Waaataan copetti peek — CS2 Stats

76561198860107265[U:1:899841537]

604Tracked matches25%Win rate2020Tracked since
2,265Hours in CS9Hrs last 2 wks
CSDB Rating3.1 Learning
Premier CS Rating4,300Grey band · top ~81.8% of ranked players (population est.)
CSDB Leaderboard#11168 of 14590 tracked
FaceitLevel 5 · 1,279 ELOTop 67.6% of ranked FACEIT players
WingmanSilver Elite Master
Ladder ranks via Leetify

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CSDB.GGWaaataan copetti peekFACEITLevel 5 · 1,279 ELOSTANDINGTop 67.6% of rankedPREMIER4,300 · Grey bandcsdb.gg/stats

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Performance scores

Aim41
Positioning37
Utility30

0–100 skill scores via Leetify.

Recent form

STEADY41545Last 10041%Win rateLWWWLWLLLL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating

Player DNA

Aim4.1
Aggression3.4
Utility3.0
Positioning3.7
Opening Duels0.2
Clutch3.6

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 72% playstyle similarity

Most alike: opening-fight frequency, opening-duel success.

Where you differ: lower utility contribution; 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 42% on CT to 20% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 641ms 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

Aim4.1
Positioning3.7
Utility3.0
Mechanics6.1
Opening Duels1.5
Win Impact0.0

Composite 3.1/10 (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 rating-0.02−0.04
first ⅓ avg 0.02 → last ⅓ avg -0.02
Reaction time647ms−3ms
first ⅓ avg 649ms → last ⅓ avg 647ms
Headshot accuracy11.5%−11.7%
first ⅓ avg 23.2% → last ⅓ avg 11.5%

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

0.16Best rating — mirage 7–13
131Biggest win — inferno
6Longest win streak
310In matches decided by ≤2 rounds
8Overtime games

Map breakdown

infernoBest map · 60% over 10dust2Weakest map · 22% over 32
MapGradePlayedRecordWin rateAvg rating
mirageC34151944%-0.00
dust2D3272522%-0.01
nukeB115645%0.01
infernoA106460%0.02
overpassA53260%0.01
train330100%-0.00
anubis220100%-0.01
cache2020%-0.06
ancient1010%-0.04

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (22% over 32). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

58,751Lifetime kills
1.01K/D
2,997Matches
43.2%Match win rate
47.5%Headshot % · Top 50% of tracked players
12.4%Shot accuracy · Top 50% of tracked players
6,752MVPs
1,156Hours (in match)
1,512Bombs planted
540Bombs defused

Most-used weapons

Lifetime map wins

4,126dust2
2,748inferno
1,768nuke
427train
372cbble
238vertigo
48office
44lake

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

Faceit stats

Combat

420Matches
48%Win rate
1.03Avg K/D
83.0ADR
52%Headshot %

Clutches & streaks

38%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsWLWLL

MapMatchesWin rateAvg K/DAvg kills
Mirage13055%1.1017.3
Dust29642%1.0316.5
Nuke4333%0.8514.5
Inferno3661%1.3015.5
Anubis2148%1.2118.1
Ancient2050%1.0014.9
Train1553%1.1116.0
Overpass1050%1.0617.4

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.

12.0%Headshot accuracy
32.2%Accuracy (enemy spotted)
31.4%Spray accuracy
77.3%Counter-strafing
11.4°Preaim
641msReaction time
19.8%T opening success
41.7%CT opening success
0.45Enemies flashed / flash
5.1%Flash assists
8.80HE damage / grenade
4.24Flashes / 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 12.0402% — below the 15% 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 0.4451 — below the 0.5 mark we flag

    Grenade Lineups
  3. 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 19.8037% — 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.

