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: 31,851
Всего фрагов: 33,866
Всего смертей: 10,873
Среднее количество фрагов: 2,822
Фраги к смертям: 3.11
Фраги в минуту: 0.52
Общее время игры: 45дн 11:00:39ч
Среднее время игры: 3дн 18:55:03ч
Любимый сервер:* EViLZOMB.RU | Original Biohazard
Любимая карта:* zm_braintell_jackass3-re
Любимое оружие:* Kalashnikov AK-47
Местоположение игроков

  Игроки

# Игрок Опыт Активность Время Фраги Фраги за клан % Смерти sort-descending.gif Ф:С
1  Russian federationnwo | uHHokeHTuu* 53,413 99% 8дн 05:38:36ч 3,863 11.41% 11.41% 3,156 1.22
2  Russian federationnwo | Mertens 74,644 100% 9дн 18:02:40ч 7,622 22.51% 22.51% 1,535 4.97
3  Russian federationnwo | nevsebe 88,890 100% 8дн 16:21:32ч 10,207 30.14% 30.14% 1,320 7.73
4  Kazakhstannwo | Ryomen 14,702 100% 2дн 13:41:21ч 603 1.78% 1.78% 934 0.65
5  Portugalnwo | cbdo 50,266 100% 4дн 05:23:51ч 4,024 11.88% 11.88% 910 4.42
6  Russian federationnwo | haze 25,501 98% 2дн 21:34:07ч 2,124 6.27% 6.27% 842 2.52
7  Polandnwo | Sangre VI 19,119 82% 2дн 14:10:31ч 1,253 3.70% 3.70% 603 2.08
8  Belarusnwo | 0lEsHka 21,286 89% 2дн 06:50:20ч 1,691 4.99% 4.99% 586 2.89
9  Russian federationnwo | hippie 18,418 97% 2дн 12:04:55ч 1,457 4.30% 4.30% 584 2.49
10  Russian federationnwo | СеВер 11,994 84% 1дн 10:53:44ч 886 2.62% 2.62% 349 2.54
11  Russian federationnwo | sharkvae 2,982 100% 0дн 06:11:36ч 136 0.40% 0.40% 54 2.52
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-ascending.gif Процент фрагов % Хедшоты Процент хедшотов % Х:Ф
1 FN Five-Seven 2.00 1 0.00% 0.00% 1 0.01% 0.01% 1.00
2 Glock 18 Select Fire 1.50 5 0.01% 0.01% 3 0.02% 0.02% 0.60
3 Dual Beretta 96G Elite 1.30 26 0.08% 0.08% 16 0.08% 0.08% 0.62
4 FN P90 1.50 59 0.17% 0.17% 36 0.19% 0.19% 0.61
5 Sig Sauer P-228 2.00 77 0.23% 0.23% 48 0.25% 0.25% 0.62
6 Steyr Tactical Machine Pistol 3.00 77 0.23% 0.23% 59 0.31% 0.31% 0.77
7 Sig SG-550 Sniper 0.40 82 0.24% 0.24% 50 0.27% 0.27% 0.61
8 Fusil Automatique 2.00 87 0.26% 0.26% 58 0.31% 0.31% 0.67
9 M249 PARA Light Machine Gun 1.40 96 0.28% 0.28% 62 0.33% 0.33% 0.65
10 H&K UMP45 3.00 112 0.33% 0.33% 82 0.43% 0.43% 0.73
11 Benelli M3 Super 90 Combat 2.00 113 0.33% 0.33% 53 0.28% 0.28% 0.47
12 Sig Sauer SG-552 Commando 1.50 124 0.37% 0.37% 89 0.47% 0.47% 0.72
13 Steyr Aug 1.50 166 0.49% 0.49% 112 0.59% 0.59% 0.67
14 Ingram MAC-10 1.50 237 0.70% 0.70% 168 0.89% 0.89% 0.71
15 Galil 2.00 280 0.83% 0.83% 201 1.07% 1.07% 0.72
16 H&K MP5-Navy 1.50 339 1.00% 1.00% 210 1.11% 1.11% 0.62
17 Desert Eagle .50AE 0.90 370 1.09% 1.09% 239 1.27% 1.27% 0.65
18 Arctic Warfare Magnum (Police) 1.50 467 1.38% 1.38% 315 1.67% 1.67% 0.67
19 Steyr Scout 4.00 508 1.50% 1.50% 369 1.96% 1.96% 0.73
20 Evilzomb Advanced Combat Knife 1.50 580 1.71% 1.71% 98 0.52% 0.52% 0.17
21 H&K USP .45 Tactical 1.50 861 2.54% 2.54% 641 3.40% 3.40% 0.74
22 Benelli/H&K M4 Super 90 XM1014 1.30 990 2.92% 2.92% 534 2.83% 2.83% 0.54
23 H&K G3/SG1 Sniper Rifle 0.40 1,779 5.25% 5.25% 1,080 5.73% 5.73% 0.61
24 High Explosive Grenade 0.40 2,362 6.97% 6.97% 0 0.00% 0.00% 0.00
25 Colt M4A1 Carbine 1.20 3,652 10.78% 10.78% 2,379 12.61% 12.61% 0.65
26 Kalashnikov AK-47 1.20 6,915 20.42% 20.42% 4,514 23.93% 23.93% 0.65




  Общая статистика по оружию *

# Оружие Выстрелы Попадания Урон Хедшоты Фраги sort-ascending.gif Ф:C Точнсть Урон к выстрелам Выстрелы к фрагам
1 FN Five-Seven 128 48 273 1 1 1.0000 37.5% 5.7 128.0
2 Glock 18 Select Fire 675 166 1,166 3 5 5.0000 24.6% 7.0 135.0
3 Dual Beretta 96G Elite 2,408 683 4,860 16 25 6.2500 28.4% 7.1 96.3
4 FN P90 8,316 2,785 13,500 36 59 59.0000 33.5% 4.8 140.9
5 Sig Sauer P-228 4,755 1,607 12,253 47 75 9.3750 33.8% 7.6 63.4
6 Steyr Tactical Machine Pistol 6,810 2,793 15,627 58 75 75.0000 41.0% 5.6 90.8
7 Sig SG-550 Sniper 3,917 1,997 14,793 45 77 77.0000 51.0% 7.4 50.9
8 Fusil Automatique 11,042 4,647 28,367 57 88 29.3333 42.1% 6.1 125.5
9 M249 PARA Light Machine Gun 13,461 6,254 23,915 59 96 10.6667 46.5% 3.8 140.2
10 H&K UMP45 7,251 3,499 23,915 82 112 112.0000 48.3% 6.8 64.7
11 Benelli M3 Super 90 Combat 2,024 1,586 25,858 53 113 14.1250 78.4% 16.3 17.9
12 Sig Sauer SG-552 Commando 9,098 3,908 26,825 84 120 60.0000 43.0% 6.9 75.8
13 Steyr Aug 15,929 6,978 40,241 106 164 54.6667 43.8% 5.8 97.1
14 Ingram MAC-10 19,017 6,398 50,984 168 235 29.3750 33.6% 8.0 80.9
15 Galil 28,060 11,483 70,781 197 281 56.2000 40.9% 6.2 99.9
16 H&K MP5-Navy 37,467 15,279 77,582 198 323 80.7500 40.8% 5.1 116.0
17 Desert Eagle .50AE 21,959 9,320 58,878 218 368 3.7938 42.4% 6.3 59.7
18 Arctic Warfare Magnum (Police) 5,806 3,377 108,803 291 452 64.5714 58.2% 32.2 12.8
19 Steyr Scout 8,251 4,779 132,736 363 504 50.4000 57.9% 27.8 16.4
20 Evilzomb Advanced Combat Knife 498,593 1,795 81,314 102 587 0.1332 0.4% 45.3 849.4
21 H&K USP .45 Tactical 29,738 12,642 103,783 636 853 6.4135 42.5% 8.2 34.9
22 Benelli/H&K M4 Super 90 XM1014 28,125 19,287 261,462 510 973 24.9487 68.6% 13.6 28.9
23 H&K G3/SG1 Sniper Rifle 89,086 49,143 403,977 1,030 1,766 47.7297 55.2% 8.2 50.4
24 High Explosive Grenade 25,006 42,355 937,508 3 2,186 35.8361 169.4% 22.1 11.4
25 Colt M4A1 Carbine 310,465 127,741 794,191 2,271 3,623 61.4068 41.1% 6.2 85.7
26 Kalashnikov AK-47 539,901 225,337 1,570,386 4,316 6,868 53.6563 41.7% 7.0 78.6




  Статистика попаданий *

# Оружие Попадания sort-ascending.gif Голова Грудь Живот Левая рука Правая рука Левая нога Правая нога Левая часть Центральная Правая часть
1 High Explosive Grenade 42 12 9 5 6 6 2 2 19.0% 61.9% 19.0%
2 FN Five-Seven 48 20 9 0 11 6 1 1 25.0% 60.4% 14.6%
3 Glock 18 Select Fire 166 53 36 4 34 20 10 9 26.5% 56.0% 17.5%
4 Dual Beretta 96G Elite 683 180 159 32 134 109 30 39 24.0% 54.3% 21.7%
5 Evilzomb Advanced Combat Knife 1,308 352 179 83 233 212 115 134 26.6% 46.9% 26.5%
6 Benelli M3 Super 90 Combat 1,586 375 326 126 292 281 79 107 23.4% 52.1% 24.5%
7 Sig Sauer P-228 1,601 288 393 132 365 223 108 92 29.5% 50.8% 19.7%
8 Sig SG-550 Sniper 1,997 510 482 129 373 304 113 86 24.3% 56.1% 19.5%
9 FN P90 2,785 666 651 176 535 371 183 203 25.8% 53.6% 20.6%
10 Steyr Tactical Machine Pistol 2,793 937 616 130 548 393 79 90 22.4% 60.3% 17.3%
11 Arctic Warfare Magnum (Police) 3,377 964 804 266 542 482 160 159 20.8% 60.2% 19.0%
12 H&K UMP45 3,499 926 756 243 661 510 209 194 24.9% 55.0% 20.1%
13 Sig Sauer SG-552 Commando 3,908 1,115 793 264 732 541 228 235 24.6% 55.6% 19.9%
14 Fusil Automatique 4,647 1,244 1,035 344 878 609 269 268 24.7% 56.4% 18.9%
15 Steyr Scout 4,779 1,611 1,096 269 758 704 169 172 19.4% 62.3% 18.3%
16 M249 PARA Light Machine Gun 6,254 1,379 1,349 436 1,378 864 390 458 28.3% 50.6% 21.1%
17 Ingram MAC-10 6,398 2,134 1,463 333 1,126 863 212 267 20.9% 61.4% 17.7%
18 Steyr Aug 6,978 1,670 1,575 533 1,302 1,075 403 420 24.4% 54.1% 21.4%
19 Desert Eagle .50AE 9,313 2,108 2,024 672 2,091 1,438 484 496 27.6% 51.6% 20.8%
20 Galil 11,483 3,058 2,368 827 2,231 1,555 702 742 25.5% 54.5% 20.0%
21 H&K USP .45 Tactical 12,607 4,591 2,497 624 2,334 1,589 476 496 22.3% 61.2% 16.5%
22 H&K MP5-Navy 15,279 3,291 3,466 1,347 2,893 2,273 985 1,024 25.4% 53.0% 21.6%
23 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%
24 H&K G3/SG1 Sniper Rifle 49,143 11,962 12,103 3,715 8,983 7,324 2,399 2,657 23.2% 56.5% 20.3%
25 Colt M4A1 Carbine 127,741 32,946 28,554 9,769 23,136 18,024 7,465 7,847 24.0% 55.8% 20.3%
26 Kalashnikov AK-47 225,337 58,616 48,439 17,229 42,085 30,800 13,779 14,389 24.8% 55.2% 20.1%




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 / 33866 * 100, 2) AS kpercent,
			ROUND(headshots / 18863 * 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