QEaz

QEaz — CS2 Stats

76561198010764828[U:1:50499100]Steam profile ↗

6,907Tracked matches50%Win rate2020Tracked since
CSDB Rating6.5 SolidAggressive Rifler
FaceitLevel 10 · 2,910 ELOTop 12.4% of ranked FACEIT players
Ladder ranks via Leetify

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CSDB.GGQEazFACEITLevel 10 · 2,910 ELOSTANDINGTop 12.4% of rankedcsdb.gg/stats

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Performance scores

Aim80
Positioning64
Utility58

0–100 skill scores via Leetify.

Recent form

STEADY4753Last 10047%Win rateWWLWLLLLLW

Last 10 vs previous 10: -30pp win rate · -0.07 avg rating

Player DNA

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

Aim8.0
Aggression9.2
Utility5.8
Positioning6.4
Opening Duels4.1
Clutch3.6

Strong CT-side opener

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

device

Plays most like device 94% playstyle similarity

Most alike: positioning profile, opening-duel success.

Where you differ: 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

Preaim. Mechanical aim is strong but the crosshair sits 10.2° off target when enemies appear — placement, not flicking, is the bigger win available.

T-side openings. Opening success drops from 57% on CT to 36% on T — the same duels are being taken with worse setups on the attacking side.

Reaction time. 577ms 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

Aim8.0
Positioning6.4
Utility5.8
Mechanics6.1
Opening Duels4.1
Win Impact5.0

Composite 6.5/10 (Solid), 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 rating0.01+0.02
first ⅓ avg -0.01 → last ⅓ avg 0.01
Reaction time582ms−22ms
first ⅓ avg 604ms → last ⅓ avg 582ms
Headshot accuracy23.2%−1.3%
first ⅓ avg 24.5% → last ⅓ avg 23.2%

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

0.21Best rating — ancient 13–6
130Biggest win — ancient
7Longest win streak
W2Current streak
912In matches decided by ≤2 rounds
12Overtime games

Map breakdown

nukeBest map · 60% over 5infernoWeakest map · 42% over 12
MapGradePlayedRecordWin rateAvg rating
mirageB27131448%0.02
ancientC25111444%0.02
dust2B168850%0.00
anubisB147750%0.02
infernoC125742%0.02
nukeA53260%-0.00
overpass1010%0.07

Across the last 100 tracked matches.

Inferno is currently your weakest sufficiently-sampled map (42% over 12). Start with the 6 essential Inferno lineups, review the callouts, then spin up a practice server.

Faceit stats

Combat

10,965Matches
51%Win rate
1.05Avg K/D
80.3ADR
50%Headshot %

Clutches & streaks

38%1v1 clutch win
22%1v2 clutch win
13Longest win streak

Recent Faceit resultsWWLWL

MapMatchesWin rateAvg K/DAvg kills
Mirage130451%1.0516.6
Ancient98752%1.0817.3
Anubis88152%1.1017.4
Dust279451%1.0716.6
Inferno49850%1.0717.1
Nuke20848%1.0416.7
Vertigo16655%1.0516.9
Overpass7840%1.0015.6

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.

22.3%Headshot accuracy
37.7%Accuracy (enemy spotted)
42.8%Spray accuracy
77.6%Counter-strafing
10.2°Preaim
577msReaction time
35.6%T opening success
57.0%CT opening success
0.62Enemies flashed / flash
9.5%Flash assists
7.40HE damage / grenade
9.21Flashes / 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. 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 35.57% — below the 40% mark we flag

Spend your practice time on Inferno

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

42% win rate across 12 tracked games — your weakest map with enough games to be worth reading into.

Inferno callouts & strategyInferno grenade lineups

Recent matches

MapScoreRatingHS%Date
dust213–7-0.0130%27 Aug
ancient13–40.0121%27 Aug
ancient11–13-0.0522%26 Aug
nuke13–100.0525%24 Aug
ancient10–13-0.109%23 Aug
ancient6–13-0.0219%20 Aug
ancient8–130.1033%4 Aug
mirage7–13-0.0510%1 Aug
nuke11–13-0.0216%26 Jul
anubis13–90.0019%18 Jul
dust213–110.1124%4 Jul
anubis13–110.1721%3 Jul
inferno13–60.0324%18 Jun
mirage16–14-0.0423%8 Jun
mirage13–90.0822%6 Jun
ancient8–130.0121%6 Jun
ancient10–130.0221%5 Jun
mirage13–70.1129%5 Jun
mirage13–30.0638%31 May
ancient9–130.0428%30 May
inferno10–13-0.0226%29 May
mirage13–90.0233%21 May
nuke14–16-0.0119%13 May
ancient19–17-0.0419%13 May
mirage6–13-0.0127%10 May
anubis13–90.0617%10 May
inferno9–13-0.0622%9 May
mirage14–16-0.0412%2 May
inferno13–90.0019%26 Apr
ancient4–13-0.0419%20 Apr
ancient9–130.0127%18 Apr
dust29–130.0139%17 Apr
ancient11–13-0.0428%16 Apr
dust210–13-0.0625%16 Apr
dust213–50.0330%16 Apr
anubis10–130.0832%14 Apr
ancient13–40.1326%12 Apr
inferno11–130.1335%11 Apr
mirage13–70.1153%6 Apr
inferno6–130.0520%30 Mar
ancient13–0-0.0229%30 Mar
mirage13–40.0429%30 Mar
mirage10–130.0428%29 Mar
mirage10–130.1527%29 Mar
ancient10–130.0927%29 Mar
inferno16–140.0729%29 Mar
ancient13–80.0832%29 Mar
inferno6–130.1026%29 Mar
mirage9–130.1123%28 Mar
mirage13–60.1236%28 Mar
ancient13–110.0927%28 Mar
dust213–20.1130%27 Mar
mirage13–80.0724%27 Mar
dust213–40.0249%26 Mar
mirage13–90.0516%26 Mar
ancient13–50.0932%26 Mar
anubis11–130.0219%26 Mar
ancient13–60.2130%25 Mar
dust219–15-0.0227%24 Mar
anubis13–90.0126%15 Mar
anubis8–13-0.0423%13 Mar
mirage7–13-0.0629%7 Mar
anubis11–13-0.0330%24 Feb
anubis11–13-0.0330%24 Feb
mirage13–10-0.0125%20 Feb
anubis13–11-0.0225%20 Feb
mirage13–10-0.0520%18 Feb
dust29–130.0736%15 Feb
ancient6–13-0.0423%7 Feb
anubis13–100.0525%1 Feb
dust25–13-0.0719%1 Feb
ancient13–100.0529%1 Feb
anubis13–50.1025%31 Jan
dust26–13-0.0917%31 Jan
mirage16–14-0.0220%29 Jan
anubis11–13-0.0419%24 Jan
ancient13–110.0428%18 Jan
anubis5–13-0.0522%17 Jan
dust216–130.0230%6 Jan
mirage4–13-0.0032%4 Jan
mirage14–16-0.0315%24 Dec
dust28–13-0.0314%23 Dec
mirage8–13-0.0324%21 Dec
mirage13–160.0322%17 Dec
dust26–13-0.0143%16 Dec
dust216–19-0.0222%14 Dec
mirage8–13-0.0413%2 Dec
overpass10–130.0729%30 Nov
dust213–100.0028%24 Nov
ancient13–9-0.0125%23 Nov
mirage5–13-0.0912%23 Nov
inferno1–13-0.0417%22 Nov
inferno13–80.0334%21 Nov
ancient11–130.0226%21 Nov
nuke16–12-0.0013%19 Nov
inferno12–40.0034%18 Nov
nuke13–7-0.0230%17 Nov
mirage10–13-0.0335%15 Nov
inferno4–13-0.0230%14 Nov
ancient4–13-0.0518%10 Nov

Match data via Leetify.

Recent teammates

Milestones

Faceit Level 102.5K ELO1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →