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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.57%
Members: 28 active members (75 total)
Avg. Member Points: 11,749
Total Kills: 327,252
Total Deaths: 286,246
Avg. Kills: 11,688
Kills per Death: 1.14
Kills per Minute: 0.61
Total Connection Time: 370d 03:34:51h
Avg. Connection Time: 13d 05:16:14h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name Rank Points sort-descending.gif Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,577 47d 00:25:35h 69,203 21.15% 31,506 2.20
2  Israel«★»GℛΣﮒℍ₦iK«★» elorank 19,346 7d 17:10:25h 10,776 3.29% 5,572 1.93
3  Russian federationdoc76 elorank 18,822 38d 01:47:03h 24,921 7.62% 24,192 1.03
4  Russian federationубивашка 62 elorank 17,740 6d 10:11:03h 7,701 2.35% 5,238 1.47
5  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.53% 10,412 1.11
6  Russian federationDIM4IK elorank 14,639 16d 11:27:37h 19,248 5.88% 12,180 1.58
7  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.88% 38,713 1.09
8  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.31% 3,263 1.31
9  Russian federationИлья190RUS elorank 12,920 4d 00:32:53h 4,193 1.28% 3,648 1.15
10  PolandПопугайчик Тоша elorank 12,655 2d 02:06:13h 3,109 0.95% 1,465 2.12
11  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.36% 15,207 1.15
12  Russian federationBISON elorank 11,011 9d 00:46:12h 5,995 1.83% 8,932 0.67
13  Russian federationShalfeYka elorank 10,843 2d 18:14:08h 2,443 0.75% 2,461 0.99
14  Ukrainerimuru elorank 10,745 14d 05:48:51h 13,910 4.25% 13,456 1.03
15  Germany«★»Andy«★» elorank 10,521 2d 20:55:52h 2,916 0.89% 2,272 1.28
16  Russian federationSlovoPetuxa!-Zerno na osvalte=) elorank 10,381 3d 19:26:39h 3,703 1.13% 3,823 0.97
17  Russian federationavpvovan elorank 9,968 5d 21:09:37h 4,479 1.37% 5,052 0.89
18  Russian federationStanislav752 elorank 9,598 16d 20:38:32h 13,707 4.19% 13,379 1.02
19  Russian federationLoony elorank 9,434 30d 16:59:55h 20,162 6.16% 22,413 0.90
20  Russian federation⇜Ṧ†êrvå⇝ elorank 9,417 6d 14:50:02h 4,772 1.46% 6,252 0.76


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Pick up the Bomb 19,622 times 39,244
2 Plant the Bomb 3,660 times 36,600
3 Headshot 23,175 times 23,175
4 Domination 2,823 times 14,115
5 Double Kill (2 kills) 9,320 times 9,320
6 Defuse the Bomb 450 times 4,500
7 Revenge 1,485 times 4,455
8 Triple Kill (3 kills) 2,207 times 4,414
9 Domination (4 kills) 365 times 1,095
10 Rampage (5 kills) 41 times 164
11 Mega Kill (6 kills) 3 times 15
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 55 times 0
15 Start Defusing the Bomb With a Defuse Kit 543 times 0
16 Round MVP 14,726 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 11,243 times -22486




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,347 times -11735
2 Revenge 1,663 times -4989




