{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Calculating Counter-Strike 2 Stats\n", "\n", "Awpy can also help calculate basic Counter-Strike statistics, such as average damage per round (ADR), kill-assist-survival-trade (KAST%) or Rating." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "from awpy import Demo\n", "\n", "# Demo: https://www.hltv.org/matches/2372746/spirit-vs-natus-vincere-blast-premier-spring-final-2024 (de_dust2, Map 2)\n", "dem = Demo(\"spirit-vs-natus-vincere-m2-dust2.dem\")\n", "dem.parse()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Average Damage per Round (ADR)\n", "\n", "Average Damage per Round (ADR) is a common metric to evaluate Counter-Strike players. It is simply the total damage divided by the number of rounds. We can can calculate ADR in Awpy as follows:" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (30, 6)
namesteamidsiden_roundsdmgadr
stru64stru32i32f64
"w0nderful"76561199063068840"t"1267155.916667
"sh1ro"76561198081484775"ct"12118698.833333
"jL"76561198176878303"ct"1080180.1
"donk"76561198386265483"t"1094694.6
"sh1ro"76561198081484775"t"101059105.9
………………
"jL"76561198176878303"all"22188585.681818
"Aleksib"76561198013243326"all"222232101.454545
"donk"76561198386265483"all"222647120.318182
"chopper"76561198045898864"all"22120854.909091
"zont1x"76561198995880877"all"22171477.909091
" ], "text/plain": [ "shape: (30, 6)\n", "┌───────────┬───────────────────┬──────┬──────────┬──────┬────────────┐\n", "│ name ┆ steamid ┆ side ┆ n_rounds ┆ dmg ┆ adr │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ str ┆ u64 ┆ str ┆ u32 ┆ i32 ┆ f64 │\n", "╞═══════════╪═══════════════════╪══════╪══════════╪══════╪════════════╡\n", "│ w0nderful ┆ 76561199063068840 ┆ t ┆ 12 ┆ 671 ┆ 55.916667 │\n", "│ sh1ro ┆ 76561198081484775 ┆ ct ┆ 12 ┆ 1186 ┆ 98.833333 │\n", "│ jL ┆ 76561198176878303 ┆ ct ┆ 10 ┆ 801 ┆ 80.1 │\n", "│ donk ┆ 76561198386265483 ┆ t ┆ 10 ┆ 946 ┆ 94.6 │\n", "│ sh1ro ┆ 76561198081484775 ┆ t ┆ 10 ┆ 1059 ┆ 105.9 │\n", "│ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n", "│ jL ┆ 76561198176878303 ┆ all ┆ 22 ┆ 1885 ┆ 85.681818 │\n", "│ Aleksib ┆ 76561198013243326 ┆ all ┆ 22 ┆ 2232 ┆ 101.454545 │\n", "│ donk ┆ 76561198386265483 ┆ all ┆ 22 ┆ 2647 ┆ 120.318182 │\n", "│ chopper ┆ 76561198045898864 ┆ all ┆ 22 ┆ 1208 ┆ 54.909091 │\n", "│ zont1x ┆ 76561198995880877 ┆ all ┆ 22 ┆ 1714 ┆ 77.909091 │\n", "└───────────┴───────────────────┴──────┴──────────┴──────┴────────────┘" ] }, "execution_count": 4, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from awpy.stats import adr\n", "\n", "adr(dem)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "ADR takes two optional arguments, `team_dmg` (default `False`), which removes team damage from the overall damage calculation, and `self_dmg` (default `True`), which removes any damage the player did to themselves. It is advised to leave these defaults as is in order to match most websites." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Kill, Assist, Survival and Trade % (KAST%)\n", "Another common Counter-Strike statistic is KAST%, or the % of rounds where a player achieves a kill, assist, survives or trades. We can calculate KAST% in Awpy as follows:" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (30, 6)
namesteamidsidekast_roundsn_roundskast
stru64stru32u32f64
"chopper"76561198045898864"all"142263.636364
"donk"76561198386265483"all"182281.818182
"w0nderful"76561199063068840"all"182281.818182
"sh1ro"76561198081484775"all"172277.272727
"jL"76561198176878303"all"152268.181818
………………
"magixx"76561199063238565"t"81080.0
"w0nderful"76561199063068840"t"111291.666667
"jL"76561198176878303"t"91275.0
"zont1x"76561198995880877"t"61060.0
"chopper"76561198045898864"t"61060.0
