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SUPERRR — CS2 Stats

76561197993811430[U:1:33545702]

750Tracked matches55%Win rate2023Tracked since
1,466Hours in CS102Hrs last 2 wks
CSDB Rating6.0 SolidHybrid Rifler
Premier CS Rating24,309Top 50% of 819 CSDB-tracked playersPink band · top ~3.8% of ranked players (population est.)
CSDB Leaderboard#2991 of 14900 tracked
FaceitLevel 8Top 31.2% of ranked FACEIT players
WingmanGold Nova III
Ladder ranks via Leetify

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CSDB.GGSUPERRRFACEITLevel 8STANDINGTop 31.2% of rankedPREMIER24,309 · Pink bandcsdb.gg/stats

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Performance scores

Aim76
Positioning51
Utility64

0–100 skill scores via Leetify.

Recent form

STEADY52–43–5Last 10052%Win rateLWLLWWLWLW

Last 10 vs previous 10: -10pp win rate · -0.06 avg rating

Player DNA

Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.

Aim7.6
Aggression5.1
Utility6.4
Positioning5.1
Opening Duels1.4
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 93% playstyle similarity

Most alike: utility contribution, opening-fight frequency.

Where you differ: lower aim profile.

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

CSDB Rating breakdown

Aim7.6
Positioning5.1
Utility6.4
Mechanics5.5
Opening Duels1.4
Win Impact6.7

Composite 6.0/10 (Solid), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.03
first ⅓ avg 0.06 → last ⅓ avg 0.03
Reaction time550ms−40ms
first ⅓ avg 590ms → last ⅓ avg 550ms
Headshot accuracy14.7%−2.8%
first ⅓ avg 17.5% → last ⅓ avg 14.7%

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

0.29Best rating — train 5–1
13–1Biggest win — nuke
9Longest win streak
10–6In matches decided by ≤2 rounds
6Overtime games

Map breakdown

infernoBest map · 72% over 18anubisWeakest map · 40% over 10
MapGradePlayedRecordWin rateAvg rating
mirageC2310–1343%0.04
dust2A2212–1055%0.03
infernoS1813–572%0.03
ancientB105–550%-0.00
anubisC104–640%0.03
trainB63–350%0.11
nukeB63–350%0.05
cacheC52–340%0.06

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (40% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

38,838Lifetime kills
0.92K/D
1,714Matches
40.5%Match win rate
48.3%Headshot % · Top 50% of Pink band
6.0%Shot accuracy
3,964MVPs
748Hours (in match)
2,242Bombs planted
564Bombs defused

Most-used weapons

AK-4712,106
M4A4 / M4A1-S9,318
AWP3,625
P2000 / USP-S2,678
Desert Eagle2,308
Glock-181,831
P901,145
Galil AR863
FAMAS761
MAC-10754

Lifetime map wins

4,254dust2
3,121inferno
1,108nuke
322train
171cbble
80vertigo
10lake
5safehouse

Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.

Faceit stats

Combat

344Matches
50%Win rate
1.12Avg K/D
80.7ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
25%1v2 clutch win
8Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Dust212160%1.2116.9
Mirage7545%1.0416.0
Inferno6851%1.1217.2
Ancient4553%1.0916.7
Nuke1429%1.1917.9
Anubis128%0.7613.8
Cache838%1.2317.6
Overpass10%0.507.0

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.

14.9%Headshot accuracy
40.2%Accuracy (enemy spotted)
41.7%Spray accuracy
74.9%Counter-strafing
10.2°Preaim
546msReaction time
36.9%T opening success
34.5%CT opening success
0.56Enemies flashed / flash
5.0%Flash assists
11.76HE damage / grenade
10.75Flashes / 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. 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 14.8782% — 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 36.9243% — below the 40% mark we flag

