HLstatsX Community Edition (русская версия от MyArena.ru)
  • Содержимое
  • Поиск
  • Forum
  • Помощь

  Информация о клане

Общая статистика
Клан: nwo
Домашняя страница: Invalid Url :(
Активность: 95.41% 95.41%
Игроки: 12 активных участников (26 всего)
Средний опыт игроков: 31,739
Всего фрагов: 33,769
Всего смертей: 10,834
Среднее количество фрагов: 2,814
Фраги к смертям: 3.12
Фраги в минуту: 0.52
Общее время игры: 45дн 07:46:14ч
Среднее время игры: 3дн 18:38:51ч
Любимый сервер:* EViLZOMB.RU | Original Biohazard
Любимая карта:* zm_braintell_jackass3-re
Любимое оружие:* Kalashnikov AK-47
Местоположение игроков

  Игроки

# Игрок Опыт sort-descending.gif Активность Время Фраги Фраги за клан % Смерти Ф:С
1  Russian federationnwo | nevsebe 88,862 100% 8дн 16:13:04ч 10,203 30.21% 30.21% 1,319 7.74
2  Russian federationnwo | Mertens 74,644 100% 9дн 18:02:40ч 7,622 22.57% 22.57% 1,535 4.97
3  Russian federationnwo | uHHokeHTuu* 53,413 99% 8дн 05:38:36ч 3,863 11.44% 11.44% 3,156 1.22
4  Portugalnwo | cbdo 49,049 100% 4дн 02:58:01ч 3,936 11.66% 11.66% 883 4.46
5  Russian federationnwo | haze 25,501 98% 2дн 21:34:07ч 2,124 6.29% 6.29% 842 2.52
6  Belarusnwo | 0lEsHka 21,286 89% 2дн 06:50:20ч 1,691 5.01% 5.01% 586 2.89
7  Polandnwo | Sangre VI 19,119 82% 2дн 14:10:31ч 1,253 3.71% 3.71% 603 2.08
8  Russian federationnwo | hippie 18,418 97% 2дн 12:04:55ч 1,457 4.31% 4.31% 584 2.49
9  Kazakhstannwo | Ryomen 14,668 100% 2дн 13:16:02ч 602 1.78% 1.78% 926 0.65
10  Russian federationnwo | СеВер 11,994 84% 1дн 10:53:44ч 886 2.62% 2.62% 349 2.54
11  Russian federationnwo | sharkvae 2,916 100% 0дн 05:56:48ч 132 0.39% 0.39% 51 2.59
12  Uzbekistannwo | ParshЭN 1,000 96% 0дн 00:07:26ч 0 0.00% 0.00% 0 0.00




  Статистика использования оружия *

# Оружие Множитель Фраги sort-descending.gif Процент фрагов % Хедшоты Процент хедшотов % Х:Ф
1 Kalashnikov AK-47 1.20 6,907 20.45% 20.45% 4,508 23.97% 23.97% 0.65
2 Colt M4A1 Carbine 1.20 3,633 10.76% 10.76% 2,364 12.57% 12.57% 0.65
3 High Explosive Grenade 0.40 2,344 6.94% 6.94% 0 0.00% 0.00% 0.00
4 H&K G3/SG1 Sniper Rifle 0.40 1,778 5.27% 5.27% 1,079 5.74% 5.74% 0.61
5 Benelli/H&K M4 Super 90 XM1014 1.30 990 2.93% 2.93% 534 2.84% 2.84% 0.54
6 H&K USP .45 Tactical 1.50 859 2.54% 2.54% 639 3.40% 3.40% 0.74
7 Evilzomb Advanced Combat Knife 1.50 579 1.71% 1.71% 98 0.52% 0.52% 0.17
8 Steyr Scout 4.00 497 1.47% 1.47% 361 1.92% 1.92% 0.73
9 Arctic Warfare Magnum (Police) 1.50 467 1.38% 1.38% 315 1.67% 1.67% 0.67
10 Desert Eagle .50AE 0.90 370 1.10% 1.10% 239 1.27% 1.27% 0.65
11 H&K MP5-Navy 1.50 339 1.00% 1.00% 210 1.12% 1.12% 0.62
12 Galil 2.00 280 0.83% 0.83% 201 1.07% 1.07% 0.72
13 Ingram MAC-10 1.50 233 0.69% 0.69% 166 0.88% 0.88% 0.71
14 Steyr Aug 1.50 160 0.47% 0.47% 107 0.57% 0.57% 0.67
15 Sig Sauer SG-552 Commando 1.50 124 0.37% 0.37% 89 0.47% 0.47% 0.72
16 Benelli M3 Super 90 Combat 2.00 113 0.33% 0.33% 53 0.28% 0.28% 0.47
17 M249 PARA Light Machine Gun 1.40 96 0.28% 0.28% 62 0.33% 0.33% 0.65
18 H&K UMP45 3.00 94 0.28% 0.28% 71 0.38% 0.38% 0.76
19 Fusil Automatique 2.00 87 0.26% 0.26% 58 0.31% 0.31% 0.67
20 Sig SG-550 Sniper 0.40 82 0.24% 0.24% 50 0.27% 0.27% 0.61
21 Steyr Tactical Machine Pistol 3.00 77 0.23% 0.23% 59 0.31% 0.31% 0.77
22 Sig Sauer P-228 2.00 77 0.23% 0.23% 48 0.26% 0.26% 0.62
23 FN P90 1.50 50 0.15% 0.15% 33 0.18% 0.18% 0.66
24 Dual Beretta 96G Elite 1.30 26 0.08% 0.08% 16 0.09% 0.09% 0.62
25 Glock 18 Select Fire 1.50 5 0.01% 0.01% 3 0.02% 0.02% 0.60
26 FN Five-Seven 2.00 1 0.00% 0.00% 1 0.01% 0.01% 1.00




