QueensNY-A- — CS2 Stats

76561198851915411[U:1:891649683]

1,949Tracked matches41%Win rate2020Tracked since
1,425Hours in CS
CSDB Rating4.6 DevelopingHybrid Rifler
FaceitLevel 6 · 1,236 ELOTop 54.0% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGQueensNY-A-FACEITLevel 6 · 1,236 ELOSTANDINGTop 54.0% of rankedcsdb.gg/stats

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Performance scores

Aim62
Positioning59
Utility61

0–100 skill scores via Leetify.

Recent form

STEADY53461Last 10053%Win rateWLLWWWLLLL

Last 10 vs previous 10: +0pp win rate · -0.03 avg rating

Player DNA

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

Aim6.2
Aggression4.8
Utility6.1
Positioning5.9
Opening Duels2.8
Clutch3.4

Strong CT-side opener

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 91% playstyle similarity

Most alike: opening-fight frequency, positioning profile.

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 →

Strengths & areas to improve

Areas to improve

T-side openings. Opening success drops from 49% on CT to 33% on T — the same duels are being taken with worse setups on the attacking side.

Counter-strafing. Only 69% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim6.2
Positioning5.9
Utility6.1
Mechanics4.3
Opening Duels2.8
Win Impact2.1

Composite 4.6/10 (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 rating-0.01−0.00
first ⅓ avg -0.01 → last ⅓ avg -0.01
Reaction time516ms−7ms
first ⅓ avg 523ms → last ⅓ avg 516ms
Headshot accuracy13.6%−5.1%
first ⅓ avg 18.7% → 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

0.09Best rating — dust2 13–4
131Biggest win — anubis
7Longest win streak
1010In matches decided by ≤2 rounds
17Overtime games

Map breakdown

infernoBest map · 71% over 21mirageWeakest map · 33% over 6
MapGradePlayedRecordWin rateAvg rating
infernoS2115671%0.01
dust2A2012860%-0.00
ancientB1991047%-0.01
anubisB147750%-0.03
nukeA95456%-0.00
cacheC73443%-0.02
mirageD62433%0.01
overpass3030%-0.02
train1010%-0.02

Across the last 100 tracked matches.

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

Lifetime stats

55,632Lifetime kills
0.93K/D
3,292Matches
42.8%Match win rate
40.5%Headshot %
7.2%Shot accuracy
6,331MVPs
1,425Hours (in match)
4,498Bombs planted
870Bombs defused

Most-used weapons

MAG-710,445
AWP8,887
AK-477,174
XM10143,474
MAC-103,033
Negev2,673
Knife1,721

Lifetime map wins

13,598inferno
5,224dust2
2,256nuke
1,264train
404vertigo
31office
16cbble
15ar_shoots

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

Faceit stats

Combat

1,980Matches
49%Win rate
0.99Avg K/D
74.9ADR
50%Headshot %

Clutches & streaks

37%1v1 clutch win
19%1v2 clutch win
10Longest win streak

Recent Faceit resultsLLLWL

MapMatchesWin rateAvg K/DAvg kills
Inferno44253%1.0915.8
Dust241350%0.9714.6
Ancient33845%0.9215.3
Anubis20850%0.9615.3
Nuke19547%1.0516.2
Mirage17142%0.9313.9
Train9147%0.9215.8
Overpass5452%0.9615.0

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.

14.3%Headshot accuracy
34.9%Accuracy (enemy spotted)
42.6%Spray accuracy
69.1%Counter-strafing
11.5°Preaim
521msReaction time
32.6%T opening success
49.5%CT opening success
0.69Enemies flashed / flash
14.3%Flash assists
10.38HE damage / grenade
10.43Flashes / 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 14.2622% — 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 32.6234% — below the 40% mark we flag

Spend your practice time on Mirage

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.

