Rated R Superstar — CS2 Stats

76561198227328776[U:1:267063048]

620Tracked matches59%Win rate2023Tracked since
CSDB Rating5.1 DevelopingHybrid Rifler
Premier CS Rating10,538Blue band · top ~52% of ranked players (population est.)
CSDB Leaderboard#18431 of 25399 tracked
Ladder ranks via Leetify

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CSDB.GGRated R SuperstarPREMIER10,538 · Blue bandcsdb.gg/stats

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Performance scores

Aim60
Positioning44
Utility66

0–100 skill scores via Leetify.

Recent form

HOT54424Last 10054%Win rateWLWLWWWLWW

Last 10 vs previous 10: +0pp win rate · -0.00 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.0
Aggression4.7
Utility6.6
Positioning4.4
Opening Duels1.0
Clutch3.6

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 87% playstyle similarity

Most alike: opening-fight frequency, utility contribution.

Where you differ: lower positioning profile; 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

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

Aim6.0
Positioning4.4
Utility6.6
Mechanics5.4
Opening Duels1.0
Win Impact7.9

Composite 5.1/10 (Developing), 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-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time584ms−102ms
first ⅓ avg 686ms → last ⅓ avg 584ms
Headshot accuracy12.1%−2.0%
first ⅓ avg 14.1% → last ⅓ avg 12.1%

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 — dust2 7–0
131Biggest win — cache
7Longest win streak
810In matches decided by ≤2 rounds
10Overtime games

Map breakdown

cacheBest map · 90% over 10infernoWeakest map · 44% over 16
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%-0.01
ancientB178947%-0.02
infernoC167944%-0.01
mirageC167944%-0.02
cacheS109190%-0.02
nukeA95456%-0.02
anubisS86275%-0.03
train21150%0.02

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (44% over 16). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

21Matches
29%Win rate
0.56Avg K/D
57.4ADR
42%Headshot %

Clutches & streaks

38%1v1 clutch win
27%1v2 clutch win
2Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage633%0.619.2
Ancient425%0.6211.5
Dust2450%0.5911.0
Train30%0.356.3
Inferno250%0.5816.0
Overpass10%0.397.0
Anubis10%0.6517.0

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.

12.5%Headshot accuracy
37.0%Accuracy (enemy spotted)
41.4%Spray accuracy
74.1%Counter-strafing
11.5°Preaim
581msReaction time
32.3%T opening success
35.3%CT opening success
0.66Enemies flashed / flash
10.7%Flash assists
8.39HE damage / grenade
12.17Flashes / 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 12.5148% — below the 15% mark we flag

    Aim Training
  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 32.2797% — below the 40% mark we flag

Spend your practice time on Inferno

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

44% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust216–13-0.0313%26 Aug
ancient8–13-0.087%26 Aug
dust27–00.1515%24 Aug
inferno9–130.0012%22 Aug
inferno19–170.0217%21 Aug
dust213–70.0117%21 Aug
ancient13–50.027%21 Aug
dust213–160.0117%20 Aug
mirage13–40.0613%20 Aug
dust213–5-0.0415%20 Aug
dust213–90.0418%19 Aug
mirage13–80.0213%19 Aug
mirage13–110.1011%19 Aug
inferno2–13-0.047%19 Aug
ancient13–100.0114%19 Aug
dust213–2-0.0210%19 Aug
dust212–12-0.0117%17 Aug
dust213–70.048%17 Aug
dust213–90.0213%17 Aug
inferno1–8-0.0210%17 Aug
dust25–13-0.0810%17 Aug
dust24–13-0.0825%17 Aug
mirage11–13-0.0111%16 Aug
cache13–90.0311%16 Aug
inferno16–12-0.038%16 Aug
dust29–13-0.0612%16 Aug
inferno13–110.0211%16 Aug
ancient4–13-0.062%16 Aug
inferno14–16-0.0113%15 Aug
ancient4–13-0.0311%15 Aug
cache13–5-0.086%14 Aug
mirage9–13-0.0413%14 Aug
anubis13–70.0110%14 Aug
cache5–13-0.035%13 Aug
nuke6–13-0.063%13 Aug
anubis13–110.0111%13 Aug
dust211–130.0511%13 Aug
cache13–30.0430%13 Aug
dust28–13-0.007%13 Aug
dust26–13-0.065%12 Aug
mirage9–1-0.0611%12 Aug
inferno12–12-0.015%12 Aug
mirage4–13-0.0620%12 Aug
dust22–13-0.1014%12 Aug
train13–60.029%12 Aug
inferno6–130.0320%12 Aug
cache13–5-0.027%12 Aug
mirage15–150.0515%12 Aug
mirage13–9-0.022%12 Aug
ancient13–50.0412%11 Aug
nuke10–13-0.0210%10 Aug
mirage4–13-0.084%10 Aug
anubis6–13-0.029%10 Aug
anubis13–2-0.0910%10 Aug
ancient8–130.0013%9 Aug
ancient13–10-0.025%9 Aug
inferno13–40.0717%6 Aug
nuke6–13-0.032%6 Aug
dust213–2-0.056%6 Aug
mirage14–16-0.0811%6 Aug
anubis13–9-0.0411%6 Aug
ancient13–10-0.047%6 Aug
ancient6–13-0.049%6 Aug
inferno15–150.009%6 Aug
ancient6–13-0.0912%6 Aug
dust211–13-0.0113%6 Aug
anubis13–100.0223%5 Aug
dust211–13-0.0511%5 Aug
mirage11–130.0318%5 Aug
cache13–1-0.0212%5 Aug
inferno7–13-0.0124%4 Aug
inferno13–9-0.0414%4 Aug
anubis11–13-0.0814%30 Jul
cache13–100.0621%30 Jul
nuke13–9-0.0222%30 Jul
ancient6–13-0.0014%30 Jul
cache16–14-0.0213%30 Jul
inferno13–3-0.0522%30 Jul
ancient13–8-0.0614%30 Jul
mirage9–13-0.0318%30 Jul
nuke11–13-0.0011%30 Jul
anubis13–6-0.064%30 Jul
ancient13–11-0.048%30 Jul
cache13–5-0.074%30 Jul
nuke13–9-0.0123%30 Jul
train8–130.029%29 Jul
dust213–40.0321%29 Jul
nuke13–7-0.0212%29 Jul
mirage3–13-0.094%22 Jul
ancient6–130.018%22 Jul
inferno14–16-0.0413%22 Jul
cache13–10-0.0511%22 Jul
ancient8–130.0819%22 Jul
dust213–110.0611%22 Jul
inferno13–8-0.0117%21 Jul
nuke13–110.0116%21 Jul
nuke13–9-0.0311%21 Jul
mirage13–9-0.077%21 Jul
mirage13–80.0222%21 Jul
ancient13–5-0.0317%21 Jul

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 →