Createquads — CS2 Stats

76561198110465465[U:1:150199737]✓ No bans

101Tracked matches52%Win rate2021Tracked since
162Hours in CS0Hrs last 2 wks
CSDB Rating5.0 DevelopingHybrid Rifler
Premier CS Rating14,878Blue band · top ~29% of ranked players (population est.)
CSDB Leaderboard#24724 of 39815 tracked
Ladder ranks via Leetify

How this compares with the same rank

Median values for Blue band among CSDB-tracked players (n=2,468), 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 playerBlue band medianPurple band medianvs Purple band
Headshot rate60.7%41.4%44.2%above
Shot accuracy2.2%9.0%11.6%9.4% short
Kill/death ratio1.120.971.03above
Match win rate39.0%43.7%45.2%6.2% short

This profile matches the typical Purple band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGCreatequadsPREMIER14,878 · Blue bandcsdb.gg/stats

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Performance scores

Aim64
Positioning40
Utility40

0–100 skill scores via Leetify.

Recent form

STEADY41533Last 9742%Win rateLWWWLWLTWL

Last 10 vs previous 10: +10pp win rate · +0.05 avg rating

Player DNA

Primary style: Hybrid RiflerAim-led profile without a single dominant tendency.

Aim6.4
Aggression5.6
Utility4.0
Positioning4.0
Opening Duels2.3
Clutch0.0

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.

Your pro match

NiKo

Plays most like NiKo 83% 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

Reaction time. 712ms 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

Aim6.4
Positioning4.0
Utility4.0
Mechanics7.7
Opening Duels2.3
Win Impact5.6

Composite 5.0/10 (Developing), 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 rating-0.01+0.01
first ⅓ avg -0.02 → last ⅓ avg -0.01
Reaction time717ms+41ms
first ⅓ avg 676ms → last ⅓ avg 717ms
Headshot accuracy21.8%−0.1%
first ⅓ avg 21.9% → last ⅓ avg 21.8%

Rolling 5-match average across the last 97 tracked matches, oldest to newest. The delta compares the first third of the window with the last.

Highlights

0.10Best rating — mirage 13–5
131Biggest win — dust2
3Longest win streak
72In matches decided by ≤2 rounds
8Overtime games

Map breakdown

cacheBest map · 67% over 9ancientWeakest map · 29% over 14
MapGradePlayedRecordWin rateAvg rating
mirageC31131842%-0.01
dust2B158753%-0.01
ancientD1441029%-0.02
infernoB126650%-0.03
nukeD93633%-0.01
cacheS96367%-0.00
office31233%-0.05
train1010%-0.04
anubis1010%-0.08
vertigo1010%0.01
overpass1010%-0.03

Across the last 97 tracked matches.

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

Lifetime stats

4,016Lifetime kills
1.12K/D · Top 25% of Blue band
213Matches
39.0%Match win rate
60.7%Headshot % · Top 5% of Blue band
2.2%Shot accuracy
517MVPs
68Hours (in match)
64Bombs planted
34Bombs defused

Most-used weapons

Lifetime map wins

314dust2
184nuke
180inferno
38vertigo
26office
13train
3lake
3safehouse

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

Faceit stats

Combat

4Matches
50%Win rate
0.52Avg K/D
64.2ADR
49%Headshot %

Clutches & streaks

0%1v1 clutch win
0%1v2 clutch win
2Longest win streak

Recent Faceit resultsLLWWL

MapMatchesWin rateAvg K/DAvg kills
Nuke250%0.8415.5
Mirage1100%0.163.0
Inferno10%0.213.0

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.

21.9%Headshot accuracy
34.1%Accuracy (enemy spotted)
35.8%Spray accuracy
84.5%Counter-strafing
10.1°Preaim
712msReaction time
33.9%T opening success
44.9%CT opening success
0.47Enemies flashed / flash
5.6%Flash assists
5.21HE damage / grenade
4.21Flashes / 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 711.5601ms — above the 700ms 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 0.4712 — 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 33.916% — below the 40% mark we flag

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.

