meow

meow — CS2 Stats

PF76561198191683315[U:1:231417587]Steam profile ↗✓ No bans

383Tracked matches36%Win rate2020Tracked since
1,171Hours in CS
CSDB Rating2.6 LearningPositional Player
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 23 Sep 2026 (19 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 383 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 18,806 +3,775 24 Mar – 4 Jul · 25 days played
15,03118,895peak 18,89524 Mar4 Jul
19,225Peak Premier in tracked matches
37Days played since 2026-03-24

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

Performance scores

Aim32
Positioning39
Utility25

0–100 skill scores via Leetify.

Recent form

COLD48–47–5Last 10048%Win rateLWLLWLTTLL

Last 10 vs previous 10: −10pp win rate · −0.02 avg rating · −1.2pp headshot accuracy · −19ms 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

  • 2–3 · 40% win rate
  • Avg rating -0.06
  • Avg headshot accuracy 15%
  • Avg reaction 639ms

Last 10

  • 2–6–2 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 616ms

Last 20

  • 5–13–2 · 25% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 625ms

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 (+1.4 against its own average).

Aim3.2
Utility2.5
Positioning3.9
Opening Duels0.3
Clutch3.2

Limited 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 77% playstyle similarity

Most alike: positioning profile, utility contribution.

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

Reaction time. 646ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 62% 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

Aim3.2
Positioning3.9
Utility2.5
Mechanics2.6
Opening Duels0.6
Win Impact0.2

Composite 2.6/10 (Learning), 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 rating-0.03−0.03
first ⅓ avg 0.00 → last ⅓ avg -0.03
Reaction time659ms+14ms
first ⅓ avg 645ms → last ⅓ avg 659ms
Headshot accuracy16.4%−0.6%
first ⅓ avg 17.0% → last ⅓ avg 16.4%

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

0.16Best match rating · 13–2 · dust2, 31 Mar →
56%Best headshot accuracy · 3–13 · mirage, 27 Apr →
484msFastest reaction time · 15–15 · dust2, 27 Apr →
13–2Biggest win · mirage, 25 Aug →

Across the last 100 tracked matches.

Highlights

4Longest win streak
13–9In matches decided by ≤2 rounds
16Overtime games

Map breakdown

overpassBest map · 67% over 6dust2Weakest map · 25% over 16
MapGradePlayedRecordWin rateAvg rating
mirageA2516–964%-0.03
dust2D164–1225%-0.01
nukeA159–660%-0.00
ancientC146–843%-0.02
anubisB115–645%-0.01
infernoD82–625%-0.03
overpassS64–267%-0.02
cache—42–250%-0.02
vertigo—10–10%-0.03

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (25% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

55,008Lifetime kills
0.97K/D
3,081Matches
47.3%Match win rate · Top 50% of tracked players
36.1%Headshot %
14.3%Shot accuracy · Top 50% of tracked players
7,303MVPs
1,171Hours (in match)
1,853Bombs planted
670Bombs defused

Most-used weapons

AK-4714,467
AWP6,142
P901,790
P2501,740
Knife1,535
Tec-91,427

Lifetime map wins

8,112dust2
1,554inferno
1,020nuke
573vertigo
465train
438office
281cbble
250dust

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

Faceit stats

Combat

67Matches
55%Win rate
1.01Avg K/D
79.7ADR
42%Headshot %

Clutches & streaks

36%1v1 clutch win
18%1v2 clutch win
8Longest win streak

Recent Faceit resultsWWLWW

MapMatchesWin rateAvg K/DAvg kills
Mirage2352%1.0215.7
Dust22065%0.9516.1
Nuke862%1.2018.8
Ancient714%0.9516.9
Inferno667%1.0916.7
Anubis1100%1.009.0
Vertigo10%0.7723.0
Cache1100%0.338.0

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.

