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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 74.64%
Members: 31 active members (73 total)
Avg. Member Points: 11,218
Total Kills: 356,547
Total Deaths: 306,547
Avg. Kills: 11,502
Kills per Death: 1.16
Kills per Minute: 0.62
Total Connection Time: 397d 15:59:42h
Avg. Connection Time: 12d 19:52:14h
Favorite Server:* ~TAMBOFF-WOLF [NIGHT VIP] PUBLIC NOSTEAM~
Favorite Map:* de_dust2
Favorite Weapon:* Kalashnikov AK-47
Player Locations

  Members

Rank Name sort-ascending.gif Rank Points Activity Time Kills Clan Kills % Deaths Kpd
1  Russian federation!? elorank 5,148 0d 08:24:38h 351 0.10% 345 1.02
2  Russian federation-=(ROMBIK)=-=(DDR)=- elorank 7,763 4d 20:28:50h 5,225 1.47% 4,319 1.21
3  Russian federation-=ΞDDDEMOΞ=- [77RUS] elorank 4,186 16d 07:37:33h 9,248 2.59% 14,654 0.63
4  Russian federationAnapskiy elorank 11,935 19d 05:13:30h 17,550 4.92% 15,207 1.15
5  Russian federationBISON elorank 9,885 8d 02:54:59h 5,337 1.50% 8,042 0.66
6  Russian federationDiM4iK elorank 14,639 16d 11:27:36h 19,248 5.40% 12,180 1.58
7  UkraineDo1zzy elorank 16,540 8d 07:06:48h 8,372 2.35% 6,594 1.27
8  Russian federationKAZANTIP elorank 13,013 50d 00:05:11h 42,123 11.81% 38,689 1.09
9  Russian federationKenzO elorank 5,731 8d 18:32:44h 5,913 1.66% 7,910 0.75
10  Russian federationLoony elorank 9,420 30d 07:20:54h 19,937 5.59% 22,106 0.90
11  Russian federationOrel57RUSVOVAN elorank 13,050 5d 02:04:46h 4,277 1.20% 3,263 1.31
12  KazakhstanRastaman 10KZ elorank 9,158 22d 06:38:27h 16,151 4.53% 18,072 0.89
13  Russian federationSTRELOK elorank 14,649 15d 08:36:59h 11,558 3.24% 10,412 1.11
14  Russian federationShalfeYka elorank 9,929 2d 00:54:08h 1,783 0.50% 1,789 1.00
15  Russian federationSlovoPetuxa!-KashtanomPoOsvaltu elorank 9,963 3d 12:02:46h 3,320 0.93% 3,500 0.95
16  Russian federationSprut elorank 9,306 2d 04:35:36h 1,743 0.49% 2,249 0.78
17  Russian federationStanislav752 elorank 10,885 15d 14:47:50h 12,949 3.63% 12,310 1.05
18  Russian federationavpvovan elorank 9,833 5d 20:41:14h 4,453 1.25% 5,036 0.88
19  Russian federationdoc76 elorank 18,822 38d 01:42:25h 24,921 6.99% 24,192 1.03
20  Russian federationfeewt elorank 7,471 0d 20:44:05h 1,066 0.30% 775 1.38


Page: 1 2




  Player Actions *

Rank Action Achieved Points Bonus sort-descending.gif
1 Plant the Bomb 4,452 times 44,520
2 Pick up the Bomb 21,735 times 43,470
3 Headshot 23,590 times 23,590
4 Domination 2,912 times 14,560
5 Double Kill (2 kills) 9,441 times 9,441
6 Revenge 1,547 times 4,641
7 Triple Kill (3 kills) 2,250 times 4,500
8 Defuse the Bomb 392 times 3,920
9 Domination (4 kills) 393 times 1,179
10 Rampage (5 kills) 43 times 172
11 Mega Kill (6 kills) 2 times 10
12 Rescue a Hostage 1 times 5
13 Touch a Hostage 4 times 0
14 Start Defusing the Bomb Without a Defuse Kit 49 times 0
15 Start Defusing the Bomb With a Defuse Kit 590 times 0
16 Round MVP 14,988 times 0
17 Kill a Hostage 18 times -270
18 Drop the Bomb 12,201 times -24402




