Elite 1,026 24.9% 61.5% 13.6%
16 Arctic Warfare Magnum (Police) 2,928 33.1% 57.0% 10.0%
17 Sig Sauer SG-552 Commando 4,058 29.4% 55.7% 14.8%
18 Benelli M3 Super 90 Combat 4,916 29.8% 57.3% 12.9%
19 Sig Sauer P-228 5,547 28.8% 57.6% 13.7%
20 M249 PARA Light Machine Gun 8,152 28.4% 56.6% 15.1%
21 FN P90 9,338 28.0% 55.9% 16.0%
22 Steyr Scout 13,177 26.6% 64.5% 8.9%
23 Desert Eagle .50AE 16,394 26.2% 61.8% 12.0%
24 Colt M4A1 Carbine 45,113 27.9% 59.0% 13.1%
25 Kalashnikov AK-47 54,229 27.2% 58.8% 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 / 307145 * 100, 2) AS kpercent,
			ROUND(headshots / 114069 * 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