LegendofBAO

LegendofBAO — CS2 Stats

76561199092005497[U:1:1131739769]Steam profile ↗✓ No bans

291Tracked matches60%Win rate2023Tracked since
CSDB Rating3.7 LearningPositional Player
FaceitLevel 2 · 535 ELOTop 97.9% of ranked FACEIT players
Ladder ranks via Leetify
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CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. Today is the first observation — history builds from here and cannot be backfilled. Come back after the next session and the change shows above.

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CSDB.GGLegendofBAOFACEITLevel 2 · 535 ELOSTANDINGTop 97.9% of rankedcsdb.gg/stats

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Performance scores

Aim46
Positioning27
Utility8

0–100 skill scores via Leetify.

Recent form

STEADY5347Last 10053%Win rateLWLWWLLWLW

Last 10 vs previous 10: −10pp win rate · −0.01 avg rating · +2.1pp headshot accuracy · −19ms reaction

Win rate −10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 32 · 60% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 628ms

Last 10

  • 55 · 50% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 16%
  • Avg reaction 649ms

Last 20

  • 119 · 55% win rate
  • Avg rating -0.05
  • Avg headshot accuracy 15%
  • Avg reaction 658ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Positional PlayerPositioning stands above the rest of this profile (+1.3 against its own average).

Aim4.6
Utility0.8
Positioning2.7
Opening Duels0.0
Clutch2.0

Limited utility dependence

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

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

iM

Plays most like iM 91% playstyle similarity

Most alike: positioning profile, aim profile.

Where you differ: lower opening-duel success; lower utility contribution.

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. 700ms 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

Aim4.6
Positioning2.7
Utility0.8
Mechanics8.1
Opening Duels0.0
Win Impact8.3

Composite 3.7/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×0.90 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04+0.00
first ⅓ avg -0.05 → last ⅓ avg -0.04
Reaction time693ms−35ms
first ⅓ avg 727ms → last ⅓ avg 693ms
Headshot accuracy13.8%−3.8%
first ⅓ avg 17.6% → last ⅓ avg 13.8%

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.

Personal bests

0.06Best match rating · 13–9 · cache, 25 May
56%Best headshot accuracy · 9–13 · mirage, 27 Dec
469msFastest reaction time · 13–3 · mirage, 3 Apr
13–0Biggest win · ancient, 24 Jun

Across the last 100 tracked matches.

Highlights

6Longest win streak
1013In matches decided by ≤2 rounds
14Overtime games

Map breakdown

cacheBest map · 70% over 10nukeWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
mirageB46232350%-0.06
ancientA22121055%-0.04
dust2B105550%-0.05
cacheS107370%-0.06
nukeD62433%-0.06
anubis330100%-0.05
inferno2020%-0.09
train110100%-0.02

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (33% over 6). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

172Matches
44%Win rate
0.51Avg K/D
46.0ADR
45%Headshot %

Clutches & streaks

30%1v1 clutch win
5%1v2 clutch win
5Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage8444%0.477.5
Ancient3949%0.628.6
Anubis1533%0.488.5
Dust21136%0.5710.2
Cache1164%0.558.6
Nuke714%0.457.6
Inferno20%0.4410.0
Overpass1100%0.4510.0

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.

14.6%Headshot accuracy
31.0%Accuracy (enemy spotted)
30.9%Spray accuracy
86.4%Counter-strafing
10.6°Preaim
700msReaction time
16.1%T opening success
20.1%CT opening success
0.03Enemies flashed / flash
0.0%Flash assists
4.64HE damage / grenade
0.07Flashes / 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. Best CS2 Crosshair

    Your shots are landing on bodies more often than heads — usually a crosshair-height and placement habit rather than raw aim.

