Pupyter's overall stats
| Stat | Total | Last 24h | Last 7d | Last 30d | ||||
|---|---|---|---|---|---|---|---|---|
| Battles | 33,421 | — | — | — | ||||
| Tier | 7.24 | — | — | — | ||||
| Wins | 15,854 | 47.44% | — | — | — | |||
| Losses | 17,185 | 51.42% | — | — | — | |||
| Draws | 382 | 1.14% | — | — | — | |||
| Battles survived | 8,225 | 24.61% | — | — | — | |||
| Tanks destroyed | 21,040 | 0.63 | — | — | — | |||
| Destruction ratio | 0.84 | — | — | — | ||||
| Tanks spotted | 28,402 | 0.85 | — | — | — | |||
| Damage dealt | 809.90 | — | — | — | ||||
| Base capture | 20,297 | 0.61 | — | — | — | |||
| Base defense | 12,294 | 0.37 | — | — | — | |||
| Experience | 439.79 | — | — | — | ||||
| Hit rate | 57.30% | — | — | — | ||||
| Personal rating | 4,575 | — | — | — | ||||
| World of Tanks Rating | 3,874 | — | — | — | ||||
| WN7 | 807.72 | — | — | — | ||||
| WN8 | 932.90 | — | — | — | ||||
| WNX | 850.84 | — | — | — | ||||
Pupyter's WNX progression
Solid line is overall WNX (matches the Total column above), drifting slowly as new battles accumulate. Dashed line is per-session WNX, computed from the battles played since the previous snapshot. It shows hot and cold streaks. Line color follows the rating tier.
Tanks shaping Pupyter's rating
🚀 Lifting the ratingWNX
Tanks that prop the overall up — dropping them would lower the rating.
- Bat.-Châtillon BourrasqueTier VIII· 3,625 battles952.43−17.25 if removed
- Grille 15Tier X· 836 battles1,165.49−10.73 if removed
- Krupp-Steyr WaffenträgerTier VII· 589 battles1,340.03−7.32 if removed
- Jagdpanzer E 100Tier X· 600 battles1,101.08−6.60 if removed
- JagdtigerTier IX· 266 battles1,547.45−6.22 if removed
⚓ Dragging the ratingWNX
Tanks that weigh the overall down — dropping them would raise the rating.
- M41 Walker BulldogTier VIII· 1,134 battles464.55+15.66 if removed
- AMX ELC bisTier V· 1,958 battles600.99+12.04 if removed
- T-44Tier VIII· 1,167 battles562.64+11.75 if removed
- T37Tier VI· 575 battles330.68+8.49 if removed
- T-43Tier VII· 452 battles450.56+5.62 if removed
Pupyter's vehicles (249)
| 3,625 | 988 | 952.43 | |
| 1,958 | 291 | 600.99 | |
| 1,528 | 413 | 766.83 | |
| 1,217 | 912 | 803.94 | |
| 1,167 | 662 | 562.64 | |
| 1,134 | 502 | 464.55 | |
| 891 | 1,389 | 924.06 | |
| 836 | 1,658 | 1,165.49 | |
| 832 | 618 | 802.82 | |
| 797 | 1,086 | 1,012.69 | |
| 651 | 783 | 834.06 | |
| 622 | 1,218 | 967.85 | |
| 600 | 1,675 | 1,101.08 | |
| 589 | 966 | 1,340.03 | |
| 575 | 291 | 330.68 | |
| 547 | 514 | 501.52 | |
| 544 | 1,498 | 1,029.19 | |
| 524 | 1,434 | 1,032.49 | |
| 477 | 1,345 | 865.74 | |
| 465 | 465 | 520.86 | |
| 452 | 471 | 450.56 | |
| 367 | 131 | 215.85 | |
| 324 | 1,014 | 901.89 | |
| 311 | 638 | 650.32 | |
| 310 | 565 | 525.53 | |
| 295 | 350 | 371.04 | |
| 294 | 478 | 558.61 | |
