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SADcatS — CS2 Stats

76561198879064493[U:1:918798765]

1,690Tracked matches33%Win rate2021Tracked since
CSDB Rating3.8 Learning
Premier CS Rating18,370Purple band · top ~15% of ranked players (population est.)
CSDB Leaderboard#12209 of 23897 tracked
FaceitLevel 5Top 67.6% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGSADcatSFACEITLevel 5STANDINGTop 67.6% of rankedPREMIER18,370 · Purple bandcsdb.gg/stats

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Performance scores

Aim40
Positioning31
Utility63

0–100 skill scores via Leetify.

Recent form

COLD43–47–10Last 10043%Win rateLLTTWTWWLL

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

Player DNA

Aim4.0
Aggression0.5
Utility6.3
Positioning3.1
Opening Duels0.0
Clutch3.2

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 71% playstyle similarity

Most alike: utility contribution, opening-duel success.

Where you differ: lower opening-fight frequency; 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

Strengths

Flashes. 0.89 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 707ms 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

Aim4.0
Positioning3.1
Utility6.3
Mechanics7.1
Opening Duels0.0
Win Impact0.0

Composite 3.8/10 (Learning), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating-0.04−0.00
first ⅓ avg -0.04 → last ⅓ avg -0.04
Reaction time700ms+32ms
first ⅓ avg 668ms → last ⅓ avg 700ms
Headshot accuracy13.6%+0.2%
first ⅓ avg 13.4% → last ⅓ avg 13.6%

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

0.06Best rating — dust2 13–9
13–1Biggest win — dust2
5Longest win streak
L2Current streak
7–5In matches decided by ≤2 rounds
4Overtime games

Map breakdown

infernoBest map · 55% over 11dust2Weakest map · 39% over 72
MapGradePlayedRecordWin rateAvg rating
dust2C7228–4439%-0.04
infernoA116–555%-0.03
nukeC52–340%-0.06
overpass—44–0100%-0.03
anubis—31–233%-0.04
cache—10–10%-0.06
train—11–0100%-0.02
vertigo—10–10%-0.09
office—10–10%-0.09
ancient—11–0100%-0.07

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (39% over 72). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

162Matches
51%Win rate
0.85Avg K/D
52.5ADR
29%Headshot %

Clutches & streaks

36%1v1 clutch win
7%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust21765%0.7210.4
Vertigo1669%0.8512.3
Nuke1377%1.099.5
Ancient1354%0.8713.6
Inferno1250%0.559.1
Overpass862%0.9410.1
Mirage520%0.487.4
Anubis450%0.9113.0

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.

14.0%Headshot accuracy
29.1%Accuracy (enemy spotted)
31.0%Spray accuracy
82.1%Counter-strafing
10.3°Preaim
707msReaction time
15.5%T opening success
25.5%CT opening success
0.89Enemies flashed / flash
7.0%Flash assists
6.08HE damage / grenade
10.59Flashes / 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 13.9612% — below the 15% mark we flag

    Aim Training →
  2. Best CS2 Settings

    Slow first shots are as often a setup problem as a reflex one — framerate, sensitivity and crosshair visibility all move this number.

    Reaction time 706.886ms — above the 700ms mark we flag

    Aim Training →
  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 15.5372% — below the 40% mark we flag

Spend your practice time on Dust 2

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

39% win rate across 72 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–13-0.046%22 Jun →
dust24–13-0.0913%5 Jun →
dust212–12-0.0511%5 Jun →
dust212–12-0.0410%4 Jun →
dust213–2-0.0612%4 Jun →
dust212–12-0.0313%4 Jun →
dust213–10-0.047%29 May →
dust213–3-0.0415%29 May →
dust26–13-0.0526%29 May →
dust26–13-0.058%29 May →
dust211–13-0.0516%23 May →
dust210–13-0.0518%23 May →
dust25–13-0.0517%23 May →
dust213–90.0212%22 May →
dust28–13-0.0727%22 May →
cache12–12-0.0612%16 May →
dust212–12-0.0116%16 May →
dust27–130.019%8 Apr →
dust25–13-0.0517%6 Apr →
dust22–13-0.0620%5 Apr →
dust27–13-0.0712%4 Apr →
dust26–13-0.115%4 Apr →
dust213–6-0.0620%4 Apr →
dust29–13-0.026%31 Mar →
dust213–9-0.1120%29 Mar →
dust25–13-0.0315%27 Mar →
dust212–120.0416%27 Mar →
overpass13–50.0516%15 Mar →
train13–7-0.0215%15 Mar →
dust26–13-0.0513%14 Mar →
vertigo3–13-0.0910%14 Mar →
inferno13–5-0.040%14 Mar →
office4–13-0.0917%14 Mar →
nuke3–13-0.1014%14 Mar →
dust213–10-0.017%14 Mar →
dust212–120.0117%14 Mar →
inferno13–9-0.049%14 Mar →
dust213–11-0.0710%14 Mar →
dust213–11-0.050%14 Mar →
ancient16–13-0.077%12 Mar →
dust28–13-0.046%12 Mar →
dust28–13-0.049%12 Mar →
dust21–13-0.1211%12 Mar →
dust214–16-0.0519%10 Mar →
nuke4–13-0.050%10 Mar →
inferno4–13-0.075%10 Mar →
anubis4–13-0.1025%10 Mar →
nuke3–13-0.0618%10 Mar →
anubis13–8-0.008%10 Mar →
dust27–13-0.0912%10 Mar →
overpass13–6-0.0412%10 Mar →
dust213–9-0.0012%10 Mar →
dust213–20.0515%9 Mar →
dust24–13-0.1018%9 Mar →
dust25–13-0.056%9 Mar →
dust213–11-0.0521%9 Mar →
dust213–50.0211%9 Mar →
dust213–8-0.0317%9 Mar →
dust216–14-0.0115%5 Mar →
dust22–13-0.0927%3 Mar →
overpass13–9-0.104%3 Mar →
inferno13–10-0.0017%3 Mar →
dust213–5-0.0215%3 Mar →
dust213–11-0.036%2 Mar →
overpass13–5-0.053%2 Mar →
anubis4–13-0.0213%2 Mar →
inferno13–9-0.0218%2 Mar →
dust215–15-0.0413%1 Mar →
inferno10–130.0123%1 Mar →
dust213–1-0.0021%1 Mar →
dust25–13-0.0519%1 Mar →
dust213–6-0.045%27 Feb →
dust213–6-0.0612%26 Feb →
dust210–13-0.0521%24 Feb →
inferno3–13-0.043%24 Feb →
dust211–130.0115%24 Feb →
dust213–7-0.0015%23 Feb →
dust212–12-0.0914%23 Feb →
dust213–7-0.056%22 Feb →
nuke13–7-0.0719%22 Feb →
dust213–11-0.018%22 Feb →
dust213–70.0011%22 Feb →
dust24–13-0.1012%12 Feb →
nuke13–4-0.043%11 Feb →
dust213–11-0.064%11 Feb →
inferno3–13-0.0620%10 Feb →
dust213–90.0616%10 Feb →
inferno1–13-0.1218%7 Feb →
dust211–13-0.0511%7 Feb →
inferno13–20.0211%6 Feb →
dust25–13-0.0620%5 Feb →
dust25–13-0.0817%4 Feb →
dust212–12-0.0514%31 Jan →
dust211–130.0217%31 Jan →
dust26–13-0.0720%28 Jan →
dust213–6-0.0619%28 Jan →
dust28–13-0.0810%25 Jan →
dust213–8-0.020%25 Jan →
dust24–13-0.094%25 Jan →
inferno13–80.0218%25 Jan →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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