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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 80.86%
Members: 23 active members (75 total)
Avg. Member Points: 11,766
Total Kills: 279,190
Total Deaths: 241,916
Avg. Kills: 12,139
Kills per Death: 1.15
Kills per Minute: 0.62
Total Connection Time: 310d 14:44:16h
Avg. Connection Time: 13d 12:07:08h
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-ascending.gif Kpd
21  Russian federationdoc76 elorank 18,822 38d 01:59:10h 24,921 8.93% 24,192 1.03
22  Russian federation⋙-☭3,14✖@ЉI4-►㋛™ elorank 33,656 47d 03:16:23h 69,392 24.85% 31,584 2.20
23  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 15.10% 38,713 1.09


Page: 1 2




  Player Actions *

Rank Action Achieved sort-ascending.gif Points Bonus
1 Rampage (5 kills) 14 times 56
2 Start Defusing the Bomb Without a Defuse Kit 23 times 0
3 Domination (4 kills) 181 times 543
4 Defuse the Bomb 247 times 2,470
5 Start Defusing the Bomb With a Defuse Kit 294 times 0
6 Revenge 812 times 2,436
7 Triple Kill (3 kills) 1,116 times 2,232
8 Domination 1,526 times 7,630
9 Plant the Bomb 1,909 times 19,090
10 Double Kill (2 kills) 5,178 times 5,178
11 Drop the Bomb 6,998 times -13996
12 Round MVP 8,841 times 0
13 Pick up the Bomb 11,788 times 23,576
14 Headshot 13,095 times 13,095




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 1,220 times -6100
2 Revenge 954 times -2862




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 1,531 times 27.58%
2 Counter-Terrorist 1,165 times 20.98%




  Weapon Usage *

Rank Weapon sort-descending.gif Points Modifier Kills Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
2 H&K USP .45 Tactical 1.40 52 0.02% 27 0.03% 0.52
3 H&K UMP45 1.20 4 0.00% 2 0.00% 0.50
4 Steyr Tactical Machine Pistol 1.50 24 0.01% 9 0.01% 0.38
5 Sig Sauer SG-552 Commando 1.00 67 0.02% 32 0.03% 0.48
6 Steyr Scout 1.10 3,620 1.30% 2,278 2.28% 0.63
7 FN P90 1.20 1,011 0.36% 442 0.44% 0.44
8 Sig Sauer P-228 1.50 746 0.27% 340 0.34% 0.46
9 H&K MP5-Navy 1.20 13 0.00% 5 0.01% 0.38
10 Ingram MAC-10 1.50 14 0.01% 6 0.01% 0.43
11 Colt M4A1 Carbine 1.00 5,772 2.07% 2,640 2.64% 0.46
12 Benelli M3 Super 90 Combat 1.20 280 0.10% 126 0.13% 0.45
13 M249 PARA Light Machine Gun 1.20 1,226 0.44% 594 0.60% 0.48
14 Bundeswehr Advanced Combat Knife 2.00 832 0.30% 0 0.00% 0.00
15 High Explosive Grenade 1.80 1,274 0.46% 0 0.00% 0.00
16 Glock 18 Select Fire 1.40 29 0.01% 20 0.02% 0.69
17 Galil 1.10 81 0.03% 35 0.04% 0.43
18 FN Five-Seven 1.50 38 0.01% 16 0.02% 0.42
19 Fusil Automatique 1.00 28 0.01% 12 0.01% 0.43
20 Dual Beretta 96G Elite 1.40 118 0.04% 54 0.05% 0.46
21 Desert Eagle .50AE 1.20 3,531 1.26% 2,043 2.05% 0.58
22 Arctic Warfare Magnum (Police) 1.00 886 0.32% 169 0.17% 0.19
23 Steyr Aug 1.00 20 0.01% 10 0.01% 0.50
24 Kalashnikov AK-47 1.00 7,831 2.80% 4,228 4.24% 0.54




