༼ つ ◕_◕ ༽つ

༼ つ ◕_◕ ༽つ — CS2 Stats

76561198108334501[U:1:148068773]Steam profile ↗✓ No bans

407Tracked matches57%Win rate2020Tracked since
CSDB Rating6.2 SolidAll-Rounder
FaceitLevel 1Top 100.0% of ranked FACEIT players
WingmanGold Nova II
Ladder ranks via Leetify

Rating over time

Premier CS Rating: 9,989 -3,735 4 Apr – 10 Jun · 29 days played
7,91514,179peak 14,1794 Apr10 Jun
14,298Peak Premier in tracked matches
39Days played since 2024-04-04

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

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CSDB.GG༼ つ ◕_◕ ༽つFACEITLevel 1STANDINGTop 100.0% of rankedcsdb.gg/stats

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Performance scores

Aim60
Positioning61
Utility56

0–100 skill scores via Leetify.

Recent form

STEADY46–52–2Last 10046%Win rateWLWWLLLWLW

Last 10 vs previous 10: −20pp win rate · −0.05 avg rating · −10.2pp headshot accuracy · +19ms reaction

Win rate down 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating -0.01
  • Avg headshot accuracy 14%
  • Avg reaction 747ms

Last 10

  • 5–5 · 50% win rate
  • Avg rating -0.00
  • Avg headshot accuracy 19%
  • Avg reaction 820ms

Last 20

  • 12–8 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 24%
  • Avg reaction 811ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: All-Rounder — No style dimension stands clear of the others in this profile.

Aim6.0
Utility5.6
Positioning6.1
Opening Duels4.5

Excellent counter-strafingStrong CT-side openerEffective flashes

Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

m0NESY

Plays most like m0NESY 80% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: lower opening-duel success; 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 56% on CT to 34% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 792ms 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
Positioning6.1
Utility5.6
Mechanics8.6
Opening Duels3.7
Win Impact7.2

Composite 6.2/10 (Solid), 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 rating0.03+0.05
first ⅓ avg -0.02 → last ⅓ avg 0.03
Reaction time787ms+4ms
first ⅓ avg 783ms → last ⅓ avg 787ms
Headshot accuracy25.6%+2.2%
first ⅓ avg 23.4% → last ⅓ avg 25.6%

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.

Personal bests

0.15Best match rating · 13–5 · mirage, 18 May →
50%Best headshot accuracy · 3–0 · dust2, 25 Apr →
516msFastest reaction time · 3–13 · inferno, 7 Jun →
13–1Biggest win · mirage, 29 Oct →

Across the last 100 tracked matches.

Highlights

5Longest win streak
6–11In matches decided by ≤2 rounds
11Overtime games

Map breakdown

anubisBest map · 80% over 5nukeWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageB3317–1652%0.00
infernoC197–1237%-0.00
nukeD144–1029%-0.04
dust2A138–562%-0.00
ancientD124–833%0.00
anubisS54–180%0.01
train—21–150%-0.00
overpass—11–0100%0.03
vertigo—10–10%-0.04

Across the last 100 tracked matches.

Nuke is currently your weakest sufficiently-sampled map (29% over 14). Start with the 6 essential Nuke lineups, review the callouts, then spin up a practice server.

Skill profile

Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.

25.9%Headshot accuracy
34.0%Accuracy (enemy spotted)
33.1%Spray accuracy
88.5%Counter-strafing
10.9°Preaim
792msReaction time
34.0%T opening success
55.8%CT opening success
0.70Enemies flashed / flash
10.9%Flash assists
7.51HE damage / grenade
10.20Flashes / 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 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 792.3434ms — above the 700ms 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 34.0135% — below the 40% mark we flag

Spend your practice time on Nuke

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 14 tracked games — your weakest map with enough games to be worth reading into.

