AUSBOO — CS2 Stats

76561199143908231[U:1:1183642503]

847Tracked matches45%Win rate2024Tracked since
CSDB Rating4.1 Developing
Premier CS Rating9,655Light Blue band · top ~56.5% of ranked players (population est.)
CSDB Leaderboard#13814 of 18656 tracked
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGAUSBOOFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER9,655 · Light Blue bandcsdb.gg/stats

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Performance scores

Aim53
Positioning41
Utility39

0–100 skill scores via Leetify.

Recent form

STEADY50437Last 10050%Win rateLWWLLLWLWL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim5.3
Aggression4.4
Utility3.9
Positioning4.1
Opening Duels1.6
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 82% 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

T-side openings. Opening success drops from 48% on CT to 25% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 581ms 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

Aim5.3
Positioning4.1
Utility3.9
Mechanics7.1
Opening Duels2.2
Win Impact3.3

Composite 4.1/10 (Developing), 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 rating0.00−0.03
first ⅓ avg 0.03 → last ⅓ avg 0.00
Reaction time577ms−22ms
first ⅓ avg 599ms → last ⅓ avg 577ms
Headshot accuracy10.8%−1.0%
first ⅓ avg 11.8% → last ⅓ avg 10.8%

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.

Highlights

0.20Best rating — train 13–0
130Biggest win — train
6Longest win streak
56In matches decided by ≤2 rounds
3Overtime games

Map breakdown

nukeBest map · 72% over 18cacheWeakest map · 29% over 7
MapGradePlayedRecordWin rateAvg rating
mirageB27131448%0.02
dust2C1881044%0.03
nukeS1813572%0.05
infernoC135838%0.01
trainB84450%0.06
cacheD72529%0.00
anubisS64267%0.02
ancient31233%-0.02

Across the last 100 tracked matches.

Faceit stats

Combat

1Matches
0%Win rate
0.53Avg K/D
66.8ADR
38%Headshot %

Clutches & streaks

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

Recent Faceit resultsLLLLL

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.

10.8%Headshot accuracy
33.6%Accuracy (enemy spotted)
35.2%Spray accuracy
81.9%Counter-strafing
11.9°Preaim
581msReaction time
24.7%T opening success
47.9%CT opening success
0.39Enemies flashed / flash
8.7%Flash assists
8.11HE damage / grenade
5.17Flashes / 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 10.7564% — 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 0.3875 — 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 24.6504% — 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.

29% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
mirage3–10-0.009%28 Aug
inferno13–80.0116%24 Aug
inferno13–80.0120%13 Aug
cache3–13-0.0913%13 Aug
cache2–7-0.039%13 Aug
dust210–130.0423%13 Aug
anubis13–90.014%13 Aug
ancient3–13-0.0415%7 Aug
anubis13–110.0211%3 Aug
mirage6–13-0.0111%2 Aug
cache5–13-0.046%2 Aug
mirage4–13-0.0110%2 Aug
mirage15–150.007%29 Jul
inferno5–13-0.117%29 Jul
nuke13–100.0010%28 Jul
ancient13–90.019%26 Jul
mirage13–60.1212%26 Jul
inferno13–6-0.0015%26 Jul
dust213–8-0.018%26 Jul
nuke13–20.034%22 Jul
inferno7–130.0210%22 Jul
mirage11–13-0.0212%19 Jul
mirage8–130.086%18 Jul
mirage13–11-0.0111%18 Jul
dust27–13-0.0310%17 Jul
mirage8–13-0.0710%17 Jul
dust213–7-0.015%16 Jul
mirage13–80.0714%12 Jul
ancient11–13-0.038%12 Jul
dust23–13-0.0817%12 Jul
cache13–10.1515%12 Jul
nuke13–100.015%12 Jul
dust213–40.1213%12 Jul
dust216–140.1214%11 Jul
dust29–130.0812%11 Jul
dust213–50.1211%11 Jul
cache5–13-0.038%11 Jul
dust210–13-0.0311%11 Jul
dust213–10-0.0615%11 Jul
inferno4–13-0.029%11 Jul
cache13–70.0515%11 Jul
anubis13–60.056%10 Jul
inferno4–130.0320%10 Jul
anubis13–40.0323%10 Jul
cache14–160.029%10 Jul
dust24–130.0318%10 Jul
anubis8–13-0.0221%10 Jul
anubis6–130.028%10 Jul
mirage13–8-0.005%9 Jul
mirage13–50.1416%9 Jul
dust213–60.1118%9 Jul
inferno11–130.058%7 Jul
train12–120.0214%7 Jul
nuke3–130.0314%7 Jul
mirage13–40.179%6 Jul
mirage13–30.0812%6 Jul
mirage5–130.046%6 Jul
train13–100.039%6 Jul
dust213–90.0613%6 Jul
mirage8–130.047%6 Jul
nuke11–130.0612%5 Jul
nuke13–70.0913%5 Jul
mirage12–12-0.008%5 Jul
nuke13–2-0.034%5 Jul
nuke13–20.046%1 Jul
nuke7–00.178%1 Jul
dust210–13-0.013%1 Jul
inferno13–90.069%1 Jul
mirage7–13-0.049%29 Jun
nuke7–130.0416%29 Jun
nuke8–20.1018%28 Jun
inferno3–13-0.0217%28 Jun
nuke4–10.0112%27 Jun
mirage11–130.0110%27 Jun
train13–00.2013%27 Jun
mirage13–4-0.0211%26 Jun
mirage13–60.0210%25 Jun
nuke13–110.079%24 Jun
inferno4–130.0712%23 Jun
train13–70.098%22 Jun
nuke13–90.058%22 Jun
mirage13–20.0711%22 Jun
dust27–13-0.018%22 Jun
dust28–130.0220%22 Jun
mirage13–60.039%21 Jun
dust212–120.0014%21 Jun
mirage9–13-0.017%21 Jun
nuke7–130.0811%19 Jun
nuke13–00.0219%18 Jun
train13–10-0.0111%18 Jun
inferno8–80.017%17 Jun
inferno13–90.008%17 Jun
mirage0–13-0.0212%17 Jun
train12–120.0710%17 Jun
train9–130.0411%17 Jun
nuke13–110.077%16 Jun
mirage13–6-0.018%16 Jun
mirage13–0-0.0012%16 Jun
nuke4–130.0530%15 Jun
train12–120.0313%15 Jun

Match data via Leetify.

Recent teammates

Milestones

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