" ], "text/plain": [ "shape: (30, 6)\n", "┌───────────┬───────────────────┬──────┬─────────────┬──────────┬───────────┐\n", "│ name ┆ steamid ┆ side ┆ kast_rounds ┆ n_rounds ┆ kast │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ str ┆ u64 ┆ str ┆ u32 ┆ u32 ┆ f64 │\n", "╞═══════════╪═══════════════════╪══════╪═════════════╪══════════╪═══════════╡\n", "│ chopper ┆ 76561198045898864 ┆ all ┆ 14 ┆ 22 ┆ 63.636364 │\n", "│ donk ┆ 76561198386265483 ┆ all ┆ 18 ┆ 22 ┆ 81.818182 │\n", "│ w0nderful ┆ 76561199063068840 ┆ all ┆ 18 ┆ 22 ┆ 81.818182 │\n", "│ sh1ro ┆ 76561198081484775 ┆ all ┆ 17 ┆ 22 ┆ 77.272727 │\n", "│ jL ┆ 76561198176878303 ┆ all ┆ 15 ┆ 22 ┆ 68.181818 │\n", "│ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n", "│ magixx ┆ 76561199063238565 ┆ t ┆ 8 ┆ 10 ┆ 80.0 │\n", "│ w0nderful ┆ 76561199063068840 ┆ t ┆ 11 ┆ 12 ┆ 91.666667 │\n", "│ jL ┆ 76561198176878303 ┆ t ┆ 9 ┆ 12 ┆ 75.0 │\n", "│ zont1x ┆ 76561198995880877 ┆ t ┆ 6 ┆ 10 ┆ 60.0 │\n", "│ chopper ┆ 76561198045898864 ┆ t ┆ 6 ┆ 10 ┆ 60.0 │\n", "└───────────┴───────────────────┴──────┴─────────────┴──────────┴───────────┘" ] }, "execution_count": 5, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from awpy.stats import kast\n", "\n", "kast(dem, trade_length_in_seconds=5)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "KAST takes one argument, `trade_length_in_seconds`, which specifies the length of a trade time in seconds. The default is 5 seconds." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Rating\n", "\n", "HLTV developed Rating and [Rating 2.0](https://www.hltv.org/news/20695/introducing-rating-20), which are well-described [here](https://www.youtube.com/watch?v=4rs1E4eKZcg) and an example is reverse-engineered [here](https://flashed.gg/posts/reverse-engineering-hltv-rating/). We provide a rating-esque statistic in `awpy.stats.rating`. You can calculate rating in Awpy as follows:" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
\n", "shape: (30, 6)
namesteamidsiden_roundsimpactrating
stru64stru32f64f64
"chopper"76561198045898864"all"220.5568180.66615
"donk"76561198386265483"all"221.9313641.562747
"jL"76561198176878303"all"221.5263641.231553
"magixx"76561199063238565"all"221.0013641.185146
"sh1ro"76561198081484775"all"221.9122731.587677
………………
"chopper"76561198045898864"t"100.5680.7551796
"jL"76561198176878303"t"121.721.273859
"iM"76561198050250233"t"120.510.51913
"zont1x"76561198995880877"t"100.3970.5996484
"w0nderful"76561199063068840"t"120.54750.7978
" ], "text/plain": [ "shape: (30, 6)\n", "┌───────────┬───────────────────┬──────┬──────────┬──────────┬───────────┐\n", "│ name ┆ steamid ┆ side ┆ n_rounds ┆ impact ┆ rating │\n", "│ --- ┆ --- ┆ --- ┆ --- ┆ --- ┆ --- │\n", "│ str ┆ u64 ┆ str ┆ u32 ┆ f64 ┆ f64 │\n", "╞═══════════╪═══════════════════╪══════╪══════════╪══════════╪═══════════╡\n", "│ chopper ┆ 76561198045898864 ┆ all ┆ 22 ┆ 0.556818 ┆ 0.66615 │\n", "│ donk ┆ 76561198386265483 ┆ all ┆ 22 ┆ 1.931364 ┆ 1.562747 │\n", "│ jL ┆ 76561198176878303 ┆ all ┆ 22 ┆ 1.526364 ┆ 1.231553 │\n", "│ magixx ┆ 76561199063238565 ┆ all ┆ 22 ┆ 1.001364 ┆ 1.185146 │\n", "│ sh1ro ┆ 76561198081484775 ┆ all ┆ 22 ┆ 1.912273 ┆ 1.587677 │\n", "│ … ┆ … ┆ … ┆ … ┆ … ┆ … │\n", "│ chopper ┆ 76561198045898864 ┆ t ┆ 10 ┆ 0.568 ┆ 0.7551796 │\n", "│ jL ┆ 76561198176878303 ┆ t ┆ 12 ┆ 1.72 ┆ 1.273859 │\n", "│ iM ┆ 76561198050250233 ┆ t ┆ 12 ┆ 0.51 ┆ 0.51913 │\n", "│ zont1x ┆ 76561198995880877 ┆ t ┆ 10 ┆ 0.397 ┆ 0.5996484 │\n", "│ w0nderful ┆ 76561199063068840 ┆ t ┆ 12 ┆ 0.5475 ┆ 0.7978 │\n", "└───────────┴───────────────────┴──────┴──────────┴──────────┴───────────┘" ] }, "execution_count": 6, "metadata": {}, "output_type": "execute_result" } ], "source": [ "from awpy.stats import rating\n", "\n", "rating(dem)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "You can control the individual coefficients as arguments, via `kast_coef=...`, `kills_coef=...` and so on." ] } ], "metadata": { "kernelspec": { "display_name": ".venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.8" } }, "nbformat": 4, "nbformat_minor": 2 }