EL BOT — CS2 Stats

76561198400655028[U:1:440389300]✓ No bans

400Tracked matches37%Win rate2025Tracked since
CSDB Rating3.3 Learning
Premier CS Rating13,003Blue band · top ~39% of ranked players (population est.)
CSDB Leaderboard#10896 of 15698 tracked
FaceitLevel 4 · 923 ELOTop 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGEL BOTFACEITLevel 4 · 923 ELOSTANDINGTop 81.0% of rankedPREMIER13,003 · Blue bandcsdb.gg/stats

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Performance scores

Aim55
Positioning31
Utility24

0–100 skill scores via Leetify.

Recent form

COLD48484Last 10048%Win rateLLLLWWWLLL

Last 10 vs previous 10: +0pp win rate · -0.05 avg rating

Player DNA

Aim5.5
Aggression1.9
Utility2.4
Positioning3.1
Opening Duels0.0
Clutch0.0

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

Your pro match

NiKo

Plays most like NiKo 69% playstyle similarity

Most alike: opening-duel success, opening-fight frequency.

Where you differ: lower utility contribution; lower aim profile.

Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →

Strengths & areas to improve

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 657ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.

CSDB Rating breakdown

Aim5.5
Positioning3.1
Utility2.4
Mechanics5.3
Opening Duels0.0
Win Impact0.6

Composite 3.3/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.95 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.03−0.02
first ⅓ avg -0.01 → last ⅓ avg -0.03
Reaction time650ms−12ms
first ⅓ avg 663ms → last ⅓ avg 650ms
Headshot accuracy17.1%−1.3%
first ⅓ avg 18.5% → last ⅓ avg 17.1%

Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.15Best rating — mirage 13–4
132Biggest win — anubis
7Longest win streak
L4Current streak
85In matches decided by ≤2 rounds
6Overtime games

Map breakdown

dust2Best map · 71% over 7cacheWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB33161748%-0.02
ancientB158753%-0.04
anubisS139469%-0.02
infernoD134931%-0.02
dust2S75271%-0.05
cacheD71614%-0.04
overpassA53260%-0.04
train42250%0.04
nuke3030%-0.04

Across the last 100 tracked matches.

Faceit stats

Combat

8Matches
25%Win rate
0.46Avg K/D
47.5ADR
57%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
1Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage20%0.326.0
Dust220%0.5010.0
Nuke1100%0.274.0
Cache10%0.335.0
Ancient1100%0.649.0
Anubis10%0.8315.0

Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

17.4%Headshot accuracy
33.8%Accuracy (enemy spotted)
34.6%Spray accuracy
73.9%Counter-strafing
9.8°Preaim
657msReaction time
23.0%T opening success
29.0%CT opening success
0.44Enemies flashed / flash
3.8%Flash assists
8.37HE damage / grenade
2.75Flashes / match

Recommended for you

Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.

  1. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4351 — below the 0.5 mark we flag

    Grenade Lineups
  2. Advanced Mechanics

    You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.

    T opening duels 23.0029% — below the 40% mark we flag

Spend your practice time on Cache

Map knowledge compounds faster than mechanics — lineups and callouts you learn once keep paying out every time the map comes up.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis6–13-0.113%10 Aug
mirage9–13-0.0829%10 Aug
ancient11–13-0.0514%7 Aug
ancient5–13-0.0715%7 Aug
dust213–11-0.0416%6 Aug
inferno13–8-0.0422%6 Aug
dust213–3-0.0729%6 Aug
mirage6–13-0.0015%6 Aug
nuke4–9-0.0311%6 Aug
mirage11–13-0.046%1 Aug
anubis13–20.0328%24 Jul
anubis3–13-0.0432%24 Jul
cache8–13-0.0321%22 Jul
inferno2–13-0.028%22 Jul
mirage3–13-0.0115%21 Jul
ancient13–80.0824%21 Jul
mirage2–130.0441%21 Jul
inferno3–130.0220%21 Jul
mirage13–80.0323%21 Jul
nuke5–13-0.0924%21 Jul
inferno9–13-0.0615%20 Jul
dust21–13-0.116%20 Jul
anubis5–13-0.049%20 Jul
inferno10–13-0.0812%20 Jul
anubis13–90.0016%19 Jul
anubis13–8-0.0423%19 Jul
ancient1–13-0.080%19 Jul
ancient13–7-0.105%19 Jul
mirage8–13-0.109%19 Jul
cache13–30.0330%19 Jul
anubis13–100.1019%19 Jul
inferno13–40.0510%18 Jul
inferno7–13-0.0717%18 Jul
cache5–13-0.0525%18 Jul
anubis13–40.1121%16 Jul
mirage1–13-0.070%16 Jul
mirage13–40.1528%16 Jul
ancient13–40.1226%16 Jul
mirage13–110.0323%16 Jul
mirage13–100.0627%16 Jul
inferno7–130.0619%16 Jul
dust27–13-0.1218%16 Jul
mirage11–13-0.0817%16 Jul
inferno11–130.0324%16 Jul
anubis13–9-0.0116%16 Jul
mirage13–8-0.0711%15 Jul
cache7–13-0.0424%15 Jul
mirage13–8-0.0317%15 Jul
ancient13–16-0.0416%10 Jul
dust213–3-0.0220%10 Jul
mirage15–15-0.0818%10 Jul
mirage8–13-0.0719%9 Jul
ancient13–50.0213%9 Jul
cache6–13-0.0832%9 Jul
ancient7–13-0.1010%9 Jul
cache12–12-0.0417%8 Jul
cache9–13-0.0621%8 Jul
ancient8–13-0.0613%6 Jul
ancient13–8-0.0514%6 Jul
inferno8–13-0.085%30 Jun
mirage15–15-0.0513%30 Jun
mirage6–13-0.0516%29 Jun
anubis13–10-0.048%29 Jun
ancient13–7-0.1022%25 Jun
overpass13–50.0019%25 Jun
anubis13–70.0014%25 Jun
mirage2–9-0.1142%25 Jun
overpass5–13-0.0418%25 Jun
mirage3–13-0.0618%24 Jun
ancient13–11-0.1114%24 Jun
anubis13–8-0.0518%24 Jun
mirage9–13-0.0421%7 Jun
overpass9–5-0.1032%7 Jun
inferno9–5-0.0114%7 Jun
nuke9–13-0.0013%5 Jun
mirage5–13-0.0917%25 May
anubis8–13-0.1315%28 Apr
ancient13–6-0.0617%28 Apr
mirage13–40.0115%4 Jan
train9–130.0425%29 Dec
mirage13–80.1227%24 Dec
dust213–10-0.0124%24 Dec
mirage13–3-0.0517%24 Dec
train13–80.0125%24 Dec
mirage13–110.0117%24 Dec
inferno13–110.0226%24 Dec
train13–80.0419%23 Dec
overpass10–13-0.0312%23 Dec
mirage13–3-0.0217%22 Dec
mirage13–11-0.0019%22 Dec
ancient13–16-0.0117%22 Dec
overpass13–11-0.0319%22 Dec
mirage14–16-0.0317%22 Dec
mirage13–40.0413%22 Dec
mirage13–110.0611%20 Dec
train15–150.0724%20 Dec
mirage13–8-0.0612%20 Dec
inferno9–13-0.0113%20 Dec
mirage13–60.0323%19 Dec
dust213–70.0121%19 Dec

Match data via Leetify.

Recent teammates

Milestones

100 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →