mazey

mazey — CS2 Stats

DE76561198743254056[U:1:782988328]Steam profile ↗✓ No bans

735Tracked matches24%Win rate2020Tracked since
CSDB Rating2.1 LearningClutch Specialist
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 15 Sep 2026 (2 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 735 tracked matches. Play, then come back: the next observation lands here.

Track this profile

CSDB reads this profile's Premier rating from its tracked match history, and records Faceit ELO once on every day the page is viewed. 56 days played since 27 Feb 2025. Come back after the next session and the change shows above.

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Rating over time

1,114Highest Faceit ELO seen on CSDB
56Days played since 2025-02-27

Faceit ELO

  • At peak — 1,114
  • Next: Level 6 at 1,201 87 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2
  • Level 5 first seen 2026-09-15
  • Level 4 first seen 2026-09-15

CSDB’s own observations — this history builds from the day a profile is first viewed and cannot be backfilled.

Share this profile

CSDB.GGmazeyPEAK ELO1,114csdb.gg/stats

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Performance scores

Aim22
Positioning37
Utility23

0–100 skill scores via Leetify.

Recent form

COLD345610Last 10034%Win rateLLLWLLLLWL

Last 10 vs previous 10: 0pp win rate · +0.03 avg rating · −0.5pp headshot accuracy · +98ms reaction

Win rate 0pp across the last 10 against the 10 before — within the normal variation of a 10-match window (±20pp), so no real shift yet.

Last 5 · 10 · 20 matches

Last 5

  • 14 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 870ms

Last 10

  • 28 · 20% win rate
  • Avg rating -0.03
  • Avg headshot accuracy 17%
  • Avg reaction 801ms

Last 20

  • 416 · 20% win rate
  • Avg rating -0.04
  • Avg headshot accuracy 17%
  • Avg reaction 752ms

Newest first, from the last 100 tracked matches. Each block is its own sample — one result moves a 5-match win rate by 20 points.

Player DNA

Primary style: Clutch SpecialistLate-round 1vX conversion stands above the rest of this profile (+2.5 against its own average).

Aim2.2
Utility2.3
Positioning3.7
Opening Duels0.8
Clutch5.6

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.

What this cannot see yet: which weapons you use — so CSDB cannot identify an AWPer, and no style here implies a rifle or a sniper. It also cannot see how often you take opening duels, only how often you win them, nor where you hold, so roles that depend on those (entry, lurk, anchor) are deliberately absent rather than guessed. All of it needs round-by-round demo data, which is the next thing being built.

Your pro match

jL

Plays most like jL 72% playstyle similarity

Most alike: positioning profile, utility contribution.

Where you differ: lower opening-duel success; 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. 745ms from enemy-visible to first shot leaves fights decided before they start — warmup routines move this number more than anything else.

Counter-strafing. Only 64% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.

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

Aim2.2
Positioning3.7
Utility2.3
Mechanics3.1
Opening Duels1.1
Win Impact0.0

Composite 2.1/10 (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-0.04−0.02
first ⅓ avg -0.02 → last ⅓ avg -0.04
Reaction time746ms+5ms
first ⅓ avg 741ms → last ⅓ avg 746ms
Headshot accuracy16.2%+0.8%
first ⅓ avg 15.3% → last ⅓ avg 16.2%

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.

Personal bests

0.21Best match rating · 9–5 · brewery, 4 Sept
40%Best headshot accuracy · 8–2 · ancient, 23 Aug
508msFastest reaction time · 6–13 · inferno, 15 Jul
13–2Biggest win · nuke, 10 Aug

Across the last 100 tracked matches.

Highlights

4Longest win streak
L3Current streak
55In matches decided by ≤2 rounds
7Overtime games

Map breakdown

vertigoBest map · 60% over 5cacheWeakest map · 17% over 6
MapGradePlayedRecordWin rateAvg rating
infernoD2461825%-0.05
nukeC145936%-0.04
ancientD124833%-0.04
anubisB105550%-0.01
overpassD92722%-0.02
cacheD61517%-0.06
vertigoA53260%-0.05
train41325%0.01
brewery43175%-0.02
rooftop2020%-0.11
mirage1010%-0.01
boulder1010%-0.06
fachwerk110100%-0.03
poseidon1010%-0.08
stronghold1010%-0.06
alpine110100%-0.00
office110100%0.01
golden110100%-0.04
transit1010%-0.02
agency1010%0.00

Across the last 100 tracked matches.

Faceit stats

Combat

455Matches
49%Win rate
0.89Avg K/D
68.6ADR
35%Headshot %

Clutches & streaks

48%1v1 clutch win
17%1v2 clutch win
5Longest win streak

Recent Faceit resultsLWWLL

MapMatchesWin rateAvg K/DAvg kills
Inferno4452%0.8012.7
Anubis2945%0.9213.6
Ancient2748%0.9014.6
Nuke911%0.8014.3
Vertigo757%0.7714.1
Overpass475%0.9814.5
Dust2333%0.7813.7
Mirage333%0.6510.7

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.

