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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.13%
Members: 29 active members (75 total)
Avg. Member Points: 11,655
Total Kills: 348,080
Total Deaths: 299,414
Avg. Kills: 12,003
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 389d 09:37:27h
Avg. Connection Time: 13d 10:15:46h
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 sort-descending.gif Kills Clan Kills % Deaths Kpd
1  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.11% 38,713 1.09
2  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,656 46d 22:33:01h 69,099 19.85% 31,444 2.20
3  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.16% 24,192 1.03
4  Russian federationLoony elorank 9,426 30d 12:35:17h 20,062 5.76% 22,263 0.90
5  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.64% 18,072 0.89
6  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.75% 15,929 1.48
7  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.04% 15,207 1.15
8  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.53% 12,180 1.58
9  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.66% 14,654 0.63
10  Russian federationStanislav752 elorank 10,559 15d 20:09:29h 12,983 3.73% 12,452 1.04
11  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.32% 10,412 1.11
12  Ukrainerimuru elorank 10,538 14d 04:56:12h 13,863 3.98% 13,411 1.03
13  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 11,872 0.42
14  Russian federationBISON elorank 10,173 8d 19:16:25h 5,793 1.66% 8,706 0.67
15  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.70% 7,910 0.75
16  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.10% 5,572 1.93
17  Russian federation⇜Ṧ†êrvå⇝ elorank 9,398 6d 14:27:56h 4,767 1.37% 6,243 0.76
18  Russian federationубивашка 62 elorank 17,388 6d 00:17:29h 7,208 2.07% 4,837 1.49
19  Russian federationavpvovan elorank 9,850 5d 20:54:08h 4,459 1.28% 5,044 0.88
20  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.23% 3,263 1.31


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 12,284 times -24568
2 Kill a Hostage 18 times -270
3 Round MVP 16,548 times 0
4 Start Defusing the Bomb With a Defuse Kit 663 times 0
5 Start Defusing the Bomb Without a Defuse Kit 65 times 0
6 Touch a Hostage 4 times 0
7 Rescue a Hostage 1 times 5
8 Mega Kill (6 kills) 4 times 20
9 Rampage (5 kills) 46 times 184
10 Domination (4 kills) 440 times 1,320
11 Defuse the Bomb 487 times 4,870
12 Revenge 1,628 times 4,884
13 Triple Kill (3 kills) 2,520 times 5,040
14 Double Kill (2 kills) 10,542 times 10,542
15 Domination 3,257 times 16,285
16 Headshot 26,402 times 26,402
17 Pick up the Bomb 22,274 times 44,548
18 Plant the Bomb 4,647 times 46,470




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,622 times -13110
2 Revenge 1,901 times -5703




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 3,078 times 28.08%
2 Counter-Terrorist 2,355 times 21.49%




  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 46 0.01% 22 0.02% 0.48
4 Steyr Tactical Machine Pistol 1.50 56 0.02% 27 0.02% 0.48
5 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
6 Benelli/H&K M4 Super 90 XM1014 1.10 70 0.02% 27 0.02% 0.39
7 Steyr Aug 1.00 72 0.02% 35 0.03% 0.49
8 Ingram MAC-10 1.50 99 0.03% 45 0.03% 0.45
9 Glock 18 Select Fire 1.40 101 0.03% 48 0.04% 0.48
10 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
11 Galil 1.10 118 0.03% 48 0.04% 0.41
12 H&K USP .45 Tactical 1.40 131 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 1.20 622 0.18% 264 0.20% 0.42
15 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
16 Sig Sauer P-228 1.50 1,222 0.35% 519 0.39% 0.42
17 FN P90 1.20 1,543 0.44% 683 0.52% 0.44
18 Bundeswehr Advanced Combat Knife 2.00 1,596 0.46% 2 0.00% 0.00
19 M249 PARA Light Machine Gun 1.20 2,228 0.64% 1,071 0.81% 0.48
20 Arctic Warfare Magnum (Police) 1.00 2,383 0.68% 395 0.30% 0.17
21 High Explosive Grenade 1.80 2,482 0.71% 0 0.00% 0.00
22 Steyr Scout 1.10 5,939 1.71% 3,749 2.84% 0.63
23 Desert Eagle .50AE 1.20 6,463 1.86% 3,614 2.74% 0.56
24 Colt M4A1 Carbine 1.00 11,418 3.28% 5,179 3.92% 0.45
25 Kalashnikov AK-47 1.00 18,596 5.34% 9,448 7.16% 0.51