22% win rate across 32 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategyDust 2 grenade lineups

Recent matches

MapScoreRatingHS%Date
dust28–13-0.0415%12 Aug
mirage16–12-0.034%12 Aug
inferno13–50.149%12 Aug
anubis13–6-0.004%7 Aug
inferno4–13-0.085%7 Aug
dust213–100.0114%6 Aug
dust27–130.0110%6 Aug
nuke13–160.045%6 Aug
ancient5–13-0.0411%6 Aug
dust210–13-0.047%4 Aug
mirage13–160.009%3 Aug
dust27–13-0.089%3 Aug
mirage12–120.087%3 Aug
nuke8–13-0.0530%3 Aug
dust23–13-0.1115%2 Aug
dust211–13-0.0113%2 Aug
inferno13–100.0114%22 Jul
dust211–13-0.0310%22 Jul
inferno4–13-0.038%22 Jul
inferno13–8-0.0028%18 Jul
mirage13–10-0.0214%18 Jul
mirage2–13-0.0515%16 Jul
dust27–13-0.026%16 Jul
mirage3–130.017%16 Jul
mirage15–15-0.0018%16 Jul
dust22–13-0.049%14 Jul
dust20–13-0.106%14 Jul
dust29–130.0212%14 Jul
dust210–13-0.0331%12 Jul
mirage4–13-0.0713%8 Jul
dust29–13-0.038%5 Jul
nuke13–50.015%5 Jul
inferno12–12-0.018%2 Jul
cache9–13-0.077%1 Jul
dust210–130.0710%1 Jul
mirage7–2-0.054%29 Jun
dust213–50.1018%29 Jun
dust213–7-0.0225%29 Jun
mirage5–130.0115%29 Jun
mirage10–13-0.0016%27 Jun
mirage4–13-0.074%27 Jun
dust28–13-0.058%26 Jun
cache1–13-0.049%25 Jun
dust24–13-0.077%24 Jun
mirage4–13-0.0710%24 Jun
nuke11–13-0.0325%15 Jun
mirage10–13-0.1014%29 May
dust211–130.0728%8 May
anubis13–6-0.0229%6 May
overpass13–80.0322%4 May
mirage13–80.0822%1 May
dust211–130.0722%29 Apr
nuke10–130.0543%8 Mar
inferno6–13-0.0329%5 Mar
mirage4–13-0.0735%3 Mar
nuke9–13-0.0326%21 Feb
dust216–130.0343%14 Feb
nuke13–70.0632%10 Feb
mirage7–130.1627%7 Feb
overpass3–13-0.0331%7 Feb
mirage13–60.0333%6 Feb
dust211–13-0.0236%6 Feb
dust212–12-0.0336%21 Jan
dust213–160.0137%14 Jan
dust23–13-0.0316%14 Jan
dust211–130.0130%11 Jan
mirage13–8-0.0526%11 Jan
mirage13–4-0.0119%10 Jan
nuke13–70.0326%10 Jan
nuke13–80.0217%9 Jan
inferno13–10.1219%9 Jan
mirage13–60.0817%8 Jan
dust26–13-0.0116%8 Jan
mirage13–7-0.0115%7 Jan
mirage8–13-0.0712%7 Jan
dust213–7-0.0316%6 Jan
mirage16–130.0121%6 Jan
train13–11-0.0326%4 Jan
dust213–90.0734%4 Jan
mirage13–110.0227%3 Jan
overpass13–8-0.0232%3 Jan
mirage7–130.0327%3 Jan
mirage13–40.0616%3 Jan
dust213–80.0430%3 Jan
train13–50.0235%2 Jan
inferno13–40.0616%2 Jan
mirage9–13-0.0521%29 Dec
mirage13–100.0523%28 Dec
mirage7–130.0214%20 Dec
train13–7-0.0130%19 Dec
nuke11–130.0128%19 Dec
overpass7–130.0423%18 Dec
mirage13–60.0718%18 Dec
nuke13–10.0326%18 Dec
overpass13–90.0132%18 Dec
dust211–130.0837%18 Dec
inferno13–110.0218%17 Dec
mirage13–7-0.0226%17 Dec
mirage11–130.0327%16 Dec
mirage15–150.0221%16 Dec

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 →