Nuke callouts & strategy →Nuke grenade lineups →

Recent matches

MapScoreRatingHS%Date
ancient13–50.0926%8 Oct →
mirage4–13-0.096%8 Oct →
anubis13–6-0.048%8 Oct →
inferno13–110.0621%10 Jun →
nuke4–13-0.0710%10 Jun →
mirage14–160.0216%10 Jun →
mirage0–5-0.0625%10 Jun →
dust213–110.0010%9 Jun →
nuke7–130.0430%9 Jun →
overpass13–70.0335%9 Jun →
mirage13–90.0643%9 Jun →
mirage13–70.1235%8 Jun →
inferno13–50.1025%8 Jun →
mirage13–90.0235%8 Jun →
dust214–160.0236%8 Jun →
dust213–90.0628%8 Jun →
dust216–140.0932%3 Jun →
anubis13–30.0926%3 Jun →
mirage3–13-0.0717%3 Jun →
inferno11–130.0211%3 Jun →
ancient13–80.1031%31 May →
dust210–130.0446%26 May →
nuke13–80.0529%26 May →
mirage13–100.0330%26 May →
inferno10–130.0529%26 May →
mirage13–50.0933%18 May →
ancient7–130.0223%18 May →
mirage13–50.1523%18 May →
mirage9–13-0.0219%18 May →
nuke13–16-0.0229%18 May →
inferno8–8-0.0419%14 May →
mirage3–13-0.0047%14 May →
ancient14–160.0114%14 May →
mirage13–50.0331%14 May →
mirage13–100.0422%14 May →
mirage6–13-0.0530%10 Mar →
nuke9–13-0.0824%10 Mar →
dust213–7-0.0422%10 Mar →
dust213–80.0119%9 Mar →
ancient11–130.0226%9 Mar →
inferno9–130.0037%9 Mar →
dust22–13-0.0410%29 Oct →
ancient9–13-0.0624%29 Oct →
mirage13–10.0415%29 Oct →
inferno7–130.0222%1 Apr →
ancient4–13-0.0024%1 Apr →
mirage11–130.0124%22 Jan →
nuke9–13-0.0423%3 Jan →
mirage9–13-0.0218%3 Jan →
mirage13–50.0123%3 Jan →
train13–100.0224%3 Jan →
mirage7–13-0.0423%3 Jan →
ancient8–13-0.0313%3 Jan →
nuke2–9-0.1717%12 Dec →
train8–13-0.0318%12 Dec →
inferno13–50.0320%9 Nov →
ancient13–60.0416%14 Oct →
inferno16–130.0324%14 Oct →
vertigo5–13-0.0414%27 Sept →
dust213–7-0.0122%27 Sept →
anubis9–13-0.1011%14 Sept →
inferno13–110.0120%11 Aug →
inferno11–13-0.1021%16 Jul →
ancient13–16-0.059%8 Jul →
mirage13–50.0214%8 Jul →
inferno5–13-0.0630%4 Jul →
nuke13–110.0027%4 Jul →
dust213–10-0.0611%4 Jul →
dust20–13-0.1212%24 Jun →
mirage13–50.0336%24 Jun →
anubis13–10.0819%14 Jun →
nuke0–9-0.1918%11 Jun →
mirage13–9-0.0311%9 Jun →
inferno3–13-0.0130%7 Jun →
mirage11–130.0121%7 Jun →
dust24–13-0.0429%4 Jun →
nuke13–80.0631%29 May →
inferno16–130.0225%29 May →
mirage13–50.0225%15 May →
ancient5–13-0.0827%15 May →
nuke14–16-0.0526%7 May →
inferno13–9-0.0126%5 May →
mirage13–6-0.0516%5 May →
inferno15–150.0238%4 May →
mirage1–10-0.0917%4 May →
nuke11–13-0.0037%4 May →
nuke8–13-0.0333%25 Apr →
nuke12–5-0.0119%25 Apr →
mirage5–13-0.0410%25 Apr →
dust23–00.0650%25 Apr →
inferno2–13-0.0724%16 Apr →
mirage5–13-0.0333%16 Apr →
mirage7–13-0.0231%16 Apr →
mirage1–11-0.0822%16 Apr →
inferno8–13-0.0124%11 Apr →
mirage13–70.0216%11 Apr →
ancient13–10-0.0321%11 Apr →
anubis16–140.0116%4 Apr →
mirage13–8-0.0112%4 Apr →
inferno11–13-0.049%4 Apr →

Match data via Leetify.

Recent teammates

Milestones

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

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