Spend your practice time on Anubis

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

40% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
dust27–130.0018%27 Aug →
dust213–100.0125%27 Aug →
dust28–13-0.0124%26 Aug →
ancient10–13-0.0214%25 Aug →
dust213–10-0.0227%24 Aug →
inferno13–10-0.0714%24 Aug →
inferno7–13-0.0711%23 Aug →
dust213–30.036%23 Aug →
inferno8–130.1417%22 Aug →
dust213–20.2321%22 Aug →
mirage8–130.128%22 Aug →
ancient13–100.1010%22 Aug →
cache12–120.0417%21 Aug →
train5–10.2915%21 Aug →
anubis13–100.108%21 Aug →
mirage13–50.1317%21 Aug →
inferno13–9-0.0511%19 Aug →
dust25–13-0.0818%18 Aug →
anubis8–130.0117%17 Aug →
train13–80.1916%17 Aug →
inferno6–13-0.059%16 Aug →
mirage13–90.057%16 Aug →
dust210–13-0.0418%16 Aug →
ancient13–100.0613%16 Aug →
dust211–13-0.0316%16 Aug →
inferno13–110.0116%15 Aug →
nuke13–10.0013%15 Aug →
mirage11–130.0614%14 Aug →
dust24–130.0018%14 Aug →
ancient13–11-0.0410%14 Aug →
mirage16–140.0417%14 Aug →
dust27–13-0.0511%14 Aug →
cache4–13-0.0211%14 Aug →
nuke6–13-0.0315%14 Aug →
dust213–11-0.0510%13 Aug →
anubis15–19-0.0119%12 Aug →
mirage13–110.0311%12 Aug →
mirage6–13-0.0713%12 Aug →
inferno13–11-0.0321%11 Aug →
inferno13–10-0.0111%11 Aug →
mirage13–16-0.0115%11 Aug →
inferno13–10-0.019%10 Aug →
anubis11–13-0.0522%10 Aug →
ancient13–9-0.0716%10 Aug →
mirage6–130.0115%10 Aug →
ancient7–13-0.0315%9 Aug →
inferno13–60.0416%9 Aug →
train3–130.019%8 Aug →
cache5–130.0623%8 Aug →
dust212–120.0214%8 Aug →
mirage13–110.0624%8 Aug →
mirage13–30.1116%8 Aug →
dust213–8-0.0120%8 Aug →
mirage6–130.0117%7 Aug →
dust213–110.1425%7 Aug →
train7–130.0416%7 Aug →
inferno11–130.0414%7 Aug →
ancient11–13-0.0212%7 Aug →
mirage13–160.0413%6 Aug →
mirage11–13-0.0615%6 Aug →
inferno13–40.0916%5 Aug →
anubis13–90.0210%5 Aug →
inferno13–50.0320%5 Aug →
mirage8–130.1017%3 Aug →
mirage2–13-0.050%3 Aug →
ancient12–120.038%1 Aug →
mirage13–80.0929%1 Aug →
train13–60.0716%31 Jul →
dust26–130.1624%31 Jul →
anubis12–120.0614%31 Jul →
ancient13–40.019%31 Jul →
nuke13–8-0.0111%31 Jul →
mirage13–70.0413%31 Jul →
cache13–70.0815%31 Jul →
ancient3–13-0.0324%31 Jul →
dust213–70.0116%31 Jul →
inferno13–40.0418%31 Jul →
dust213–80.1724%31 Jul →
anubis9–20.0811%31 Jul →
mirage13–70.1112%30 Jul →
inferno13–60.2428%30 Jul →
nuke13–110.2415%30 Jul →
anubis13–70.0510%30 Jul →
inferno13–40.1127%29 Jul →
mirage10–130.1513%29 Jul →
dust25–130.0115%29 Jul →
mirage12–12-0.0113%29 Jul →
cache13–80.1518%29 Jul →
dust213–50.1332%29 Jul →
nuke8–130.1424%29 Jul →
inferno3–130.0315%28 Jul →
train10–130.0722%28 Jul →
anubis9–13-0.0415%27 Jul →
dust216–14-0.0321%27 Jul →
mirage4–13-0.0720%26 Jul →
nuke9–13-0.0216%26 Jul →
inferno13–40.0022%26 Jul →
mirage13–70.0414%26 Jul →
dust216–12-0.0410%26 Jul →
anubis5–130.0821%26 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 →

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