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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 73.86%
Members: 29 active members (75 total)
Avg. Member Points: 11,654
Total Kills: 347,998
Total Deaths: 299,315
Avg. Kills: 12,000
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 389d 06:14:06h
Avg. Connection Time: 13d 10:08:45h
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 19.86% 31,444 2.20
2  Russian federationKAZANTIP elorank 13,115 50d 00:51:06h 42,157 12.11% 38,713 1.09
3  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.53% 12,180 1.58
4  Russian federationубивашка 62 elorank 10,447 22d 05:26:20h 23,507 6.75% 15,929 1.48
5  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 5.04% 15,207 1.15
6  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 7.16% 24,192 1.03
7  Russian federationLoony elorank 9,426 30d 12:35:17h 20,062 5.76% 22,263 0.90
8  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.64% 18,072 0.89
9  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.32% 10,412 1.11
10  Russian federationStanislav752 elorank 10,696 15d 18:29:36h 12,970 3.73% 12,398 1.05
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 3.10% 5,572 1.93
13  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.66% 14,654 0.63
14  Russian federationубивашка 62 elorank 17,208 5d 23:39:10h 7,170 2.06% 4,825 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 10,189 8d 18:11:16h 5,762 1.66% 8,673 0.66
18  Kazakhstan₭Ø฿Ɽ₳ 10₭Ⱬ elorank 5,483 13d 19:17:20h 4,999 1.44% 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 12,777 3d 20:42:14h 4,029 1.16% 3,507 1.15


Page: 1 2




  Player Actions *

Rank Action Achieved sort-descending.gif Points Bonus
1 Headshot 26,703 times 26,703
2 Pick up the Bomb 22,554 times 45,108
3 Round MVP 16,762 times 0
4 Drop the Bomb 12,390 times -24780
5 Double Kill (2 kills) 10,661 times 10,661
6 Plant the Bomb 4,737 times 47,370
7 Domination 3,307 times 16,535
8 Triple Kill (3 kills) 2,558 times 5,116
9 Revenge 1,648 times 4,944
10 Start Defusing the Bomb With a Defuse Kit 665 times 0
11 Defuse the Bomb 487 times 4,870
12 Domination (4 kills) 448 times 1,344
13 Start Defusing the Bomb Without a Defuse Kit 64 times 0
14 Rampage (5 kills) 47 times 188
15 Kill a Hostage 18 times -270
16 Touch a Hostage 4 times 0
17 Mega Kill (6 kills) 4 times 20
18 Rescue a Hostage 1 times 5




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,645 times -13225
2 Revenge 1,937 times -5811




