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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 86.22%
Members: 18 active members (75 total)
Avg. Member Points: 12,353
Total Kills: 239,208
Total Deaths: 203,771
Avg. Kills: 13,289
Kills per Death: 1.17
Kills per Minute: 0.64
Total Connection Time: 261d 00:59:32h
Avg. Connection Time: 14d 12:03:18h
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 Kpd sort-descending.gif




  Player Actions *

Rank Action sort-descending.gif Achieved Points Bonus
1 Triple Kill (3 kills) 1,124 times 2,248
2 Start Defusing the Bomb Without a Defuse Kit 23 times 0
3 Start Defusing the Bomb With a Defuse Kit 298 times 0
4 Round MVP 8,988 times 0
5 Revenge 819 times 2,457
6 Rampage (5 kills) 14 times 56
7 Plant the Bomb 1,936 times 19,360
8 Pick up the Bomb 12,015 times 24,030
9 Headshot 13,285 times 13,285
10 Drop the Bomb 7,156 times -14312
11 Double Kill (2 kills) 5,242 times 5,242
12 Domination (4 kills) 182 times 546
13 Domination 1,548 times 7,740
14 Defuse the Bomb 251 times 2,510




  Victims of Player-Player Actions *

Rank Action sort-ascending.gif Times Victimized Points Bonus
1 Domination 1,236 times -6180
2 Revenge 966 times -2898




  Team Selection *

Rank Team Joined sort-descending.gif Percentage of Times %
1 Terrorist 1,554 times 27.61%
2 Counter-Terrorist 1,178 times 20.93%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-descending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 Kalashnikov AK-47 1.00 7,941 3.32% 4,282 5.22% 0.54
2 Colt M4A1 Carbine 1.00 5,804 2.43% 2,663 3.25% 0.46
3 Steyr Scout 1.10 3,690 1.54% 2,323 2.83% 0.63
4 Desert Eagle .50AE 1.20 3,585 1.50% 2,086 2.54% 0.58
5 High Explosive Grenade 1.80 1,285 0.54% 0 0.00% 0.00
6 M249 PARA Light Machine Gun 1.20 1,236 0.52% 600 0.73% 0.49
7 FN P90 1.20 1,014 0.42% 445 0.54% 0.44
8 Arctic Warfare Magnum (Police) 1.00 890 0.37% 170 0.21% 0.19
9 Bundeswehr Advanced Combat Knife 2.00 844 0.35% 0 0.00% 0.00
10 Sig Sauer P-228 1.50 772 0.32% 349 0.43% 0.45
11 Benelli M3 Super 90 Combat 1.20 286 0.12% 129 0.16% 0.45
12 Dual Beretta 96G Elite 1.40 118 0.05% 54 0.07% 0.46
13 Galil 1.10 82 0.03% 35 0.04% 0.43
14 Sig Sauer SG-552 Commando 1.00 68 0.03% 33 0.04% 0.49
15 H&K USP .45 Tactical 1.40 55 0.02% 30 0.04% 0.55
16 FN Five-Seven 1.50 38 0.02% 16 0.02% 0.42
17 Glock 18 Select Fire 1.40 31 0.01% 20 0.02% 0.65
18 Fusil Automatique 1.00 28 0.01% 12 0.01% 0.43
19 Steyr Tactical Machine Pistol 1.50 24 0.01% 9 0.01% 0.38
20 Steyr Aug 1.00 19 0.01% 9 0.01% 0.47
21 H&K MP5-Navy 1.20 15 0.01% 5 0.01% 0.33
22 Ingram MAC-10 1.50 15 0.01% 6 0.01% 0.40
23 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
24 H&K UMP45 1.20 5 0.00% 2 0.00% 0.40




