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qqbot — CS2 Stats

DK76561198032765125[U:1:72499397]Steam profile ↗

2,599Tracked matches53%Win rate2020Tracked since
CSDB Rating7.7 StrongAggressive Rifler
FaceitLevel 10 · 2,648 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGqqbotFACEITLevel 10 · 2,648 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim85
Positioning73
Utility72

0–100 skill scores via Leetify.

Recent form

STEADY5545Last 10055%Win rateLWLWWLWWLW

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

Player DNA

Primary style: Aggressive RiflerTakes opening fights often, backed by a strong aim profile.

Aim8.5
Aggression10.0
Utility7.2
Positioning7.3
Opening Duels5.6
Clutch3.6

Sharp aimerExcellent counter-strafingEffective flashes

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

ZywOo

Plays most like ZywOo 93% playstyle similarity

Most alike: utility contribution, positioning profile.

Where you differ: higher 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

Strengths

Aim. Aim score of 85 — the mechanical foundation is a clear strength.

Flashes. 0.79 enemies blinded per flash — utility that consistently lands.

Areas to improve

Reaction time. 592ms 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

Aim8.5
Positioning7.3
Utility7.2
Mechanics8.7
Opening Duels5.6
Win Impact6.1

Composite 7.7/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.03−0.01
first ⅓ avg 0.04 → last ⅓ avg 0.03
Reaction time599ms−62ms
first ⅓ avg 661ms → last ⅓ avg 599ms
Headshot accuracy24.4%+0.4%
first ⅓ avg 24.1% → last ⅓ avg 24.4%

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.

Highlights

0.19Best rating — overpass 13–2
132Biggest win — ancient
6Longest win streak
119In matches decided by ≤2 rounds
17Overtime games

Map breakdown

ancientBest map · 73% over 11trainWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
infernoB26141254%0.04
nukeB1910953%0.03
ancientS118373%0.04
overpassA117464%0.07
cacheC104640%0.03
trainC83538%0.03
anubisA74357%0.04
mirage42250%-0.00
dust243175%0.03

Across the last 100 tracked matches.

Faceit stats

Combat

2,657Matches
51%Win rate
1.44Avg K/D
102.3ADR
49%Headshot %

Clutches & streaks

38%1v1 clutch win
29%1v2 clutch win
12Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Ancient30052%1.4922.4
Inferno27250%1.5421.9
Nuke23857%1.5422.7
Anubis20745%1.4721.1
Train7756%1.4820.8
Overpass7548%1.4523.3
Dust24141%1.4622.2
Cache4048%1.5022.6

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.

23.9%Headshot accuracy
36.9%Accuracy (enemy spotted)
37.9%Spray accuracy
89.0%Counter-strafing
9.3°Preaim
592msReaction time
45.9%T opening success
58.8%CT opening success
0.79Enemies flashed / flash
8.0%Flash assists
11.71HE damage / grenade
11.30Flashes / match

Recommended for you

Spend your practice time on Train

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

38% win rate across 8 tracked games — your weakest map with enough games to be worth reading into.

Train callouts & strategy

Recent matches

MapScoreRatingHS%Date
cache9–130.0819%19 Aug
ancient13–11-0.0226%11 Aug
anubis10–130.0320%5 Aug
nuke13–9-0.0417%5 Aug
anubis13–50.0938%5 Aug
cache11–130.0629%3 Aug
ancient13–100.0226%3 Aug
cache13–100.0214%28 Jul
inferno9–130.0422%17 Jul
inferno13–100.0824%16 Jul
cache13–110.0513%16 Jul
anubis5–13-0.0520%3 Jul
ancient13–90.0825%1 Jul
inferno8–130.0842%1 Jul
inferno8–13-0.0217%28 Jun
inferno13–80.0131%24 Jun
cache10–130.0232%22 Jun
inferno13–50.0726%19 Jun
anubis13–7-0.0127%14 Jun
cache8–13-0.0325%14 Jun
overpass10–130.0019%8 Jun
cache14–160.0313%7 Jun
nuke13–110.0931%5 Jun
inferno13–110.0722%30 May
cache13–60.0830%30 May
cache8–13-0.0126%29 May
anubis13–160.0530%23 May
cache13–110.0131%4 May
overpass13–100.1112%25 Apr
mirage11–13-0.0318%10 Apr
anubis13–90.0727%5 Feb
inferno13–100.0619%5 Feb
dust26–13-0.0235%24 Jan
nuke13–110.0321%24 Jan
train8–130.0049%23 Jan
nuke6–130.0744%23 Jan
ancient13–20.0517%22 Jan
anubis13–100.0816%22 Jan
train13–60.0744%6 Jan
nuke16–120.0525%6 Jan
mirage13–90.0524%20 Dec
inferno13–40.0922%19 Dec
nuke4–13-0.0336%15 Dec
overpass14–160.0420%9 Dec
ancient13–30.0328%9 Dec
nuke13–110.0931%9 Dec
inferno14–160.0626%9 Dec
nuke15–190.0321%7 Dec
overpass13–90.0724%7 Dec
train11–13-0.0215%5 Dec
nuke3–13-0.0218%5 Dec
ancient13–100.0926%5 Dec
train13–160.0520%5 Dec
inferno9–130.0125%30 Nov
inferno13–100.0020%26 Nov
nuke13–90.0633%26 Nov
inferno13–40.0437%22 Nov
inferno12–160.0221%22 Nov
nuke13–160.0623%22 Nov
overpass13–80.0519%22 Nov
train19–160.0828%22 Nov
inferno13–70.0721%8 Nov
inferno13–90.0320%28 Oct
nuke13–11-0.0220%28 Oct
mirage4–13-0.0721%28 Oct
inferno7–13-0.0124%28 Oct
dust216–140.0518%23 Oct
ancient10–130.0118%15 Oct
inferno13–50.1022%15 Oct
overpass16–120.0313%15 Oct
inferno11–130.0529%15 Oct
ancient13–80.0921%15 Oct
train13–100.0419%15 Oct
nuke19–150.1031%15 Oct
inferno22–190.0729%14 Oct
dust213–10-0.0123%13 Oct
inferno8–13-0.0331%13 Oct
ancient11–130.0427%13 Oct
overpass13–20.1920%8 Oct
overpass16–130.1526%4 Oct
dust213–110.0928%4 Oct
inferno10–130.0827%4 Oct
ancient8–130.0020%4 Oct
nuke10–130.0228%4 Oct
ancient13–100.0726%4 Oct
nuke5–13-0.0116%4 Oct
nuke8–130.0218%4 Oct
train10–130.0718%4 Oct
overpass22–250.0823%26 Sept
nuke19–170.0622%26 Sept
train8–13-0.0431%26 Sept
mirage13–90.0317%25 Sept
inferno13–7-0.0119%25 Sept
nuke9–130.0428%24 Sept
overpass11–130.0220%23 Sept
inferno13–100.1023%23 Sept
overpass13–9-0.0127%18 Sept
inferno9–130.0221%18 Sept
nuke13–8-0.0134%13 Sept
inferno7–13-0.0142%13 Sept

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
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