  Victims of Player-Player Actions *

Rank Action Times Victimized sort-descending.gif Points Bonus
1 Domination 2,499 times -12495
2 Revenge 1,696 times -5088




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 2,958 times 28.94%
2 Counter-Terrorist 2,060 times 20.16%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 18,308 5.13% 9,190 6.74% 0.50
2 Colt M4A1 Carbine 1.00 9,751 2.73% 4,296 3.15% 0.44
3 Desert Eagle .50AE 1.20 5,128 1.44% 2,774 2.03% 0.54
4 Steyr Scout 1.10 5,049 1.42% 3,049 2.24% 0.60
5 Arctic Warfare Magnum (Police) 1.00 2,135 0.60% 328 0.24% 0.15
6 M249 PARA Light Machine Gun 1.20 2,081 0.58% 1,021 0.75% 0.49
7 High Explosive Grenade 1.80 1,987 0.56% 0 0.00% 0.00
8 FN P90 1.20 1,499 0.42% 662 0.49% 0.44
9 Bundeswehr Advanced Combat Knife 2.00 1,423 0.40% 2 0.00% 0.00
10 Sig Sauer P-228 1.50 1,268 0.36% 535 0.39% 0.42
11 Sig Sauer SG-552 Commando 1.00 959 0.27% 430 0.32% 0.45
12 Benelli M3 Super 90 Combat 1.20 603 0.17% 251 0.18% 0.42
13 Dual Beretta 96G Elite 1.40 220 0.06% 101 0.07% 0.46
14 H&K USP .45 Tactical 1.40 128 0.04% 65 0.05% 0.51
15 Galil 1.10 119 0.03% 50 0.04% 0.42
16 Ingram MAC-10 1.50 118 0.03% 59 0.04% 0.50
17 Glock 18 Select Fire 1.40 103 0.03% 50 0.04% 0.49
18 H&K MP5-Navy 1.20 100 0.03% 42 0.03% 0.42
19 Benelli/H&K M4 Super 90 XM1014 1.10 74 0.02% 27 0.02% 0.36
20 Steyr Aug 1.00 64 0.02% 31 0.02% 0.48
21 FN Five-Seven 1.50 57 0.02% 28 0.02% 0.49
22 Steyr Tactical Machine Pistol 1.50 50 0.01% 27 0.02% 0.54
23 H&K UMP45 1.20 34 0.01% 16 0.01% 0.47
24 Fusil Automatique 1.00 23 0.01% 9 0.01% 0.39
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 sort-descending.gif Accuracy Damage per Hit Shots per Kill
1 Dual Beretta 96G Elite 5,582 1,104 30,397 101 220 73.3333 19.8% 27.5 25.4
2 Galil 3,338 494 16,512 50 119 59.5000 14.8% 33.4 28.1
3 Steyr Tactical Machine Pistol 2,992 422 7,507 26 49 49.0000 14.1% 17.8 61.1
4 Sig Sauer SG-552 Commando 74,125 4,940 142,960 443 975 42.3913 6.7% 28.9 76.0
5 FN Five-Seven 1,214 319 8,515 29 58 29.0000 26.3% 26.7 20.9
6 Ingram MAC-10 4,908 826 15,160 58 115 28.7500 16.8% 18.4 42.7
7 Sig Sauer P-228 34,059 5,259 162,467 535 1,268 23.9245 15.4% 30.9 26.9
8 Fusil Automatique 670 115 3,484 8 21 21.0000 17.2% 30.3 31.9
9 H&K UMP45 2,034 267 5,399 16 33 16.5000 13.1% 20.2 61.6
10 Steyr Aug 2,534 341 10,211 32 65 16.2500 13.5% 29.9 39.0
11 Benelli/H&K M4 Super 90 XM1014 1,324 917 10,783 27 74 14.8000 69.3% 11.8 17.9
12 M249 PARA Light Machine Gun 109,221 7,994 303,330 1,073 2,139 12.9636 7.3% 37.9 51.1
13 H&K MP5-Navy 4,722 855 14,170 41 98 10.8889 18.1% 16.6 48.2
14 Colt M4A1 Carbine 373,151 43,870 1,378,132 4,297 9,755 10.8389 11.8% 31.4 38.3
15 FN P90 75,193 8,501 198,907 662 1,499 10.1973 11.3% 23.4 50.2
16 H&K USP .45 Tactical 4,503 819 17,507 64 127 9.7692 18.2% 21.4 35.5
17 Kalashnikov AK-47 570,310 66,374 2,623,238 9,619 18,838 9.6358 11.6% 39.5 30.3
18 H&K G3/SG1 Sniper Rifle 30 10 1,742 6 7 7.0000 33.3% 174.2 4.3
19 Glock 18 Select Fire 4,977 881 15,544 49 101 6.7333 17.7% 17.6 49.3
20 Arctic Warfare Magnum (Police) 9,233 3,116 409,414 335 2,143 5.1889 33.7% 131.4 4.3
21 Desert Eagle .50AE 55,215 14,327 745,134 2,811 5,171 4.1434 25.9% 52.0 10.7
22 Steyr Scout 41,349 12,127 1,154,411 3,046 5,047 2.4560 29.3% 95.2 8.2
23 Benelli M3 Super 90 Combat 2,699 5,422 79,187 251 603 2.0510 200.9% 14.6 4.5
24 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
25 Bundeswehr Advanced Combat Knife 12,000 1,154 59,810 2 400 1.7094 9.6% 51.8 30.0




