(っ °ω °)っ

(っ °ω °)っ — CS2 Stats

FI76561199544803737[U:1:1584538009]Steam profile ↗✓ No bans

543Tracked matches38%Win rate2023Tracked since
197Hours in CS
CSDB Rating3.4 LearningPositional Player
Premier CS Rating2,018Grey band · top ~91.4% of ranked players (population est.)
WingmanDistinguished Master Guardian
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (yesterday). Ranks are recorded once per day this page is viewed.

0Premier CS Rating · 2,018 → 2,018
+3Tracked matches · now 543
+3.5ppWin rate · 34.5% → 37.9%
Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 19 days played since 27 Aug 2026. Come back after the next session and the change shows above.

Is this you? Sign in with Steam to claim it and connect match tracking →

Rating over time

Premier CS Rating: 2,018 -2,982 29 Aug22 Sept · 18 days played
1,5955,124peak 5,12429 Aug22 Sept
5,614Peak Premier in tracked matches
19Days played since 2026-08-27

Premier CS Rating

  • 3,106 below peak (5,124)
  • -2,982 over 30 days · declining
  • Next: Light Blue band at 5,000 2,982 to go
  • Reached: Light Blue band

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 Grey band among CSDB-tracked players (n=3,562), 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 playerGrey band medianLight Blue band medianvs Light Blue band
Headshot rate55.2%38.2%39.9%above
Shot accuracy1.2%3.7%6.9%5.7% short
Kill/death ratio0.930.830.92meets
Match win rate47.8%40.2%42.3%above

This profile matches the typical Light Blue band player on 3 of 4 comparable metrics.

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

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CSDB.GG(っ °ω °)っPREMIER2,018 · Grey bandcsdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim48
Positioning46
Utility20

0–100 skill scores via Leetify.

Recent form

COLD47494Last 10047%Win rateWLLWLLTLLL

Last 10 vs previous 10: −20pp win rate · −0.10 avg rating · −14.7pp headshot accuracy · −3ms 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

  • 23 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 17%
  • Avg reaction 572ms

Last 10

  • 271 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 22%
  • Avg reaction 629ms

Last 20

  • 6131 · 30% win rate
  • Avg rating 0.02
  • Avg headshot accuracy 29%
  • Avg reaction 630ms

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 PlayerPositioning stands above the rest of this profile (+2.4 against its own average).

Aim4.8
Utility2.0
Positioning4.6
Opening Duels0.0

Strong CT-side openerLimited 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

iM

Plays most like iM 81% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower aim profile; lower opening-duel success.

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. 638ms 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

Aim4.8
Positioning4.6
Utility2.0
Mechanics5.8
Opening Duels1.0
Win Impact1.0

Composite 3.4/10 (Learning), 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 rating0.03−0.04
first ⅓ avg 0.06 → last ⅓ avg 0.03
Reaction time629ms+71ms
first ⅓ avg 559ms → last ⅓ avg 629ms
Headshot accuracy31.4%+9.5%
first ⅓ avg 21.9% → last ⅓ avg 31.4%

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

0.18Best match rating · 9–6 · nuke, 27 Aug
77%Best headshot accuracy · 11–13 · dust2, 21 Sept
344msFastest reaction time · 5–9 · inferno, 30 Aug
13–0Biggest win · dust2, 6 Sept

Across the last 100 tracked matches.

Highlights

4Longest win streak
612In matches decided by ≤2 rounds
8Overtime games

Map breakdown

officeBest map · 57% over 7ancientWeakest map · 40% over 5
MapGradePlayedRecordWin rateAvg rating
dust2B22111150%0.02
mirageC2191243%0.03
nukeC146843%0.08
anubisC125742%0.03
infernoB115645%0.03
officeA74357%0.02
ancientC52340%0.03
vertigo43175%0.03
cache2020%-0.01
train110100%0.04
overpass110100%0.17

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (40% over 5). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

7,303Lifetime kills
0.93K/D · Top 50% of Grey band
561Matches
47.8%Match win rate · Top 10% of Grey band
55.2%Headshot % · Top 5% of Grey band
1.2%Shot accuracy
1,164MVPs
197Hours (in match)
698Bombs planted
134Bombs defused

Most-used weapons

Lifetime map wins

925dust2
623nuke
451inferno
345office
304vertigo
82train

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

Skill profile

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

33.4%Headshot accuracy
31.8%Accuracy (enemy spotted)
24.5%Spray accuracy
76.1%Counter-strafing
16.1°Preaim
638msReaction time
23.2%T opening success
38.2%CT opening success
0.41Enemies flashed / flash
6.3%Flash assists
5.31HE damage / grenade
2.02Flashes / 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. Advanced Mechanics

    Your crosshair sits further from where enemies appear than it needs to. Crosshair placement is the cheapest accuracy you can buy.