  Team Selection *

Rank Team sort-descending.gif Joined Percentage of Times %
1 Terrorist 3,100 times 28.09%
2 Counter-Terrorist 2,367 times 21.45%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,912 5.43% 9,586 7.27% 0.51
2 Colt M4A1 Carbine 1.00 11,497 3.30% 5,215 3.95% 0.45
3 Desert Eagle .50AE 1.20 6,522 1.87% 3,643 2.76% 0.56
4 Steyr Scout 1.10 6,020 1.73% 3,803 2.88% 0.63
5 High Explosive Grenade 1.80 2,508 0.72% 0 0.00% 0.00
6 Arctic Warfare Magnum (Police) 1.00 2,393 0.69% 397 0.30% 0.17
7 M249 PARA Light Machine Gun 1.20 2,227 0.64% 1,074 0.81% 0.48
8 Bundeswehr Advanced Combat Knife 2.00 1,607 0.46% 2 0.00% 0.00
9 FN P90 1.20 1,560 0.45% 694 0.53% 0.44
10 Sig Sauer P-228 1.50 1,227 0.35% 522 0.40% 0.43
11 Sig Sauer SG-552 Commando 1.00 961 0.28% 427 0.32% 0.44
12 Benelli M3 Super 90 Combat 1.20 642 0.18% 269 0.20% 0.42
13 Dual Beretta 96G Elite 1.40 221 0.06% 102 0.08% 0.46
14 H&K USP .45 Tactical 1.40 131 0.04% 68 0.05% 0.52
15 Galil 1.10 120 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 113 0.03% 54 0.04% 0.48
17 H&K MP5-Navy 1.20 105 0.03% 46 0.03% 0.44
18 Glock 18 Select Fire 1.40 105 0.03% 51 0.04% 0.49
19 Benelli/H&K M4 Super 90 XM1014 1.10 75 0.02% 28 0.02% 0.37
20 Steyr Aug 1.00 73 0.02% 36 0.03% 0.49
21 FN Five-Seven 1.50 63 0.02% 32 0.02% 0.51
22 Steyr Tactical Machine Pistol 1.50 61 0.02% 30 0.02% 0.49
23 Fusil Automatique 1.00 48 0.01% 23 0.02% 0.48
24 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
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 Kills per Death Accuracy Damage per Hit sort-descending.gif Shots per Kill
1 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
2 Arctic Warfare Magnum (Police) 9,976 3,458 464,968 404 2,401 5.0335 34.7% 134.5 4.2
3 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
4 Steyr Scout 48,058 14,478 1,385,912 3,796 6,014 2.4085 30.1% 95.7 8.0
5 Desert Eagle .50AE 71,057 18,332 952,646 3,677 6,562 4.3285 25.8% 52.0 10.8
6 Bundeswehr Advanced Combat Knife 11,817 1,119 57,763 2 384 1.6842 9.5% 51.6 30.8
7 Kalashnikov AK-47 572,318 68,591 2,712,424 10,014 19,441 9.4191 12.0% 39.5 29.4
8 M249 PARA Light Machine Gun 116,058 8,604 322,328 1,126 2,285 12.0263 7.4% 37.5 50.8
9 Galil 3,416 500 16,691 50 120 60.0000 14.6% 33.4 28.5
10 Colt M4A1 Carbine 396,014 50,736 1,615,068 5,212 11,494 11.2356 12.8% 31.8 34.5
11 Fusil Automatique 1,188 214 6,712 22 46 46.0000 18.0% 31.4 25.8
12 Sig Sauer P-228 33,275 5,154 158,748 522 1,227 22.3091 15.5% 30.8 27.1
13 Steyr Aug 2,907 396 11,724 37 74 10.5714 13.6% 29.6 39.3
14 Sig Sauer SG-552 Commando 73,927 4,954 143,487 440 977 37.5769 6.7% 29.0 75.7
15 Dual Beretta 96G Elite 5,596 1,099 30,532 102 221 73.6667 19.6% 27.8 25.3
16 FN Five-Seven 1,406 344 9,281 33 64 32.0000 24.5% 27.0 22.0
17 FN P90 77,012 8,821 206,950 694 1,560 10.1961 11.5% 23.5 49.4
18 H&K USP .45 Tactical 5,138 922 18,930 67 130 10.0000 17.9% 20.5 39.5
19 H&K UMP45 2,080 269 5,346 16 33 16.5000 12.9% 19.9 63.0
20 Ingram MAC-10 4,819 813 14,680 53 110 27.5000 16.9% 18.1 43.8
21 Steyr Tactical Machine Pistol 4,096 508 9,055 29 60 60.0000 12.4% 17.8 68.3
22 Glock 18 Select Fire 5,189 897 15,777 50 103 6.8667 17.3% 17.6 50.4
23 H&K MP5-Navy 4,929 900 15,098 45 103 11.4444 18.3% 16.8 47.9
24 Benelli M3 Super 90 Combat 2,903 5,854 84,354 269 642 2.1544 201.7% 14.4 4.5
25 Benelli/H&K M4 Super 90 XM1014 1,344 924 10,916 28 75 15.0000 68.8% 11.8 17.9




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 68,591 27.1% 59.1% 13.8%
2 Colt M4A1 Carbine 50,736 27.8% 59.2% 13.0%
3 Desert Eagle .50AE 18,332 26.2% 61.6% 12.2%
4 Steyr Scout 14,453 26.4% 65.0% 8.7%
5 FN P90 8,821 27.9% 56.5% 15.6%
6 M249 PARA Light Machine Gun 8,604 28.4% 57.0% 14.7%
7 Benelli M3 Super 90 Combat 5,854 29.6% 57.3% 13.0%
8 Sig Sauer P-228 5,154 28.7% 57.7% 13.6%
9 Sig Sauer SG-552 Commando 4,954 28.8% 55.9% 15.3%
10 Arctic Warfare Magnum (Police) 3,458 32.5% 57.6% 9.9%
11 Dual Beretta 96G Elite 1,099 25.1% 61.2% 13.6%
12 Benelli/H&K M4 Super 90 XM1014 924 26.6% 56.9% 16.5%
13 H&K USP .45 Tactical 922 24.7% 62.4% 12.9%
14 H&K MP5-Navy 900 28.4% 56.8% 14.8%
15 Glock 18 Select Fire 897 26.4% 62.2% 11.4%
16 Ingram MAC-10 813 26.6% 58.1% 15.4%
17 Steyr Tactical Machine Pistol 508 26.0% 63.0% 11.0%
18 Galil 500 28.8% 55.6% 15.6%
19 Steyr Aug 396 27.5% 56.8% 15.7%
20 FN Five-Seven 344 23.3% 62.5% 14.2%
21 H&K UMP45 269 26.4% 53.5% 20.1%
22 Fusil Automatique 214 22.0% 63.6% 14.5%
23 Bundeswehr Advanced Combat Knife 50 24.0% 68.0% 8.0%
24 H&K G3/SG1 Sniper Rifle 10 20.0% 80.0% 0.0%
25 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 / 347998 * 100, 2) AS kpercent,
			ROUND(headshots / 131941 * 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