| 277 | 664 | 895.78 | |
| 266 | 1,711 | 1,547.45 | |
| 262 | 931 | 699.61 | |
| 257 | 1,527 | 1,496.81 | |
| 219 | 344 | 308.84 | |
| 217 | 1,484 | 959.91 | |
| 209 | 180 | 230.03 | |
| 209 | 1,323 | 1,034.28 | |
| 203 | 204 | 162.30 | |
| 202 | 770 | 709.84 | |
| 184 | 215 | 223.29 | |
| 176 | 503 | 1,437.95 | |
| 169 | 268 | 276.78 | |
| 158 | 1,170 | 856.62 | |
| 150 | 690 | 1,407.49 | |
| 145 | 557 | 836.97 | |
| 143 | 1,118 | 1,087.16 | |
| 141 | 285 | 203.69 | |
| 140 | 644 | 415.37 | |
| 139 | 592 | 595.41 | |
| 135 | 1,740 | 1,657.47 | |
| 134 | 1,125 | 603.74 | |
| 132 | 221 | 316.85 | |
| 132 | 117 | 52.60 | |
| 128 | 315 | 465.35 | |
| 126 | 1,657 | 1,382.58 | |
| 122 | 227 | 269.59 | |
| 120 | 1,778 | 1,312.96 | |
| 119 | 692 | 598.28 | |
| 116 | 354 | 477.76 | |
| 112 | 1,514 | 1,393.15 | |
| 110 | 511 | 431.58 | |
| 109 | 1,630 | 1,367.00 | |
| 107 | 1,358 | 1,520.72 | |
| 106 | 1,051 | 2,480.37 | |
| 106 | 1,106 | 1,127.05 | |
| 106 | 2,397 | 2,142.66 | |
| 106 | 600 | 603.17 | |
| 105 | 70 | 8.87 | |
| 99 | 328 | 556.39 | |
| 95 | 1,137 | 873.38 | |
| 93 | 354 | 390.60 | |
| 93 | 706 | 1,858.16 | |
| 91 | 1,819 | 1,903.80 | |
| 91 | 974 | 1,463.16 | |
| 87 | 2,067 | 2,050.78 | |
| 85 | 98 | 29.80 | |
| 82 | 88 | 31.39 | |
| 80 | 720 | 697.00 | |
| 78 | 193 | 228.98 | |
| 77 | 1,551 | 966.59 | |
| 75 | 868 | 1,627.59 | |
| 75 | 88 | 28.60 | |
| 75 | 438 | 883.03 | |
| 72 | 296 | 686.10 | |
| 71 | 1,116 | 1,207.49 | |
| 69 | 1,415 | 1,324.52 | |
| 69 | 1,053 | 1,127.39 | |
| 68 | 1,730 | 1,592.65 | |
| 66 | 1,559 | 1,031.06 | |
| 65 | 594 | 1,082.41 | |
| 65 | 144 | 103.20 | |
| 64 | 88 | 27.31 | |
| 63 | 551 | 471.96 | |
| 63 | 79 | 32.77 | |
| 62 | 1,330 | 1,271.23 | |
| 61 | 965 | 703.92 | |
| 56 | 433 | 1,003.05 | |
| 54 | 256 | 203.19 | |
| 54 | 461 | 412.58 | |
| 54 | 339 | 324.70 | |
| 53 | 694 | 1,487.70 | |
| 53 | 1,031 | 878.52 | |
| 50 | 989 | 1,765.03 | |
| 50 | 831 | 1,746.31 | |
| 50 | 141 | 122.84 | |
| 50 | 1,913 | 1,654.90 | |
| 50 | 870 | 2,043.63 | |
| 49 | 117 | 125.33 | |
| 49 | 1,223 | 1,215.80 | |
| 49 | 896 | 657.80 | |
| 49 | 1,107 | 816.29 | |
| 47 | 360 | 563.25 | |
| 47 | 785 | 1,487.49 | |
| 46 | 496 | 1,216.13 | |
| 44 | 170 | 307.40 | |
| 43 | 240 | 301.84 | |
| 43 | 427 | 836.63 | |
| 42 | 952 | 1,099.88 | |
| 42 | 888 | 982.64 | |
| 42 | 952 | 1,048.90 | |
| 42 | 288 | 639.66 | |
| 40 | 494 | 890.86 | |
| 40 | 68 | 9.34 | |
| 40 | 1,226 | 1,644.27 | |
| 39 | 1,248 | 1,598.16 | |
| 39 | 1,128 | 1,284.02 | |
| 38 | 961 | 912.72 | |
| 36 | 903 | 1,188.19 | |
| 36 | 523 | 828.60 | |
| 35 | 106 | 105.30 | |
| 35 | 994 | 1,275.01 | |
| 34 | 1,326 | 1,391.42 | |
| 34 | 148 | 123.36 | |
| 34 | 426 | 267.32 | |
| 34 | 1,225 | 2,477.04 | |
| 33 | 363 | 761.87 | |
| 33 | 409 | 404.18 | |
| 32 | 73 | 21.10 | |