    Headshot accuracy 14.5729% — below the 15% mark we flag

    Aim Training
  2. 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 0.0313 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 16.1314% — below the 40% mark we flag

Spend your practice time on Nuke

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

33% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategyNuke grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient17–19-0.0130%25 Jul
mirage13–4-0.043%24 Jul
nuke11–13-0.0832%24 Jul
mirage13–8-0.100%18 Jul
ancient13–7-0.0722%18 Jul
mirage6–13-0.066%2 Jul
mirage13–16-0.0114%2 Jul
ancient13–10-0.0722%26 Jun
mirage8–13-0.069%24 Jun
ancient13–6-0.0119%24 Jun
dust212–16-0.0915%24 Jun
ancient13–0-0.0311%24 Jun
mirage9–13-0.1011%24 Jun
ancient13–50.0315%22 Jun
cache13–8-0.0224%22 Jun
mirage19–17-0.0912%22 Jun
mirage13–6-0.0019%22 Jun
mirage14–16-0.069%13 Jun
mirage9–13-0.058%12 Jun
mirage13–10.0111%12 Jun
ancient13–8-0.0021%6 Jun
mirage10–13-0.0611%6 Jun
dust28–13-0.0416%6 Jun
mirage13–11-0.0819%29 May
mirage13–11-0.064%29 May
cache7–13-0.078%26 May
cache13–10-0.0410%26 May
mirage13–10-0.0622%25 May
cache13–90.0612%25 May
mirage13–4-0.027%25 May
mirage10–13-0.107%25 May
ancient14–16-0.0112%21 May
mirage7–13-0.0714%21 May
dust213–5-0.0511%21 May
mirage13–8-0.048%6 May
cache13–3-0.0214%6 May
mirage13–7-0.094%6 May
dust213–10-0.0228%6 May
mirage13–7-0.0927%5 May
cache8–13-0.1121%5 May
cache13–6-0.1515%5 May
cache13–10-0.106%4 May
cache14–16-0.0717%4 May
anubis13–8-0.079%2 May
ancient9–13-0.0310%2 May
mirage13–8-0.0329%29 Apr
ancient13–8-0.0013%29 Apr
dust215–19-0.0523%29 Apr
dust213–8-0.0413%25 Apr
cache13–11-0.0536%25 Apr
mirage13–11-0.0517%25 Apr
mirage13–5-0.066%25 Apr
mirage7–13-0.0318%17 Apr
ancient14–16-0.0815%17 Apr
mirage13–11-0.0614%16 Apr
inferno10–13-0.0813%15 Apr
ancient13–11-0.0516%14 Apr
ancient3–13-0.064%14 Apr
mirage10–13-0.0520%13 Apr
mirage6–13-0.124%11 Apr
mirage13–11-0.057%11 Apr
ancient6–13-0.1015%8 Apr
dust219–16-0.0526%7 Apr
nuke5–13-0.0817%7 Apr
ancient13–9-0.0115%3 Apr
mirage13–3-0.098%3 Apr
anubis19–16-0.088%3 Apr
nuke13–10-0.1113%2 Apr
anubis13–60.0027%28 Mar
mirage11–13-0.055%28 Mar
ancient13–10.0122%15 Jan
ancient7–13-0.078%15 Jan
ancient8–130.0018%14 Jan
mirage11–13-0.1117%10 Jan
mirage11–13-0.0810%10 Jan
mirage9–13-0.0615%10 Jan
mirage11–13-0.053%10 Jan
dust28–13-0.0813%10 Jan
ancient4–13-0.086%9 Jan
mirage11–13-0.0715%3 Jan
ancient13–10-0.0812%3 Jan
mirage16–13-0.0618%3 Jan
mirage16–19-0.0616%3 Jan
ancient6–13-0.0718%3 Jan
ancient13–9-0.0115%3 Jan
nuke13–7-0.0212%27 Dec
mirage9–13-0.1056%27 Dec
dust213–9-0.076%27 Dec
mirage13–80.0329%27 Dec
dust28–13-0.0427%27 Dec
inferno8–13-0.0928%27 Dec
nuke2–6-0.038%20 Dec
train13–10-0.029%4 Dec
mirage13–11-0.0424%4 Dec
mirage11–13-0.0327%29 Nov
mirage8–13-0.0712%11 Oct
nuke3–13-0.0323%11 Oct
mirage13–100.0215%4 Sept
mirage11–13-0.0628%4 Sept
mirage16–14-0.0324%2 Sept

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 →