  Общая статистика по оружию *

# Оружие Выстрелы Попадания Урон Хедшоты Фраги sort-descending.gif Ф:C Точнсть Урон к выстрелам Выстрелы к фрагам
1 Kalashnikov AK-47 539,507 225,103 1,568,665 4,310 6,860 53.5938 41.7% 7.0 78.6
2 Colt M4A1 Carbine 308,986 127,108 789,937 2,256 3,604 62.1379 41.1% 6.2 85.7
3 High Explosive Grenade 24,864 42,035 930,264 3 2,168 35.5410 169.1% 22.1 11.5
4 H&K G3/SG1 Sniper Rifle 88,996 49,094 403,516 1,029 1,765 47.7027 55.2% 8.2 50.4
5 Benelli/H&K M4 Super 90 XM1014 28,125 19,287 261,462 510 973 24.9487 68.6% 13.6 28.9
6 H&K USP .45 Tactical 29,642 12,603 103,350 634 851 6.3985 42.5% 8.2 34.8
7 Evilzomb Advanced Combat Knife 496,484 1,788 81,116 102 586 0.1341 0.4% 45.4 847.2
8 Steyr Scout 7,905 4,576 127,937 355 493 49.3000 57.9% 28.0 16.0
9 Arctic Warfare Magnum (Police) 5,806 3,377 108,803 291 452 64.5714 58.2% 32.2 12.8
10 Desert Eagle .50AE 21,932 9,305 58,737 218 368 3.7938 42.4% 6.3 59.6
11 H&K MP5-Navy 37,214 15,203 77,284 198 323 80.7500 40.9% 5.1 115.2
12 Galil 28,060 11,483 70,781 197 281 56.2000 40.9% 6.2 99.9
13 Ingram MAC-10 18,564 6,177 49,257 166 231 28.8750 33.3% 8.0 80.4
14 Steyr Aug 15,188 6,617 38,058 101 158 79.0000 43.6% 5.8 96.1
15 Sig Sauer SG-552 Commando 9,098 3,908 26,825 84 120 60.0000 43.0% 6.9 75.8
16 Benelli M3 Super 90 Combat 2,005 1,570 25,561 53 113 14.1250 78.3% 16.3 17.7
17 M249 PARA Light Machine Gun 13,461 6,254 23,915 59 96 10.6667 46.5% 3.8 140.2
18 H&K UMP45 5,775 2,692 18,273 71 94 94.0000 46.6% 6.8 61.4
19 Fusil Automatique 11,042 4,647 28,367 57 88 29.3333 42.1% 6.1 125.5
20 Sig SG-550 Sniper 3,917 1,997 14,793 45 77 77.0000 51.0% 7.4 50.9
21 Steyr Tactical Machine Pistol 6,810 2,793 15,627 58 75 75.0000 41.0% 5.6 90.8
22 Sig Sauer P-228 4,755 1,607 12,253 47 75 9.3750 33.8% 7.6 63.4
23 FN P90 7,308 2,423 11,764 33 50 50.0000 33.2% 4.9 146.2
24 Dual Beretta 96G Elite 2,408 683 4,860 16 25 6.2500 28.4% 7.1 96.3
25 Glock 18 Select Fire 675 166 1,166 3 5 5.0000 24.6% 7.0 135.0
26 FN Five-Seven 128 48 273 1 1 1.0000 37.5% 5.7 128.0




  Статистика попаданий *

# Оружие Попадания Голова Грудь Живот Левая рука Правая рука Левая нога Правая нога Левая часть Центральная Правая часть sort-descending.gif
1 Evilzomb Advanced Combat Knife 1,302 351 179 83 233 211 112 133 26.5% 47.1% 26.4%
2 Benelli M3 Super 90 Combat 1,570 371 321 126 290 278 78 106 23.4% 52.1% 24.5%
3 Dual Beretta 96G Elite 683 180 159 32 134 109 30 39 24.0% 54.3% 21.7%
4 H&K MP5-Navy 15,203 3,278 3,438 1,344 2,881 2,260 982 1,020 25.4% 53.0% 21.6%
5 Steyr Aug 6,617 1,574 1,485 509 1,236 1,033 383 397 24.5% 53.9% 21.6%
6 M249 PARA Light Machine Gun 6,254 1,379 1,349 436 1,378 864 390 458 28.3% 50.6% 21.1%
7 FN P90 2,423 593 544 150 464 329 163 180 25.9% 53.1% 21.0%
8 Desert Eagle .50AE 9,298 2,102 2,021 672 2,087 1,436 484 496 27.7% 51.6% 20.8%
9 Benelli/H&K M4 Super 90 XM1014 19,287 5,104 3,900 1,210 3,885 2,764 1,205 1,219 26.4% 53.0% 20.7%
10 H&K UMP45 2,692 693 580 198 519 403 156 143 25.1% 54.6% 20.3%
11 Colt M4A1 Carbine 127,108 32,761 28,405 9,733 23,034 17,922 7,435 7,818 24.0% 55.8% 20.3%
12 H&K G3/SG1 Sniper Rifle 49,094 11,947 12,092 3,712 8,973 7,317 2,397 2,656 23.2% 56.5% 20.3%
13 Kalashnikov AK-47 225,103 58,551 48,400 17,212 42,028 30,765 13,764 14,383 24.8% 55.2% 20.1%
14 Galil 11,483 3,058 2,368 827 2,231 1,555 702 742 25.5% 54.5% 20.0%
15 Sig Sauer SG-552 Commando 3,908 1,115 793 264 732 541 228 235 24.6% 55.6% 19.9%
16 Sig Sauer P-228 1,601 288 393 132 365 223 108 92 29.5% 50.8% 19.7%
17 Sig SG-550 Sniper 1,997 510 482 129 373 304 113 86 24.3% 56.1% 19.5%
18 High Explosive Grenade 42 12 9 5 6 6 2 2 19.0% 61.9% 19.0%
19 Arctic Warfare Magnum (Police) 3,377 964 804 266 542 482 160 159 20.8% 60.2% 19.0%
20 Fusil Automatique 4,647 1,244 1,035 344 878 609 269 268 24.7% 56.4% 18.9%
21 Steyr Scout 4,576 1,549 1,060 254 716 669 163 165 19.2% 62.6% 18.2%
22 Glock 18 Select Fire 166 53 36 4 34 20 10 9 26.5% 56.0% 17.5%
23 Ingram MAC-10 6,177 2,072 1,401 327 1,096 817 206 258 21.1% 61.5% 17.4%
24 Steyr Tactical Machine Pistol 2,793 937 616 130 548 393 79 90 22.4% 60.3% 17.3%
25 H&K USP .45 Tactical 12,568 4,575 2,491 621 2,327 1,585 473 496 22.3% 61.2% 16.6%
26 FN Five-Seven 48 20 9 0 11 6 1 1 25.0% 60.4% 14.6%




ERROR
Database Error

Server Address: 46.174.50.9
Server Username: u10259_u10259

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 / 33769 * 100, 2) AS kpercent,
			ROUND(headshots / 18810 * 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