  Weapon Stats *

Rank Weapon Shots Hits sort-ascending.gif Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
3 Fusil Automatique 1,147 203 6,429 21 44 44.0000 17.7% 31.7 26.1
4 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
5 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
6 Steyr Aug 2,890 394 11,601 36 73 10.4286 13.6% 29.4 39.6
7 Steyr Tactical Machine Pistol 3,305 452 8,063 26 55 55.0000 13.7% 17.8 60.1
8 Galil 3,386 494 16,349 48 118 59.0000 14.6% 33.1 28.7
9 Ingram MAC-10 3,499 654 12,215 44 96 48.0000 18.7% 18.7 36.4
10 Benelli/H&K M4 Super 90 XM1014 1,280 846 10,017 27 70 14.0000 66.1% 11.8 18.3
11 Glock 18 Select Fire 5,192 885 15,299 47 99 6.6000 17.0% 17.3 52.4
12 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
13 H&K USP .45 Tactical 5,170 922 18,935 67 130 10.0000 17.8% 20.5 39.8
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 11,751 1,108 57,296 2 381 1.6784 9.4% 51.7 30.8
16 Arctic Warfare Magnum (Police) 9,922 3,442 462,606 402 2,391 5.0337 34.7% 134.4 4.1
17 Sig Sauer SG-552 Commando 73,875 4,950 143,417 440 977 39.0800 6.7% 29.0 75.6
18 Sig Sauer P-228 33,179 5,139 158,265 519 1,222 22.2182 15.5% 30.8 27.2
19 Benelli M3 Super 90 Combat 2,840 5,714 82,384 264 622 2.1014 201.2% 14.4 4.6
20 M249 PARA Light Machine Gun 115,865 8,608 322,246 1,123 2,286 12.0316 7.4% 37.4 50.7
21 FN P90 76,918 8,788 205,455 683 1,543 10.0850 11.4% 23.4 49.8
22 Steyr Scout 47,628 14,298 1,365,683 3,742 5,932 2.3910 30.0% 95.5 8.0
23 Desert Eagle .50AE 70,526 18,145 943,237 3,648 6,503 4.3324 25.7% 52.0 10.8
24 Colt M4A1 Carbine 392,250 50,391 1,603,947 5,176 11,415 11.2574 12.8% 31.8 34.4
25 Kalashnikov AK-47 569,261 67,519 2,669,441 9,876 19,125 9.3842 11.9% 39.5 29.8




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
3 Bundeswehr Advanced Combat Knife 50 24.0% 68.0% 8.0%
4 Fusil Automatique 203 22.7% 64.0% 13.3%
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 394 27.7% 56.9% 15.5%
8 Steyr Tactical Machine Pistol 452 25.4% 63.3% 11.3%
9 Galil 494 28.9% 55.7% 15.4%
10 Ingram MAC-10 654 26.8% 58.9% 14.4%
11 Benelli/H&K M4 Super 90 XM1014 846 26.5% 57.1% 16.4%
12 Glock 18 Select Fire 885 26.7% 61.8% 11.5%
13 H&K MP5-Navy 900 28.4% 56.8% 14.8%
14 H&K USP .45 Tactical 922 24.7% 62.3% 13.0%
15 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
16 Arctic Warfare Magnum (Police) 3,442 32.5% 57.6% 9.9%
17 Sig Sauer SG-552 Commando 4,950 28.8% 55.9% 15.3%
18 Sig Sauer P-228 5,139 28.7% 57.6% 13.6%
19 Benelli M3 Super 90 Combat 5,714 29.6% 57.6% 12.8%
20 M249 PARA Light Machine Gun 8,608 28.4% 56.9% 14.7%
21 FN P90 8,788 27.9% 56.3% 15.7%
22 Steyr Scout 14,273 26.4% 64.9% 8.7%
23 Desert Eagle .50AE 18,145 26.2% 61.6% 12.1%
24 Colt M4A1 Carbine 50,391 27.8% 59.2% 13.0%
25 Kalashnikov AK-47 67,519 27.0% 59.1% 13.8%


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 / 348080 * 100, 2) AS kpercent,
			ROUND(headshots / 131969 * 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