17.3%Headshot accuracy
29.0%Accuracy (enemy spotted)
34.7%Spray accuracy
61.9%Counter-strafing
11.9°Preaim
646msReaction time
23.2%T opening success
34.4%CT opening success
0.29Enemies flashed / flash
2.2%Flash assists
4.65HE damage / grenade
3.05Flashes / 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. 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 0.29 — below the 0.5 mark we flag

    Grenade Lineups →
  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 23.2157% — below the 40% mark we flag

Spend your practice time on Dust 2

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

25% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache9–13-0.0312%25 Aug →
mirage13–2-0.0313%25 Aug →
dust214–16-0.0631%25 Aug →
mirage7–13-0.1110%25 Aug →
ancient13–7-0.0510%25 Aug →
anubis8–13-0.0219%20 Aug →
mirage15–15-0.0717%19 Aug →
inferno15–15-0.0319%19 Aug →
anubis11–130.0215%14 Aug →
vertigo16–19-0.0323%13 Aug →
mirage13–60.0338%11 Aug →
cache13–160.0221%11 Aug →
ancient8–13-0.066%9 Aug →
mirage13–11-0.0716%9 Aug →
anubis10–13-0.0215%9 Aug →
dust27–130.0322%9 Aug →
mirage5–13-0.0313%22 Jul →
ancient7–13-0.0330%22 Jul →
cache13–2-0.039%22 Jul →
dust25–13-0.079%22 Jul →
dust27–130.0327%20 Jul →
mirage0–13-0.1117%11 Jul →
cache13–9-0.0311%10 Jul →
anubis5–13-0.0118%10 Jul →
mirage13–11-0.0313%10 Jul →
inferno7–13-0.0910%4 Jul →
anubis13–100.0218%4 Jul →
mirage13–11-0.0215%4 Jul →
overpass13–11-0.0015%4 Jul →
anubis3–13-0.0815%3 Jul →
inferno9–13-0.0517%3 Jul →
ancient10–13-0.060%3 Jul →
nuke13–110.0618%3 Jul →
anubis13–90.0624%2 Jul →
nuke15–15-0.0424%18 Jun →
overpass7–13-0.0411%18 Jun →
mirage11–13-0.0320%18 Jun →
ancient11–13-0.0310%18 Jun →
inferno13–30.0319%17 Jun →
nuke9–13-0.0523%15 Jun →
ancient13–70.0218%15 Jun →
anubis13–7-0.0212%15 Jun →
inferno14–160.029%7 Jun →
anubis3–13-0.048%28 Apr →
nuke7–1-0.080%28 Apr →
mirage13–5-0.0529%28 Apr →
dust26–13-0.0419%27 Apr →
mirage13–3-0.0832%27 Apr →
dust215–15-0.0314%27 Apr →
nuke6–13-0.0426%27 Apr →
mirage8–13-0.0716%27 Apr →
mirage3–13-0.0456%27 Apr →
inferno13–11-0.0423%21 Apr →
overpass15–150.0112%20 Apr →
ancient9–13-0.029%20 Apr →
inferno11–13-0.019%20 Apr →
mirage13–7-0.0822%20 Apr →
ancient16–14-0.0116%19 Apr →
mirage9–13-0.0716%19 Apr →
nuke13–110.0310%19 Apr →
nuke7–0-0.0314%19 Apr →
nuke8–130.0120%17 Apr →
overpass16–140.0224%17 Apr →
anubis13–5-0.0022%17 Apr →
mirage13–90.0126%17 Apr →
dust213–100.0110%14 Apr →
ancient9–13-0.0610%14 Apr →
mirage13–80.0213%14 Apr →
overpass13–5-0.0515%14 Apr →
dust25–13-0.0619%12 Apr →
nuke13–110.0415%12 Apr →
ancient13–6-0.0114%9 Apr →
dust26–13-0.0314%7 Apr →
dust211–130.0425%6 Apr →
dust216–130.0515%6 Apr →
mirage13–80.0114%6 Apr →
nuke10–130.0117%6 Apr →
dust212–160.0218%5 Apr →
ancient13–80.028%5 Apr →
mirage13–20.0327%5 Apr →
overpass13–9-0.066%3 Apr →
mirage14–160.0619%3 Apr →
anubis13–6-0.056%3 Apr →
nuke13–60.0123%3 Apr →
nuke13–70.0437%3 Apr →
mirage13–70.055%2 Apr →
ancient2–13-0.0430%2 Apr →
dust213–5-0.045%2 Apr →
mirage13–5-0.0016%31 Mar →
dust213–20.1629%31 Mar →
nuke4–13-0.0624%31 Mar →
nuke13–110.0426%30 Mar →
nuke13–110.0212%30 Mar →
dust26–13-0.0611%30 Mar →
ancient13–90.0224%29 Mar →
mirage13–60.0113%29 Mar →
dust211–13-0.0421%29 Mar →
ancient12–160.0011%26 Mar →
mirage13–110.0411%26 Mar →
inferno13–16-0.0419%24 Mar →

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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