私は尻です

私は尻です — CS2 Stats

CF76561199304988708[U:1:1344722980]Steam profile ↗✓ No bans

340Tracked matches68%Win rate2022Tracked since
259Hours in CS2Hrs last 2 wks
CSDB Rating7.5 StrongPositional Player
Premier CS Rating14,346Blue band · top ~31.9% of ranked players (population est.)
FaceitLevel 4Top 81.0% of ranked FACEIT players
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 20 Oct 2026 (25 days ago). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 14,346 +2,686 11 Jan – 20 Oct · 14 days played
11,66015,108peak 15,10811 Jan20 Oct
15,108Peak Premier in tracked matches
48Days played since 2024-11-30

Premier CS Rating

  • 762 below peak (15,108)
  • Next: Purple band at 15,000 — 654 to go
  • Reached: Purple band · Blue band · Light Blue band
  • Blue band first seen 2026-10-06
  • Light Blue band first seen 2026-10-06

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

How this compares with the same rank

Median values for Level 4 among CSDB-tracked players (n=14,630), from Valve's own lifetime stats. Aim, positioning and utility scores are deliberately not benchmarked here — those are a third-party provider's derived metrics, which CSDB does not store.

MetricThis playerLevel 4 medianLevel 5 medianvs Level 5
Headshot rate56.2%42.7%43.8%above
Shot accuracy11.6%11.2%12.0%0.4% short
Kill/death ratio1.360.991.02above
Match win rate57.1%43.9%44.7%above

This profile matches the typical Level 5 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 5 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GG私は尻ですFACEITLevel 4STANDINGTop 81.0% of rankedPREMIER14,346 · Blue bandcsdb.gg/stats

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Performance scores

Aim92
Positioning68
Utility49

0–100 skill scores via Leetify.

Recent form

STEADY53–42–5Last 10053%Win rateTWWLWLWWWL

Last 10 vs previous 10: +10pp win rate · +0.01 avg rating · +2.1pp headshot accuracy · +38ms reaction

Win rate +10pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 3–1–1 · 60% win rate
  • Avg rating 0.05
  • Avg headshot accuracy 23%
  • Avg reaction 564ms

Last 10

  • 6–3–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 561ms

Last 20

  • 11–8–1 · 55% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 25%
  • Avg reaction 542ms

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: Positional Player — Positioning stands above the rest of this profile (+2.6 against its own average).

Aim9.2
Utility4.9
Positioning6.8
Opening Duels5.3
Clutch0.0

Sharp aimerExcellent counter-strafingLimited utility dependence

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

donk

Plays most like donk 94% playstyle similarity

Most alike: aim profile, utility contribution.

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

Aim. Aim score of 92 — the mechanical foundation is a clear strength.

Counter-strafing. 92% of shots taken properly stopped — movement discipline most players never reach.

Areas to improve

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 558ms 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

Aim9.2
Positioning6.8
Utility4.9
Mechanics9.4
Opening Duels5.9
Win Impact10.0

Composite 7.5/10 (Strong), 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 rating0.04+0.02
first ⅓ avg 0.02 → last ⅓ avg 0.04
Reaction time558ms−37ms
first ⅓ avg 595ms → last ⅓ avg 558ms
Headshot accuracy26.0%−0.6%
first ⅓ avg 26.6% → last ⅓ avg 26.0%

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

0.27Best match rating · 9–1 · inferno, 7 Sept →
82%Best headshot accuracy · 9–1 · poseidon, 19 Aug →
430msFastest reaction time · 2–13 · inferno, 30 Sept →
13–2Biggest win · vertigo, 19 Jan →

Across the last 100 tracked matches.

Highlights

7Longest win streak
6–4In matches decided by ≤2 rounds
4Overtime games

Map breakdown

trainBest map · 100% over 5anubisWeakest map · 20% over 5
MapGradePlayedRecordWin rateAvg rating
dust2A2213–959%0.02
mirageC219–1243%0.00
infernoB168–850%0.02
nukeD144–1029%0.01
ancientS64–267%0.02
cacheS54–180%0.06
anubisD51–420%0.01
trainS55–0100%0.04
vertigoS54–180%0.05
poseidon—11–0100%0.13

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (20% over 5). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,776Lifetime kills
1.36K/D · Top 10% of Level 4 players
431Matches
57.1%Match win rate · Top 5% of Level 4 players
56.2%Headshot % · Top 10% of Level 4 players
11.6%Shot accuracy · Top 50% of Level 4 players
1,077MVPs
131Hours (in match)
343Bombs planted
74Bombs defused

Most-used weapons

Lifetime map wins

718dust2
633inferno
369vertigo
330nuke
128train
10lake
9safehouse
3office

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

Faceit stats

Combat

9Matches
78%Win rate
1.17Avg K/D
83.3ADR
50%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
4Longest win streak

Recent Faceit resultsLWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2100%1.2813.5
Dust210%0.8016.0
Ancient1100%0.9211.0

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.

24.3%Headshot accuracy
38.5%Accuracy (enemy spotted)
41.2%Spray accuracy
92.3%Counter-strafing
8.1°Preaim
558msReaction time
52.0%T opening success
55.4%CT opening success
0.53Enemies flashed / flash
12.3%Flash assists
10.26HE damage / grenade
4.04Flashes / match

Recommended for you

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.

20% win rate across 5 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache12–120.0519%3 Nov →
dust22–10.1833%3 Nov →
cache13–80.0616%20 Oct →
nuke2–9-0.0724%20 Oct →
dust213–100.0323%20 Oct →
mirage3–13-0.0229%13 Oct →
dust213–100.0217%13 Oct →
dust213–70.0934%6 Oct →
cache13–6-0.0041%30 Sept →
inferno2–130.0523%30 Sept →
inferno2–13-0.0915%30 Sept →
mirage8–130.0525%29 Sept →
mirage13–8-0.0116%28 Sept →
dust25–13-0.0328%28 Sept →
mirage13–6-0.0312%7 Sept →
inferno9–10.2741%7 Sept →
nuke9–40.1221%7 Sept →
mirage5–13-0.0025%6 Sept →
nuke13–80.0525%6 Sept →
dust210–13-0.0431%5 Sept →
mirage13–90.0829%5 Sept →
nuke13–100.0428%4 Sept →
anubis12–120.0736%4 Sept →
anubis13–6-0.0114%30 Aug →
cache13–50.0424%23 Aug →
train13–50.0819%23 Aug →
nuke11–130.0426%22 Aug →
nuke6–9-0.0414%19 Aug →
inferno6–90.0216%19 Aug →
poseidon9–10.1382%19 Aug →
cache13–90.1518%16 Aug →
ancient16–120.0224%15 Aug →
dust213–70.0329%15 Aug →
mirage8–13-0.0636%15 Aug →
ancient13–80.0521%15 Aug →
dust213–8-0.0516%15 Aug →
dust213–110.0126%15 Aug →
nuke8–130.0627%10 Aug →
dust210–130.0620%5 Aug →
nuke8–13-0.0419%5 Aug →
mirage13–90.0629%4 Aug →
mirage11–13-0.0226%4 Aug →
dust212–12-0.0127%2 Aug →
dust213–80.0520%2 Aug →
dust26–13-0.0030%2 Aug →
vertigo13–70.0735%29 Jul →
dust26–13-0.0230%4 Apr →
nuke10–130.0331%4 Apr →
mirage6–130.0323%4 Apr →
inferno7–130.0439%18 May →
ancient5–13-0.028%14 May →
anubis12–12-0.0322%5 May →
ancient13–40.0213%5 May →
dust213–110.0021%5 May →
mirage13–100.0422%28 Apr →
mirage9–13-0.0425%28 Apr →
mirage12–160.0328%27 Apr →
inferno13–7-0.0319%27 Apr →
inferno11–13-0.0033%27 Apr →
inferno13–100.0026%26 Apr →
nuke8–13-0.0324%24 Apr →
mirage7–130.0126%24 Apr →
train13–9-0.0030%24 Apr →
ancient5–130.0341%23 Apr →
mirage13–80.0132%22 Apr →
ancient13–50.0414%22 Apr →
dust24–13-0.0126%22 Apr →
anubis9–13-0.0440%9 Feb →
mirage9–130.0124%8 Feb →
dust213–90.0729%8 Feb →
mirage13–7-0.0417%8 Feb →
mirage13–5-0.0426%4 Feb →
train13–3-0.0121%4 Feb →
nuke10–13-0.0020%4 Feb →
train13–50.0934%1 Feb →
inferno6–13-0.0624%1 Feb →
mirage12–120.0122%28 Jan →
vertigo13–70.0719%28 Jan →
mirage3–13-0.0220%26 Jan →
dust216–140.0425%25 Jan →
inferno13–8-0.0536%25 Jan →
anubis14–160.0518%25 Jan →
mirage13–80.0328%25 Jan →
nuke10–13-0.0233%24 Jan →
inferno4–13-0.0021%24 Jan →
dust25–13-0.0531%23 Jan →
nuke13–80.0724%19 Jan →
dust213–100.0518%19 Jan →
vertigo13–20.1216%19 Jan →
inferno13–9-0.0321%15 Jan →
vertigo13–60.0515%15 Jan →
dust213–100.0723%14 Jan →
inferno13–110.0526%11 Jan →
vertigo9–13-0.0624%11 Jan →
inferno5–110.0543%10 Dec →
dust28–13-0.0528%10 Dec →
nuke5–13-0.0450%4 Dec →
train13–30.0533%4 Dec →
inferno13–70.1124%30 Nov →
inferno13–110.0447%30 Nov →

Match data via Leetify.

Recent teammates

Milestones

100 MatchesAim 90+
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

This profile is built from public Steam data. If it is yours, you can remove it, or delete your CSDB account.