16.0%Headshot accuracy
27.9%Accuracy (enemy spotted)
31.0%Spray accuracy
63.7%Counter-strafing
11.2°Preaim
745msReaction time
24.9%T opening success
38.6%CT opening success
0.31Enemies flashed / flash
0.6%Flash assists
7.28HE damage / grenade
4.00Flashes / 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 745.0126ms — 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 0.3083 — 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 24.8584% — below the 40% mark we flag

Spend your practice time on Cache

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

17% win rate across 6 tracked games — your weakest map with enough games to be worth reading into.

Cache callouts & strategy

Recent matches

MapScoreRatingHS%Date
anubis11–13-0.0116%2 Sept
inferno9–13-0.0915%2 Sept
ancient2–13-0.0510%25 Aug
ancient8–2-0.0540%23 Aug
ancient10–130.015%23 Aug
vertigo6–13-0.0614%13 Aug
train11–40.0526%13 Aug
mirage10–13-0.0115%13 Aug
inferno13–3-0.0514%13 Aug
nuke10–13-0.0212%29 Jul
anubis8–130.0117%29 Jul
cache6–13-0.0620%23 Jul
anubis13–9-0.0217%23 Jul
nuke13–16-0.0736%19 Jul
boulder3–13-0.0623%18 Jul
fachwerk13–7-0.0311%18 Jul
ancient9–13-0.0911%15 Jul
inferno6–13-0.1120%15 Jul
cache10–13-0.063%10 Jul
anubis3–13-0.0615%10 Jul
ancient16–14-0.0015%10 Jul
cache16–14-0.0511%9 Jul
inferno5–13-0.0118%29 Jun
ancient7–13-0.0812%24 Jun
anubis13–90.0019%24 Jun
inferno15–15-0.0611%23 Jun
cache9–13-0.0711%15 Jun
poseidon5–9-0.0816%19 May
cache10–13-0.0822%7 May
cache7–13-0.0513%7 May
stronghold9–13-0.0623%29 Mar
alpine13–8-0.009%29 Mar
ancient4–13-0.0814%3 Mar
inferno2–13-0.0317%3 Mar
ancient8–13-0.064%2 Feb
anubis13–70.0416%22 Jan
nuke6–9-0.1713%20 Jan
inferno5–9-0.1517%20 Jan
vertigo9–6-0.1126%12 Dec
nuke5–13-0.0915%12 Dec
ancient13–7-0.0723%12 Dec
overpass7–13-0.0628%12 Dec
anubis9–13-0.0627%7 Dec
inferno7–13-0.0613%4 Dec
ancient11–13-0.019%3 Dec
overpass4–13-0.0512%3 Dec
nuke8–13-0.0412%26 Nov
ancient5–13-0.0320%23 Nov
overpass11–13-0.0514%20 Nov
overpass8–13-0.0715%20 Nov
overpass11–13-0.034%12 Nov
vertigo9–5-0.1235%11 Nov
inferno13–11-0.0112%28 Oct
office13–90.0117%19 Oct
ancient13–60.0521%14 Oct
inferno6–13-0.0818%13 Oct
train14–16-0.0022%13 Oct
rooftop3–9-0.1916%9 Oct
nuke4–9-0.0529%9 Oct
inferno16–13-0.0411%9 Oct
train13–9-0.0016%7 Oct
inferno12–16-0.0410%7 Oct
golden13–8-0.0415%3 Oct
transit8–8-0.0215%2 Oct
rooftop8–8-0.0314%2 Oct
brewery9–60.044%30 Sept
inferno9–50.0713%30 Sept
nuke9–60.0130%29 Sept
train6–130.0010%28 Sept
nuke10–13-0.0518%27 Sept
anubis6–00.0712%26 Sept
overpass13–4-0.0015%26 Sept
nuke13–4-0.015%26 Sept
inferno10–13-0.0413%26 Sept
anubis13–6-0.0015%25 Sept
overpass9–10.0218%25 Sept
inferno12–120.005%24 Sept
inferno9–50.0313%22 Sept
anubis4–13-0.0314%21 Sept
nuke3–30.0015%21 Sept
overpass8–80.003%17 Sept
vertigo8–80.0115%17 Sept
inferno3–9-0.106%17 Sept
inferno1–9-0.280%17 Sept
overpass8–80.0510%17 Sept
brewery9–50.2117%4 Sept
inferno9–6-0.1317%4 Sept
brewery6–9-0.2219%2 Sept
inferno8–80.0233%2 Sept
nuke9–40.0623%2 Sept
nuke8–8-0.0027%15 Aug
inferno4–90.0219%15 Aug
brewery9–6-0.106%12 Aug
inferno6–9-0.0832%12 Aug
nuke13–2-0.0215%10 Aug
agency12–120.009%10 Aug
nuke3–13-0.0918%10 Aug
vertigo9–70.0114%14 Jun
inferno6–9-0.0429%14 Jun
inferno8–130.0111%27 Feb

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 →