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 2,687 times 27.33%
2 Counter-Terrorist 2,180 times 22.17%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 15,350 4.69% 7,974 6.55% 0.52
2 Colt M4A1 Carbine 1.00 10,301 3.15% 4,732 3.88% 0.46
3 Desert Eagle .50AE 1.20 5,918 1.81% 3,377 2.77% 0.57
4 Steyr Scout 1.10 5,444 1.66% 3,416 2.80% 0.63
5 M249 PARA Light Machine Gun 1.20 2,171 0.66% 1,036 0.85% 0.48
6 High Explosive Grenade 1.80 2,162 0.66% 0 0.00% 0.00
7 Arctic Warfare Magnum (Police) 1.00 2,032 0.62% 345 0.28% 0.17
8 FN P90 1.20 1,661 0.51% 730 0.60% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,488 0.45% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,295 0.40% 555 0.46% 0.43
11 Sig Sauer SG-552 Commando 1.00 842 0.26% 368 0.30% 0.44
12 Benelli M3 Super 90 Combat 1.20 523 0.16% 227 0.19% 0.43
13 Dual Beretta 96G Elite 1.40 207 0.06% 98 0.08% 0.47
14 H&K USP .45 Tactical 1.40 121 0.04% 65 0.05% 0.54
15 Galil 1.10 111 0.03% 45 0.04% 0.41
16 Glock 18 Select Fire 1.40 81 0.02% 39 0.03% 0.48
17 Steyr Aug 1.00 66 0.02% 32 0.03% 0.48
18 Ingram MAC-10 1.50 65 0.02% 27 0.02% 0.42
19 FN Five-Seven 1.50 60 0.02% 30 0.02% 0.50
20 Steyr Tactical Machine Pistol 1.50 49 0.01% 22 0.02% 0.45
21 Benelli/H&K M4 Super 90 XM1014 1.10 48 0.01% 17 0.01% 0.35
22 H&K MP5-Navy 1.20 47 0.01% 20 0.02% 0.43
23 Fusil Automatique 1.00 42 0.01% 20 0.02% 0.48
24 H&K UMP45 1.20 27 0.01% 13 0.01% 0.48
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-47 503,705 55,082 2,159,415 7,966 15,339 8.9180 10.9% 39.2 32.8
2 Colt M4A1 Carbine 357,480 45,408 1,445,142 4,729 10,298 11.7289 12.7% 31.8 34.7
3 Desert Eagle .50AE 64,590 16,473 860,812 3,374 5,914 4.1241 25.5% 52.3 10.9
4 Steyr Scout 44,879 13,287 1,248,322 3,409 5,438 2.2630 29.6% 94.0 8.3
5 M249 PARA Light Machine Gun 112,091 8,231 304,231 1,037 2,172 13.0060 7.3% 37.0 51.6
6 Arctic Warfare Magnum (Police) 8,609 2,942 394,728 345 2,033 4.9345 34.2% 134.2 4.2
7 FN P90 80,182 9,374 218,864 730 1,661 10.8562 11.7% 23.3 48.3
8 Sig Sauer P-228 34,981 5,548 169,837 555 1,295 20.8871 15.9% 30.6 27.0
9 Sig Sauer SG-552 Commando 62,799 4,227 122,043 368 843 36.6522 6.7% 28.9 74.5
10 Benelli M3 Super 90 Combat 2,505 4,961 71,490 227 523 1.8481 198.0% 14.4 4.8
11 Bundeswehr Advanced Combat Knife 9,363 1,041 55,022 2 364 1.6178 11.1% 52.9 25.7
12 Dual Beretta 96G Elite 5,231 1,029 28,952 98 207 69.0000 19.7% 28.1 25.3
13 H&K USP .45 Tactical 4,677 878 17,790 64 120 9.2308 18.8% 20.3 39.0
14 Galil 2,898 449 15,158 45 111 55.5000 15.5% 33.8 26.1
15 Glock 18 Select Fire 4,742 751 12,693 38 79 5.2667 15.8% 16.9 60.0
16 Steyr Aug 2,573 350 10,581 33 67 8.3750 13.6% 30.2 38.4
17 Ingram MAC-10 2,336 415 7,429 26 62 62.0000 17.8% 17.9 37.7
18 FN Five-Seven 1,340 333 8,950 31 61 30.5000 24.9% 26.9 22.0
19 Benelli/H&K M4 Super 90 XM1014 979 597 7,059 17 48 9.6000 61.0% 11.8 20.4
20 Steyr Tactical Machine Pistol 2,938 379 6,594 21 48 48.0000 12.9% 17.4 61.2
21 H&K MP5-Navy 2,161 476 7,371 19 45 9.0000 22.0% 15.5 48.0
22 Fusil Automatique 1,106 179 5,750 19 40 40.0000 16.2% 32.1 27.7
23 H&K UMP45 1,841 219 4,389 13 26 13.0000 11.9% 20.0 70.8
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 H&K G3/SG1 Sniper Rifle 13 2 137 0 1 1.0000 15.4% 68.5 13.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 55,082 27.2% 58.8% 14.0%
2 Colt M4A1 Carbine 45,408 27.9% 59.0% 13.1%
3 Desert Eagle .50AE 16,473 26.3% 61.7% 12.0%
4 Steyr Scout 13,262 26.6% 64.6% 8.8%
5 FN P90 9,374 28.0% 56.0% 16.0%
6 M249 PARA Light Machine Gun 8,231 28.4% 56.6% 15.1%
7 Sig Sauer P-228 5,548 28.8% 57.6% 13.7%
8 Benelli M3 Super 90 Combat 4,961 29.9% 57.1% 13.0%
9 Sig Sauer SG-552 Commando 4,227 29.3% 55.6% 15.1%
10 Arctic Warfare Magnum (Police) 2,942 33.0% 57.0% 10.0%
11 Dual Beretta 96G Elite 1,029 24.8% 61.6% 13.6%
12 H&K USP .45 Tactical 878 25.7% 61.2% 13.1%
13 Glock 18 Select Fire 751 26.1% 62.5% 11.5%
14 Benelli/H&K M4 Super 90 XM1014 597 29.1% 52.9% 17.9%
15 H&K MP5-Navy 476 27.9% 56.7% 15.3%
16 Galil 449 27.4% 58.1% 14.5%
17 Ingram MAC-10 415 25.8% 61.4% 12.8%
18 Steyr Tactical Machine Pistol 379 26.4% 62.5% 11.1%
19 Steyr Aug 350 27.7% 56.9% 15.4%
20 FN Five-Seven 333 23.7% 61.9% 14.4%
21 H&K UMP45 219 24.2% 53.9% 21.9%
22 Fusil Automatique 179 22.9% 62.6% 14.5%
23 Bundeswehr Advanced Combat Knife 50 22.0% 72.0% 6.0%
24 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
25 H&K G3/SG1 Sniper Rifle 2 100.0% 0.0% 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 / 327252 * 100, 2) AS kpercent,
			ROUND(headshots / 121815 * 100, 2) AS hpercent
		FROM
			tmp_clan_kills, tmp_clan_deaths
		WHERE
			tmp_clan_kills.map = tmp_clan_deaths.map
		ORDER BY
			map asc,
			kills asc