29% win rate across 14 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
nuke4–13-0.0319%18 Jul
dust213–8-0.0231%18 Jul
dust213–60.0426%18 Jul
cache16–14-0.0021%18 Jul
ancient6–130.0619%18 Jul
dust213–3-0.0229%17 Jul
nuke6–90.0516%17 Jul
ancient15–150.0422%16 Jul
mirage13–6-0.0010%16 Jul
cache5–130.0112%16 Jul
mirage13–20.0621%16 Jul
mirage6–13-0.1016%16 Jul
inferno13–5-0.0328%16 Jul
cache13–8-0.0119%15 Jul
nuke5–13-0.0830%15 Jul
ancient13–16-0.0421%15 Jul
mirage4–13-0.0227%15 Jul
dust23–13-0.0718%15 Jul
mirage9–13-0.0418%14 Jul
ancient13–5-0.0518%14 Jul
mirage16–14-0.0223%14 Jul
mirage3–13-0.0231%14 Jul
dust213–11-0.0228%14 Jul
dust213–40.0311%12 Jul
cache13–60.0019%9 Jul
mirage3–13-0.0622%9 Jul
dust213–80.1024%9 Jul
mirage13–50.1031%9 Jul
dust26–13-0.0436%9 Jul
ancient8–13-0.0419%9 Jul
inferno11–13-0.0213%9 Jul
mirage10–130.0122%9 Jul
cache13–7-0.0225%8 Jul
office5–13-0.0724%8 Jul
office13–11-0.0316%8 Jul
inferno9–130.0010%7 Jul
cache12–120.0528%7 Jul
inferno13–11-0.0538%7 Jul
mirage10–13-0.0523%6 Jul
nuke13–9-0.0222%1 Jul
ancient6–13-0.137%30 Jun
inferno5–13-0.063%30 Jun
mirage7–13-0.0317%30 Jun
mirage13–50.0228%29 Jun
mirage13–50.0218%24 Jun
dust213–10.0122%21 Jun
dust28–13-0.0812%21 Jun
nuke6–13-0.0319%21 Jun
nuke13–80.0524%21 Jun
mirage8–13-0.0319%21 Jun
train9–13-0.0425%19 Jun
mirage7–130.0121%18 Jun
mirage3–13-0.0112%18 Jun
ancient13–70.059%18 Jun
mirage6–13-0.0524%18 Jun
inferno13–10-0.0319%17 Jun
mirage15–15-0.0312%16 Jun
inferno9–13-0.0117%16 Jun
ancient13–3-0.0331%16 Jun
ancient14–16-0.0123%15 Jun
mirage13–60.0220%15 Jun
nuke7–130.0013%15 Jun
mirage3–13-0.0123%13 Jun
dust27–13-0.0226%13 Jun
cache1–13-0.0420%13 Jun
cache13–100.0222%13 Jun
nuke13–9-0.0215%13 Jun
mirage13–110.0826%11 Jun
mirage8–13-0.0513%11 Jun
cache13–4-0.0513%10 Jun
mirage13–10-0.0317%9 Jun
ancient8–13-0.0618%9 Jun
dust23–13-0.0014%9 Jun
mirage3–13-0.0425%9 Jun
ancient4–13-0.037%9 Jun
nuke3–13-0.0533%9 Jun
anubis0–13-0.0824%9 Jun
ancient4–13-0.0119%9 Jun
mirage8–13-0.019%9 Jun
dust21–60.000%8 Jun
mirage16–130.0023%8 Jun
inferno13–11-0.0237%8 Jun
dust26–13-0.0614%8 Jun
mirage13–80.0313%8 Jun
ancient13–80.0513%8 Jun
mirage0–60.0146%8 Jun
inferno6–13-0.0848%7 Jun
inferno0–13-0.0636%7 Jun
vertigo4–130.0120%7 Jun
overpass2–13-0.0331%6 Jun
mirage8–10.0522%6 Jun
inferno13–6-0.0439%6 Jun
ancient3–13-0.0427%17 May
office8–13-0.0522%17 May
mirage13–30.0018%26 Feb
inferno13–50.0520%3 Dec
dust216–40.0318%27 Oct

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 →