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills Kills per Death Accuracy Damage per Hit Shots per Kill sort-descending.gif
1 Glock 18 Select Fire 2,340 305 5,537 20 31 31.0000 13.0% 18.2 75.5
2 Steyr Tactical Machine Pistol 1,372 188 3,139 9 24 24.0000 13.7% 16.7 57.2
3 H&K UMP45 249 40 762 2 5 5.0000 16.1% 19.1 49.8
4 H&K MP5-Navy 695 129 2,059 5 15 15.0000 18.6% 16.0 46.3
5 H&K USP .45 Tactical 2,502 422 7,974 30 55 11.0000 16.9% 18.9 45.5
6 M249 PARA Light Machine Gun 55,737 4,575 172,829 600 1,236 16.9315 8.2% 37.8 45.1
7 Kalashnikov AK-47 349,668 29,747 1,138,510 4,284 7,943 9.1299 8.5% 38.3 44.0
8 Ingram MAC-10 645 113 2,180 6 15 15.0000 17.5% 19.3 43.0
9 FN P90 37,182 5,552 131,231 445 1,014 17.4828 14.9% 23.6 36.7
10 Colt M4A1 Carbine 187,918 25,103 806,632 2,664 5,808 13.4756 13.4% 32.1 32.4
11 Steyr Aug 566 107 3,421 10 21 7.0000 18.9% 32.0 27.0
12 Sig Sauer P-228 20,205 3,238 98,905 349 772 23.3939 16.0% 30.5 26.2
13 Dual Beretta 96G Elite 2,971 580 15,840 54 117 117.0000 19.5% 27.3 25.4
14 Sig Sauer SG-552 Commando 1,736 351 10,376 33 69 69.0000 20.2% 29.6 25.2
15 Galil 1,941 329 11,546 35 82 82.0000 17.0% 35.1 23.7
16 Bundeswehr Advanced Combat Knife 5,007 604 32,714 0 212 1.4133 12.1% 54.2 23.6
17 Fusil Automatique 627 116 3,670 12 28 28.0000 18.5% 31.6 22.4
18 FN Five-Seven 792 208 5,460 17 39 39.0000 26.3% 26.3 20.3
19 Benelli/H&K M4 Super 90 XM1014 116 110 1,224 2 6 6.0000 94.8% 11.1 19.3
20 Desert Eagle .50AE 39,783 9,899 520,872 2,084 3,584 3.8168 24.9% 52.6 11.1
21 Steyr Scout 30,773 8,927 834,532 2,323 3,692 2.0942 29.0% 93.5 8.3
22 Benelli M3 Super 90 Combat 1,421 2,791 40,003 129 286 1.7439 196.4% 14.3 5.0
23 Arctic Warfare Magnum (Police) 3,616 1,229 172,275 170 890 5.2976 34.0% 140.2 4.1
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 29,747 27.7% 58.0% 14.3%
2 Colt M4A1 Carbine 25,103 27.9% 59.2% 12.9%
3 Desert Eagle .50AE 9,899 26.4% 61.8% 11.7%
4 Steyr Scout 8,902 26.9% 64.1% 9.0%
5 FN P90 5,552 27.3% 56.4% 16.2%
6 M249 PARA Light Machine Gun 4,575 28.4% 56.3% 15.3%
7 Sig Sauer P-228 3,238 28.1% 58.5% 13.4%
8 Benelli M3 Super 90 Combat 2,791 28.7% 59.0% 12.3%
9 Arctic Warfare Magnum (Police) 1,229 31.0% 58.4% 10.6%
10 Dual Beretta 96G Elite 580 25.0% 63.8% 11.2%
11 H&K USP .45 Tactical 422 25.8% 60.7% 13.5%
12 Sig Sauer SG-552 Commando 351 30.5% 54.1% 15.4%
13 Galil 329 25.2% 61.1% 13.7%
14 Glock 18 Select Fire 305 25.9% 63.9% 10.2%
15 FN Five-Seven 208 21.6% 63.9% 14.4%
16 Steyr Tactical Machine Pistol 188 21.8% 65.4% 12.8%
17 H&K MP5-Navy 129 31.0% 55.8% 13.2%
18 Fusil Automatique 116 24.1% 63.8% 12.1%
19 Ingram MAC-10 113 25.7% 55.8% 18.6%
20 Benelli/H&K M4 Super 90 XM1014 110 30.0% 57.3% 12.7%
21 Steyr Aug 107 32.7% 58.9% 8.4%
22 H&K UMP45 40 35.0% 45.0% 20.0%
23 Bundeswehr Advanced Combat Knife 30 33.3% 60.0% 6.7%
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 / 239208 * 100, 2) AS kpercent,
			ROUND(headshots / 81995 * 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