  Weapon Targets *

Rank Weapon Hits sort-descending.gif Left Middle Right
1 Kalashnikov AK-47 66,374 27.2% 59.0% 13.8%
2 Colt M4A1 Carbine 43,870 28.2% 58.5% 13.3%
3 Desert Eagle .50AE 14,327 26.4% 61.0% 12.6%
4 Steyr Scout 12,102 26.5% 64.7% 8.8%
5 FN P90 8,501 28.1% 56.3% 15.6%
6 M249 PARA Light Machine Gun 7,994 28.0% 57.5% 14.5%
7 Benelli M3 Super 90 Combat 5,422 29.8% 57.4% 12.9%
8 Sig Sauer P-228 5,259 28.8% 57.4% 13.7%
9 Sig Sauer SG-552 Commando 4,940 28.9% 55.8% 15.3%
10 Arctic Warfare Magnum (Police) 3,116 32.7% 57.4% 9.8%
11 Dual Beretta 96G Elite 1,104 25.0% 61.5% 13.5%
12 Benelli/H&K M4 Super 90 XM1014 917 26.8% 56.6% 16.6%
13 Glock 18 Select Fire 881 26.1% 62.5% 11.4%
14 H&K MP5-Navy 855 29.4% 56.3% 14.4%
15 Ingram MAC-10 826 26.6% 59.0% 14.4%
16 H&K USP .45 Tactical 819 24.4% 62.4% 13.2%
17 Galil 494 28.9% 55.7% 15.4%
18 Steyr Tactical Machine Pistol 422 27.5% 63.0% 9.5%
19 Steyr Aug 341 27.9% 55.7% 16.4%
20 FN Five-Seven 319 23.2% 61.8% 15.0%
21 H&K UMP45 267 25.1% 55.1% 19.9%
22 Fusil Automatique 115 20.0% 64.3% 15.7%
23 Bundeswehr Advanced Combat Knife 53 24.5% 67.9% 7.5%
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 / 356547 * 100, 2) AS kpercent,
			ROUND(headshots / 136333 * 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