Doublezz — CS2 Stats

76561198092325751[U:1:132060023]

604Tracked matches23%Win rate2024Tracked since
615Hours in CS2Hrs last 2 wks
CSDB Rating3.2 Learning
Ladder ranks via Leetify

Performance scores

Aim42
Positioning36
Utility20

0–100 skill scores via Leetify.

Recent form

COLD37621Last 10037%Win rateWLLLLWLLLL

Last 10 vs previous 10: -20pp win rate · -0.01 avg rating

Player DNA

Aim4.2
Aggression2.6
Utility2.0
Positioning3.6
Opening Duels0.0

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 64% playstyle similarity

Most alike: positioning profile, 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. 610ms 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

Aim4.2
Positioning3.6
Utility2.0
Mechanics5.8
Opening Duels0.0
Win Impact0.0

Composite 3.2/10 (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-0.05−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.05
Reaction time617ms−67ms
first ⅓ avg 684ms → last ⅓ avg 617ms
Headshot accuracy11.5%−2.3%
first ⅓ avg 13.8% → 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

0.06Best rating — dust2 13–9
130Biggest win — alpine
5Longest win streak
78In matches decided by ≤2 rounds
9Overtime games

Map breakdown

dust2Best map · 38% over 26ancientWeakest map · 14% over 7
MapGradePlayedRecordWin rateAvg rating
dust2C26101638%-0.04
infernoD1431121%-0.05
overpassC114736%-0.06
trainC114736%-0.05
ancientD71614%-0.05
cacheD51420%-0.01
mirage42250%-0.06
nuke41325%-0.02
agency43175%-0.00
anubis32167%-0.03
office32167%0.01
alpine21150%-0.04
warden2020%-0.00
grail220100%-0.03
italy1010%-0.01
jura110100%0.03

Across the last 100 tracked matches.

Ancient is currently your weakest sufficiently-sampled map (14% over 7). Start with the 6 essential Ancient lineups, review the callouts, then spin up a practice server.

Lifetime stats

10,313Lifetime kills
0.69K/D
811Matches
37.7%Match win rate
37.7%Headshot %
2.4%Shot accuracy
790MVPs
274Hours (in match)
602Bombs planted
119Bombs defused

Most-used weapons

Lifetime map wins

1,816dust2
768inferno
519nuke
422train
354vertigo
174office
26italy
11bank

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.

12.0%Headshot accuracy
28.1%Accuracy (enemy spotted)
25.8%Spray accuracy
76.1%Counter-strafing
8.6°Preaim
610msReaction time
26.9%T opening success
20.8%CT opening success
0.30Enemies flashed / flash
3.3%Flash assists
5.65HE damage / grenade
1.34Flashes / 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 12.0134% — 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 0.3036 — 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 26.9378% — 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.

14% win rate across 7 tracked games — your weakest map with enough games to be worth reading into.

Ancient callouts & strategyAncient grenade lineups

Recent matches

MapScoreRatingHS%Date
ancient16–14-0.0718%28 Aug
dust26–13-0.1014%27 Aug
mirage0–13-0.0914%23 Aug
inferno2–13-0.0617%17 Aug
cache5–130.0524%20 Jul
cache13–110.0112%2 Jul
cache1–13-0.036%25 Jun
dust29–13-0.0923%14 Jun
cache11–13-0.106%4 Jun
cache7–130.0112%31 May
ancient7–13-0.099%7 May
alpine10–13-0.086%25 Apr
dust213–9-0.043%11 Apr
dust212–16-0.0616%1 Apr
ancient11–13-0.0315%1 Apr
dust211–13-0.0615%29 Mar
anubis16–130.0112%28 Mar
overpass13–4-0.0611%28 Mar
alpine13–00.0110%23 Mar
warden2–60.0311%23 Mar
inferno13–9-0.075%13 Mar
warden9–13-0.0310%20 Feb
ancient8–13-0.059%7 Feb
dust213–16-0.0413%7 Feb
anubis10–13-0.0812%7 Feb
nuke7–130.0110%7 Feb
inferno4–13-0.040%4 Jan
dust22–13-0.0618%3 Jan
dust29–13-0.0910%31 Dec
inferno4–13-0.0619%31 Dec
overpass5–13-0.1213%21 Dec
train6–13-0.027%21 Dec
inferno7–13-0.100%20 Dec
overpass11–13-0.069%20 Dec
dust210–130.0015%20 Dec
dust24–13-0.1019%20 Dec
overpass3–13-0.0710%19 Dec
dust28–13-0.0313%3 Dec
overpass6–13-0.106%2 Dec
dust23–13-0.0317%2 Dec
ancient8–13-0.0813%2 Dec
inferno2–13-0.0515%30 Nov
overpass13–8-0.0023%28 Nov
dust211–13-0.0315%18 Nov
dust25–13-0.0914%17 Nov
train2–7-0.1117%16 Nov
train13–11-0.026%8 Nov
dust24–13-0.0512%1 Nov
inferno3–13-0.070%1 Nov
overpass13–9-0.046%31 Oct
mirage3–13-0.1114%31 Oct
inferno7–13-0.0313%31 Oct
ancient14–160.0115%29 Oct
dust213–90.0612%28 Oct
inferno6–13-0.037%3 Oct
train0–9-0.120%1 Oct
office13–50.0015%1 Oct
nuke13–2-0.035%1 Oct
dust213–11-0.033%1 Oct
agency13–9-0.026%30 Sept
dust213–6-0.0712%30 Sept
office6–13-0.0220%29 Sept
dust213–70.0119%29 Sept
overpass6–13-0.137%29 Sept
grail13–3-0.014%27 Sept
dust213–110.0113%27 Sept
dust213–7-0.0510%26 Sept
agency13–8-0.020%25 Sept
italy4–13-0.0117%25 Sept
dust213–7-0.0321%25 Sept
train13–160.026%24 Sept
grail13–5-0.0515%15 Sept
nuke1–13-0.0139%14 Sept
ancient3–13-0.043%14 Sept
inferno13–00.00100%2 Sept
dust213–4-0.028%2 Sept
anubis13–9-0.0312%2 Sept
nuke11–13-0.0716%31 Aug
dust29–13-0.028%30 Aug
inferno14–16-0.058%30 Aug
overpass16–13-0.061%30 Aug
train16–14-0.027%30 Aug
mirage13–6-0.014%30 Aug
train9–13-0.0914%30 Aug
overpass8–13-0.0113%30 Aug
train10–13-0.108%30 Aug
inferno7–13-0.070%30 Aug
dust26–13-0.0217%29 Aug
overpass9–13-0.0517%27 Aug
agency4–4-0.0223%27 Aug
inferno5–13-0.0515%26 Aug
dust213–90.0317%26 Aug
train12–12-0.0311%26 Aug
inferno13–4-0.042%26 Aug
agency9–130.0513%26 Aug
jura13–30.033%26 Aug
train13–40.0411%25 Aug
office13–30.0524%25 Aug
train13–10-0.083%24 Aug
mirage13–8-0.040%24 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 →