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  Clan Information

Statistics Summary
Clan: TAMBOFF-WOLF
Home Page: tamboff-wolf.ru
Activity: 86.38%
Members: 18 active members (75 total)
Avg. Member Points: 12,361
Total Kills: 239,262
Total Deaths: 203,826
Avg. Kills: 13,292
Kills per Death: 1.17
Kills per Minute: 0.64
Total Connection Time: 261d 02:31:53h
Avg. Connection Time: 14d 12:08:26h
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-ascending.gif Activity Time Kills Clan Kills % Deaths Kpd




  Player Actions *

Rank Action Achieved Points Bonus sort-ascending.gif
1 Drop the Bomb 7,200 times -14400
2 Round MVP 9,015 times 0
3 Start Defusing the Bomb With a Defuse Kit 298 times 0
4 Start Defusing the Bomb Without a Defuse Kit 23 times 0
5 Rampage (5 kills) 14 times 56
6 Domination (4 kills) 182 times 546
7 Triple Kill (3 kills) 1,124 times 2,248
8 Revenge 821 times 2,463
9 Defuse the Bomb 251 times 2,510
10 Double Kill (2 kills) 5,251 times 5,251
11 Domination 1,551 times 7,755
12 Headshot 13,309 times 13,309
13 Plant the Bomb 1,936 times 19,360
14 Pick up the Bomb 12,061 times 24,122




  Victims of Player-Player Actions *

Rank Action sort-descending.gif Times Victimized Points Bonus
1 Revenge 968 times -2904
2 Domination 1,238 times -6190




  Team Selection *

Rank Team Joined sort-ascending.gif Percentage of Times %
1 Counter-Terrorist 1,180 times 20.93%
2 Terrorist 1,557 times 27.62%




  Weapon Usage *

Rank Weapon Points Modifier Kills sort-ascending.gif Percentage of Kills % Headshots Percentage of Headshots % Hpk
1 H&K UMP45 1.20 5 0.00% 2 0.00% 0.40
2 Benelli/H&K M4 Super 90 XM1014 1.10 6 0.00% 2 0.00% 0.33
3 Ingram MAC-10 1.50 15 0.01% 6 0.01% 0.40
4 H&K MP5-Navy 1.20 15 0.01% 5 0.01% 0.33
5 Steyr Aug 1.00 19 0.01% 9 0.01% 0.47
6 Steyr Tactical Machine Pistol 1.50 24 0.01% 9 0.01% 0.38
7 Fusil Automatique 1.00 28 0.01% 12 0.01% 0.43
8 Glock 18 Select Fire 1.40 31 0.01% 20 0.02% 0.65
9 FN Five-Seven 1.50 38 0.02% 16 0.02% 0.42
10 H&K USP .45 Tactical 1.40 55 0.02% 30 0.04% 0.55
11 Sig Sauer SG-552 Commando 1.00 68 0.03% 33 0.04% 0.49
12 Galil 1.10 82 0.03% 35 0.04% 0.43
13 Dual Beretta 96G Elite 1.40 118 0.05% 54 0.07% 0.46
14 Benelli M3 Super 90 Combat 1.20 287 0.12% 129 0.16% 0.45
15 Sig Sauer P-228 1.50 775 0.32% 350 0.43% 0.45
16 Bundeswehr Advanced Combat Knife 2.00 846 0.35% 0 0.00% 0.00
17 Arctic Warfare Magnum (Police) 1.00 890 0.37% 170 0.21% 0.19
18 FN P90 1.20 1,014 0.42% 445 0.54% 0.44
19 M249 PARA Light Machine Gun 1.20 1,237 0.52% 601 0.73% 0.49
20 High Explosive Grenade 1.80 1,288 0.54% 0 0.00% 0.00
21 Desert Eagle .50AE 1.20 3,585 1.50% 2,086 2.54% 0.58
22 Steyr Scout 1.10 3,694 1.54% 2,325 2.83% 0.63
23 Colt M4A1 Carbine 1.00 5,811 2.43% 2,666 3.25% 0.46
24 Kalashnikov AK-47 1.00 7,974 3.33% 4,299 5.24% 0.54