    Preaim 16.1254° — above the 12° mark we flag

    Aim Training
  2. Grenades & Utility

    Most of your flashes are blinding nobody. A handful of reliable pop-flash lineups fixes this faster than anything else.

    Enemies flashed per flash 0.4145 — below the 0.5 mark we flag

    Grenade Lineups
Spend your practice time on Ancient

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

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
mirage16–130.0654%22 Sept
vertigo3–9-0.240%22 Sept
dust29–13-0.040%22 Sept
mirage13–7-0.0113%21 Sept
mirage4–13-0.0520%21 Sept
inferno1–13-0.040%21 Sept
dust215–15-0.1314%21 Sept
cache6–13-0.079%21 Sept
dust211–130.1677%21 Sept
mirage6–130.1129%21 Sept
cache8–130.0632%21 Sept
nuke10–130.1257%21 Sept
anubis11–13-0.0357%20 Sept
ancient10–130.0424%20 Sept
nuke11–130.0730%20 Sept
inferno11–130.1024%20 Sept
nuke13–110.1839%20 Sept
dust213–110.0543%19 Sept
nuke13–80.0931%19 Sept
anubis13–90.0427%19 Sept
mirage6–130.1124%19 Sept
office13–80.0833%19 Sept
anubis11–130.0825%18 Sept
nuke7–130.1439%18 Sept
mirage13–100.0949%18 Sept
inferno1–130.0150%16 Sept
inferno13–2-0.020%16 Sept
anubis3–7-0.0333%16 Sept
mirage13–4-0.0840%16 Sept
anubis13–50.0370%15 Sept
dust211–13-0.0123%15 Sept
anubis14–160.0829%15 Sept
anubis11–13-0.0343%14 Sept
nuke5–130.0135%14 Sept
anubis13–6-0.0140%13 Sept
mirage9–130.1239%13 Sept
nuke9–13-0.0228%13 Sept
dust28–130.0233%13 Sept
inferno13–80.0240%13 Sept
mirage16–140.0636%13 Sept
nuke9–130.0722%13 Sept
mirage13–50.0941%12 Sept
mirage13–100.0622%12 Sept
dust213–40.0936%12 Sept
dust213–6-0.0044%12 Sept
nuke12–90.0144%11 Sept
dust27–13-0.0939%11 Sept
dust213–11-0.0056%11 Sept
anubis13–100.0026%11 Sept
dust23–13-0.0543%11 Sept
dust25–80.0259%11 Sept
anubis5–130.0041%11 Sept
dust213–80.0526%8 Sept
nuke13–70.0528%8 Sept
mirage13–3-0.0025%8 Sept
dust210–13-0.0253%8 Sept
nuke13–90.0352%6 Sept
mirage15–15-0.0520%6 Sept
dust211–130.0658%6 Sept
dust213–11-0.0562%6 Sept
dust213–00.1625%6 Sept
office5–13-0.0627%4 Sept
ancient13–100.0214%4 Sept
office2–13-0.0340%4 Sept
train13–30.0425%4 Sept
inferno2–13-0.0735%4 Sept
anubis11–30.1232%4 Sept
mirage10–130.0336%3 Sept
dust213–100.0924%3 Sept
inferno1–4-0.0350%3 Sept
dust213–80.0623%3 Sept
mirage14–160.0521%31 Aug
mirage11–13-0.0219%31 Aug
dust29–130.0116%31 Aug
ancient4–13-0.0129%31 Aug
dust213–30.1238%31 Aug
ancient13–40.0815%31 Aug
mirage15–15-0.0325%31 Aug
dust213–50.0013%31 Aug
office12–120.0412%30 Aug
office11–10.0540%30 Aug
office13–10.0131%30 Aug
office13–60.0627%30 Aug
vertigo9–50.1526%30 Aug
inferno5–90.0929%30 Aug
overpass9–50.1718%30 Aug
nuke5–90.058%30 Aug
inferno9–40.1426%30 Aug
inferno9–20.1615%30 Aug
vertigo9–70.0914%30 Aug
nuke9–30.1024%30 Aug
ancient12–160.040%30 Aug
inferno13–5-0.0025%30 Aug
mirage5–13-0.024%30 Aug
anubis7–130.0822%29 Aug
mirage3–130.1310%29 Aug
mirage11–130.0518%29 Aug
mirage13–20.0243%29 Aug
vertigo9–60.1520%27 Aug
nuke9–60.187%27 Aug

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 →