Mirage callouts & strategyMirage grenade lineups

Recent matches

MapScoreRatingHS%Date
anubis13–10-0.0529%25 Aug
anubis1–13-0.0710%25 Aug
nuke10–130.0910%25 Aug
anubis13–1-0.0011%24 Aug
anubis13–3-0.0419%24 Aug
ancient13–7-0.0021%24 Aug
ancient6–13-0.1018%24 Aug
mirage10–13-0.049%22 Aug
mirage9–13-0.0527%22 Aug
dust28–13-0.0416%20 Aug
ancient15–19-0.0316%19 Aug
cache14–16-0.0118%19 Aug
dust213–80.0115%19 Aug
mirage6–130.018%19 Aug
ancient6–130.0227%18 Aug
nuke1–13-0.060%17 Aug
dust213–30.036%16 Aug
ancient13–30.0829%16 Aug
nuke16–130.0127%8 Aug
dust210–13-0.065%8 Aug
mirage13–90.0711%8 Aug
dust28–13-0.0214%3 Aug
ancient10–130.0114%30 Jul
nuke13–9-0.028%30 Jul
nuke5–13-0.025%26 Jul
dust213–110.0015%26 Jul
inferno13–110.0513%25 Jul
inferno7–130.0417%20 Jul
train12–12-0.020%20 Jul
inferno10–13-0.010%12 Jul
cache14–16-0.060%6 Jul
dust213–70.037%6 Jul
inferno10–13-0.0127%5 Jul
inferno8–13-0.0318%4 Jul
ancient19–16-0.0021%4 Jul
inferno13–11-0.0412%30 Jun
nuke13–40.0315%29 Jun
ancient13–50.0619%28 Jun
overpass7–13-0.0619%28 Jun
cache23–250.0119%28 Jun
anubis8–130.004%28 Jun
anubis16–140.0318%26 Jun
dust213–40.0913%24 Jun
anubis13–8-0.0316%21 Jun
dust213–100.0224%21 Jun
ancient7–13-0.074%20 Jun
inferno13–70.0215%20 Jun
inferno13–90.0532%20 Jun
anubis4–13-0.078%19 Jun
ancient16–13-0.0126%15 Jun
inferno13–10.0517%10 Jun
anubis7–13-0.0112%8 Jun
dust213–10-0.0317%7 Jun
dust213–70.0529%7 Jun
ancient16–140.0020%7 Jun
dust217–190.0017%7 Jun
dust213–40.0925%2 Jun
cache25–21-0.0517%31 May
nuke13–8-0.0320%30 May
inferno13–100.0029%30 May
inferno13–60.0213%30 May
inferno13–70.078%26 May
anubis13–8-0.0914%26 May
overpass11–13-0.0120%25 May
cache11–13-0.0813%24 May
nuke13–8-0.0217%23 May
mirage10–13-0.0119%23 May
ancient17–190.0211%23 May
ancient13–11-0.017%18 May
ancient13–16-0.0221%17 May
nuke7–130.010%17 May
dust216–13-0.0211%17 May
inferno13–11-0.0010%17 May
ancient13–11-0.0123%17 May
dust213–70.0211%17 May
dust26–13-0.0742%10 May
anubis12–16-0.0713%8 May
anubis7–130.0114%3 May
cache13–80.017%2 May
inferno13–8-0.00100%30 Apr
dust211–13-0.0222%30 Apr
dust29–130.0414%30 Apr
ancient13–110.0516%26 Apr
inferno13–110.006%26 Apr
inferno13–50.020%25 Apr
cache13–70.0513%25 Apr
anubis9–130.0233%23 Apr
dust23–13-0.1212%17 Apr
mirage13–60.084%12 Apr
ancient8–13-0.037%11 Apr
ancient11–13-0.050%6 Apr
ancient11–13-0.0810%5 Apr
inferno16–13-0.0021%5 Apr
inferno10–13-0.086%1 Apr
overpass7–130.0110%23 Mar
anubis13–100.0250%23 Mar
dust213–6-0.0040%22 Mar
inferno13–50.0040%21 Mar
inferno13–40.0333%21 Mar
inferno13–16-0.0013%20 Mar

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 →