  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-47 347,821 29,442 1,125,527 4,230 7,833 9.2045 8.5% 38.2 44.4
2 Colt M4A1 Carbine 186,219 24,975 802,148 2,641 5,776 13.4639 13.4% 32.1 32.2
3 Steyr Scout 30,281 8,767 818,547 2,278 3,622 2.0780 29.0% 93.4 8.4
4 Desert Eagle .50AE 39,215 9,755 511,824 2,041 3,530 3.8495 24.9% 52.5 11.1
5 M249 PARA Light Machine Gun 55,293 4,544 171,558 594 1,226 16.7945 8.2% 37.8 45.1
6 FN P90 37,134 5,544 130,847 442 1,011 17.4310 14.9% 23.6 36.7
7 Arctic Warfare Magnum (Police) 3,611 1,225 171,549 169 886 5.2738 33.9% 140.0 4.1
8 Sig Sauer P-228 19,351 3,101 95,131 340 746 24.8667 16.0% 30.7 25.9
9 Benelli M3 Super 90 Combat 1,400 2,736 39,240 126 280 1.7284 195.4% 14.3 5.0
10 Bundeswehr Advanced Combat Knife 4,680 591 32,079 0 206 1.3919 12.6% 54.3 22.7
11 Dual Beretta 96G Elite 2,971 580 15,840 54 117 117.0000 19.5% 27.3 25.4
12 Galil 1,894 322 11,368 35 81 81.0000 17.0% 35.3 23.4
13 Sig Sauer SG-552 Commando 1,721 345 10,115 32 68 68.0000 20.0% 29.3 25.3
14 H&K USP .45 Tactical 2,312 381 7,265 27 52 52.0000 16.5% 19.1 44.5
15 FN Five-Seven 792 208 5,460 17 39 39.0000 26.3% 26.3 20.3
16 Glock 18 Select Fire 2,304 294 5,303 20 29 29.0000 12.8% 18.0 79.4
17 Fusil Automatique 627 116 3,670 12 28 28.0000 18.5% 31.6 22.4
18 Steyr Tactical Machine Pistol 1,372 188 3,139 9 24 24.0000 13.7% 16.7 57.2
19 Steyr Aug 580 112 3,617 11 22 7.3333 19.3% 32.3 26.4
20 Ingram MAC-10 618 107 2,071 6 14 14.0000 17.3% 19.4 44.1
21 H&K MP5-Navy 571 110 1,792 5 13 13.0000 19.3% 16.3 43.9
22 Benelli/H&K M4 Super 90 XM1014 106 100 1,122 2 6 6.0000 94.3% 11.2 17.7
23 H&K UMP45 231 36 676 2 4 4.0000 15.6% 18.8 57.8
24 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 29,442 27.8% 58.0% 14.3%
2 Colt M4A1 Carbine 24,975 27.9% 59.1% 13.0%
3 Desert Eagle .50AE 9,755 26.5% 61.8% 11.7%
4 Steyr Scout 8,742 26.9% 64.0% 9.0%
5 FN P90 5,544 27.3% 56.4% 16.3%
6 M249 PARA Light Machine Gun 4,544 28.4% 56.3% 15.3%
7 Sig Sauer P-228 3,101 27.8% 58.7% 13.5%
8 Benelli M3 Super 90 Combat 2,736 28.8% 59.1% 12.1%
9 Arctic Warfare Magnum (Police) 1,225 31.0% 58.4% 10.6%
10 Dual Beretta 96G Elite 580 25.0% 63.8% 11.2%
11 H&K USP .45 Tactical 381 25.5% 61.2% 13.4%
12 Sig Sauer SG-552 Commando 345 30.4% 53.9% 15.7%
13 Galil 322 24.8% 61.8% 13.4%
14 Glock 18 Select Fire 294 25.9% 64.3% 9.9%
15 FN Five-Seven 208 21.6% 63.9% 14.4%
16 Steyr Tactical Machine Pistol 188 21.8% 65.4% 12.8%
17 Fusil Automatique 116 24.1% 63.8% 12.1%
18 Steyr Aug 112 32.1% 59.8% 8.0%
19 H&K MP5-Navy 110 30.0% 57.3% 12.7%
20 Ingram MAC-10 107 25.2% 57.0% 17.8%
21 Benelli/H&K M4 Super 90 XM1014 100 28.0% 61.0% 11.0%
22 H&K UMP45 36 36.1% 47.2% 16.7%
23 Bundeswehr Advanced Combat Knife 29 34.5% 58.6% 6.9%
24 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 / 279190 * 100, 2) AS kpercent,
			ROUND(headshots / 99814 * 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