  Weapon Stats *

Rank Weapon Shots Hits Damage Headshots Kills sort-ascending.gif Kills per Death Accuracy Damage per Hit Shots per Kill
1 Sig SG-550 Sniper 6 3 301 1 2 2.0000 50.0% 100.3 3.0
2 H&K UMP45 249 40 762 2 5 5.0000 16.1% 19.1 49.8
3 Benelli/H&K M4 Super 90 XM1014 116 110 1,224 2 6 6.0000 94.8% 11.1 19.3
4 Ingram MAC-10 645 113 2,180 6 15 15.0000 17.5% 19.3 43.0
5 H&K MP5-Navy 695 129 2,059 5 15 15.0000 18.6% 16.0 46.3
6 Steyr Aug 566 107 3,421 10 21 7.0000 18.9% 32.0 27.0
7 Steyr Tactical Machine Pistol 1,372 188 3,139 9 24 24.0000 13.7% 16.7 57.2
8 Fusil Automatique 627 116 3,670 12 28 28.0000 18.5% 31.6 22.4
9 Glock 18 Select Fire 2,349 307 5,557 20 31 31.0000 13.1% 18.1 75.8
10 FN Five-Seven 792 208 5,460 17 39 39.0000 26.3% 26.3 20.3
11 H&K USP .45 Tactical 2,502 422 7,974 30 55 11.0000 16.9% 18.9 45.5
12 Sig Sauer SG-552 Commando 1,736 351 10,376 33 69 69.0000 20.2% 29.6 25.2
13 Galil 1,941 329 11,546 35 82 82.0000 17.0% 35.1 23.7
14 Dual Beretta 96G Elite 2,971 580 15,840 54 117 117.0000 19.5% 27.3 25.4
15 Bundeswehr Advanced Combat Knife 5,013 604 32,714 0 212 1.4133 12.0% 54.2 23.6
16 Benelli M3 Super 90 Combat 1,423 2,798 40,110 129 287 1.7500 196.6% 14.3 5.0
17 Sig Sauer P-228 20,257 3,246 99,156 350 775 23.4848 16.0% 30.5 26.1
18 Arctic Warfare Magnum (Police) 3,616 1,229 172,275 170 890 5.2976 34.0% 140.2 4.1
19 FN P90 37,182 5,552 131,231 445 1,014 17.4828 14.9% 23.6 36.7
20 M249 PARA Light Machine Gun 55,755 4,577 172,977 601 1,237 16.9452 8.2% 37.8 45.1
21 Desert Eagle .50AE 39,791 9,899 520,872 2,084 3,584 3.8168 24.9% 52.6 11.1
22 Steyr Scout 30,780 8,933 835,128 2,325 3,696 2.0964 29.0% 93.5 8.3
23 Colt M4A1 Carbine 188,087 25,130 807,655 2,667 5,815 13.4919 13.4% 32.1 32.3
24 Kalashnikov AK-47 353,669 29,914 1,143,969 4,301 7,976 9.1363 8.5% 38.2 44.3




  Weapon Targets *

Rank Weapon Hits sort-ascending.gif Left Middle Right
1 Sig SG-550 Sniper 3 0.0% 100.0% 0.0%
2 Bundeswehr Advanced Combat Knife 30 33.3% 60.0% 6.7%
3 H&K UMP45 40 35.0% 45.0% 20.0%
4 Steyr Aug 107 32.7% 58.9% 8.4%
5 Benelli/H&K M4 Super 90 XM1014 110 30.0% 57.3% 12.7%
6 Ingram MAC-10 113 25.7% 55.8% 18.6%
7 Fusil Automatique 116 24.1% 63.8% 12.1%
8 H&K MP5-Navy 129 31.0% 55.8% 13.2%
9 Steyr Tactical Machine Pistol 188 21.8% 65.4% 12.8%
10 FN Five-Seven 208 21.6% 63.9% 14.4%
11 Glock 18 Select Fire 307 26.1% 63.8% 10.1%
12 Galil 329 25.2% 61.1% 13.7%
13 Sig Sauer SG-552 Commando 351 30.5% 54.1% 15.4%
14 H&K USP .45 Tactical 422 25.8% 60.7% 13.5%
15 Dual Beretta 96G Elite 580 25.0% 63.8% 11.2%
16 Arctic Warfare Magnum (Police) 1,229 31.0% 58.4% 10.6%
17 Benelli M3 Super 90 Combat 2,798 28.6% 59.1% 12.3%
18 Sig Sauer P-228 3,246 28.1% 58.5% 13.4%
19 M249 PARA Light Machine Gun 4,577 28.4% 56.3% 15.3%
20 FN P90 5,552 27.3% 56.4% 16.2%
21 Steyr Scout 8,908 26.9% 64.1% 9.0%
22 Desert Eagle .50AE 9,899 26.4% 61.8% 11.7%
23 Colt M4A1 Carbine 25,130 27.9% 59.2% 12.9%
24 Kalashnikov AK-47 29,914 27.7% 58.0% 14.2%


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 / 239262 * 100, 2) AS kpercent,
			ROUND(headshots / 82019 * 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