| 31 | 100 | 154.39 | |
| 31 | 155 | 113.66 | |
| 31 | 340 | 463.48 | |
| 30 | 49 | 5.39 | |
| 29 | 109 | 92.15 | |
| 29 | 292 | 555.52 | |
| 29 | 697 | 966.38 | |
| 29 | 89 | 3.60 | |
| 29 | 831 | 273.51 | |
| 28 | 2,155 | 1,572.65 | |
| 28 | 1,351 | 1,681.20 | |
| 27 | 510 | 999.33 | |
| 26 | 395 | 487.02 | |
| 25 | 321 | 586.85 | |
| 25 | 510 | 498.81 | |
| 25 | 1,189 | 941.49 | |
| 24 | 338 | 331.22 | |
| 24 | 1,083 | 1,147.45 | |
| 23 | 55 | 5.69 | |
| 23 | 104 | 50.25 | |
| 23 | 1,498 | 2,547.74 | |
| 23 | 514 | 950.29 | |
| 22 | 517 | 1,072.97 | |
| 22 | 364 | 583.13 | |
| 21 | 133 | 245.92 | |
| 21 | 608 | 264.33 | |
| 21 | 88 | 42.54 | |
| 21 | 173 | 169.68 | |
| 21 | 707 | 598.61 | |
| 19 | 297 | 543.15 | |
| 18 | 196 | 253.83 | |
| 18 | 315 | 669.13 | |
| 18 | 754 | 910.86 | |
| 17 | 1,160 | 1,828.01 | |
| 17 | 793 | 1,030.88 | |
| 17 | 144 | 233.20 | |
| 17 | 56 | 6.41 | |
| 17 | 869 | 491.42 | |
| 17 | 303 | 683.03 | |
| 16 | 568 | 859.67 | |
| 15 | 219 | 454.99 | |
| 15 | 895 | 1,365.79 | |
| 15 | 70 | 43.73 | |
| 15 | 839 | 1,359.40 | |
| 15 | 458 | 374.17 | |
| 14 | 413 | 663.29 | |
| 13 | 72 | 8.49 | |
| 13 | 118 | 65.44 | |
| 13 | 83 | 72.19 | |
| 13 | 83 | 17.27 | |
| 12 | 18 | 2.08 | |
| 12 | 178 | 121.51 | |
| 12 | 291 | 361.59 | |
| 12 | 531 | 652.26 | |
| 12 | 747 | 1,154.29 | |
| 12 | 293 | 579.88 | |
| 11 | 78 | 30.98 | |
| 11 | 980 | 2,549.08 | |
| 11 | 200 | 259.09 | |
| 11 | 368 | 715.20 | |
| 11 | 675 | 808.20 | |
| 10 | 169 | 159.76 | |
| 10 | 1,072 | 1,772.72 | |
| 9 | 571 | 1,096.35 | |
| 9 | 1,315 | 930.38 | |
| 9 | 112 | 3.54 | |
| 8 | 422 | 1,118.81 | |
| 7 | 225 | 202.35 | |
| 7 | 424 | 708.47 | |
| 7 | 296 | 421.66 | |
| 7 | 1,007 | 1,866.15 | |
| 7 | 323 | 93.62 | |
| 7 | 254 | 1,818.43 | |
| 7 | 638 | 277.06 | |
| 7 | 372 | 435.09 | |
| 7 | 666 | 283.92 | |
| 6 | 135 | 4.43 | |
| 6 | 180 | 228.79 | |
| 6 | 1,294 | 429.32 | |
| 6 | 531 | 818.92 | |
| 5 | 288 | 198.24 | |
| 5 | 2,355 | 1,708.95 | |
| 5 | 134 | 33.05 | |
| 5 | 2,295 | 2,310.37 | |
| 4 | 16 | 2.08 | |
| 4 | 368 | 393.65 | |
| 4 | 789 | 898.98 | |
| 4 | 82 | 25.56 | |
| 4 | 416 | 1,799.57 | |
| 4 | 63 | 9.53 | |
| 4 | 493 | 991.54 | |
| 4 | 376 | 764.69 | |
| 4 | 465 | 881.77 | |
| 3 | 598 | 438.61 | |
| 3 | 919 | 1,477.60 | |
| 3 | 357 | 1,400.02 | |
| 3 | 92 | 12.03 | |
| 2 | 60 | 30.11 | |
| 2 | 109 | 48.85 | |
| 2 | 196 | 515.28 | |
| 2 | 22 | 2.08 | |
| 2 | 755 | 2,721.93 | |
| 2 | 490 | 621.36 | |
| 2 | 1,528 | 1,717.22 | |
| 2 | 160 | 0.55 | |
| 2 | 79 | 323.77 | |
| 2 | 599 | 1,070.89 | |
| 2 | 418 | 22.78 | |
| 2 | 381 | 1,217.77 | |
| 1 | 172 | 131.47 | |
| 1 | 0 | 2.08 | |
| 1 | 103 | 2.08 | |
| 1 | 0 | 2.08 |
Pupyter's clans history
1 clans · 3y 8mo in clans
Oct 20142016201720182019202020212022202320242025today
| [IN-LT] | current | 4 years |
