raz3n_

raz3n_ — CS2 Stats

TC76561198202009449[U:1:241743721]Steam profile ↗✓ No bans

985Tracked matches35%Win rate2020Tracked since
3,405Hours in CS
CSDB Rating5.4 DevelopingAll-Rounder
FaceitLevel 8 · 1,300 ELOTop 31.2% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 22 Sep 2026 (54 days ago). Ranks are recorded once per day this page is viewed.

No change since then — still 985 tracked matches. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 22,557 -557 17 Jun – 5 Aug · 8 days played
22,40323,883peak 23,88317 Jun5 Aug
Faceit ELO: 1,300 +0 29 Aug – 22 Sept · 6 observations
1,3001,300peak 1,30029 Aug22 Sept
23,992Peak Premier in tracked matches
1,300Highest Faceit ELO seen on CSDB
31Days played since 2026-05-22

Faceit ELO

  • At peak — 1,300
  • 0 over 30 days · steady
  • Next: Level 7 at 1,351 — 51 to go
  • Reached: Level 6 · Level 5 · Level 4 · Level 3
  • Level 6 first seen 2026-08-29
  • Level 5 first seen 2026-08-29

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do. Faceit ELO is CSDB’s own observation — no feed exposes ELO per match, so that line only has the days the profile was viewed and cannot be backfilled.

How this compares with the same rank

Median values for Level 8 among CSDB-tracked players (n=15,878), 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 playerLevel 8 medianLevel 9 medianvs Level 9
Headshot rate31.6%46.8%48.2%16.6% short
Shot accuracy17.8%13.0%13.2%above
Kill/death ratio1.091.061.07meets
Match win rate37.3%46.3%46.9%9.7% short

This profile matches the typical Level 9 player on 2 of 4 comparable metrics.

Widest gap: Headshot rate. That is the metric furthest from the Level 9 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGraz3n_FACEITLevel 8 · 1,300 ELOSTANDINGTop 31.2% of ranked30 DAYS0 ELOPEAK ELO1,300csdb.gg/stats

The image is a snapshot; the link keeps updating. Nothing here is published anywhere — it is generated in your browser when you click.

Performance scores

Aim86
Positioning56
Utility46

0–100 skill scores via Leetify.

Recent form

COLD47–48–5Last 10047%Win rateLLLLLWWWTL

Last 10 vs previous 10: −10pp win rate · +0.00 avg rating · −1.3pp headshot accuracy · −13ms reaction

Win rate −10pp 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

  • 0–5 · 0% win rate
  • Avg rating -0.02
  • Avg headshot accuracy 21%
  • Avg reaction 620ms

Last 10

  • 3–6–1 · 30% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 21%
  • Avg reaction 591ms

Last 20

  • 7–10–3 · 35% win rate
  • Avg rating 0.01
  • Avg headshot accuracy 22%
  • Avg reaction 597ms

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: All-Rounder — No style dimension stands clear of the others in this profile.

Aim8.6
Utility4.6
Positioning5.6
Opening Duels5.2
Clutch4.8

Sharp aimer

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

donk

Plays most like donk 90% playstyle similarity

Most alike: opening-duel success, utility contribution.

Where you differ: lower positioning 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

Strengths

Aim. Aim score of 86 — the mechanical foundation is a clear strength.

Areas to improve

Positioning. Positioning trails aim by 30 points — deaths here waste a strong aim profile.

Utility. Utility contribution runs far behind the mechanical game — the cheapest rating gain on this profile is thrown, not aimed.

Reaction time. 596ms 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

Aim8.6
Positioning5.6
Utility4.6
Mechanics7.4
Opening Duels4.9
Win Impact0.0

Composite 5.4/10 (Developing), 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-0.01−0.01
first ⅓ avg 0.01 → last ⅓ avg -0.01
Reaction time607ms−12ms
first ⅓ avg 619ms → last ⅓ avg 607ms
Headshot accuracy21.4%+0.6%
first ⅓ avg 20.8% → last ⅓ avg 21.4%

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.

Personal bests

0.14Best match rating · 13–5 · cache, 5 Aug →
53%Best headshot accuracy · 13–3 · dust2, 31 Jul →
438msFastest reaction time · 13–7 · dust2, 30 Jul →
13–0Biggest win · mirage, 15 Jul →

Across the last 100 tracked matches.

Highlights

5Longest win streak
L5Current streak
5–7In matches decided by ≤2 rounds
3Overtime games

Map breakdown

dust2Best map · 67% over 12anubisWeakest map · 30% over 10
MapGradePlayedRecordWin rateAvg rating
cacheC219–1243%-0.00
mirageB179–853%0.02
dust2S128–467%0.01
nukeC114–736%-0.02
anubisD103–730%-0.01
ancientD93–633%-0.04
infernoS64–267%0.03
trainD62–433%0.04
overpass—43–175%-0.00
debris—32–167%-0.00
vertigo—10–10%-0.05

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (30% over 10). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

277,541Lifetime kills
1.09K/D · Top 50% of Level 8 players
9,193Matches
37.3%Match win rate
31.6%Headshot %
17.8%Shot accuracy · Top 25% of Level 8 players
23,415MVPs
3,405Hours (in match)
6,410Bombs planted
1,889Bombs defused

Most-used weapons

AWP73,205
AK-4753,680
SSG 0811,893
Glock-1810,269
P2505,324
Knife3,574

Lifetime map wins

16,892dust2
6,993inferno
5,409nuke
4,571train
2,492cbble
2,032vertigo
240lake
131dust

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

Faceit stats

Combat

1,207Matches
52%Win rate
1.24Avg K/D
84.2ADR
43%Headshot %

Clutches & streaks

44%1v1 clutch win
20%1v2 clutch win
9Longest win streak

Recent Faceit resultsWLWWW

MapMatchesWin rateAvg K/DAvg kills
Dust22548%1.1615.9
Mirage2255%1.2218.3
Anubis2259%1.1816.3
Inferno1644%1.1715.4
Nuke1385%1.6120.2
Ancient1233%0.9913.1
Overpass6100%1.4217.0
Cache10%0.7311.0

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.

21.5%Headshot accuracy
36.9%Accuracy (enemy spotted)
41.4%Spray accuracy
83.5%Counter-strafing
7.3°Preaim
596msReaction time
42.3%T opening success
57.2%CT opening success
0.37Enemies flashed / flash
5.9%Flash assists
7.75HE damage / grenade
9.47Flashes / 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. 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 0.371 — below the 0.5 mark we flag

    Grenade Lineups →
Spend your practice time on Anubis

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

30% win rate across 10 tracked games — your weakest map with enough games to be worth reading into.

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache5–13-0.0416%25 Aug →
dust26–13-0.0415%25 Aug →
inferno8–13-0.0521%25 Aug →
anubis11–130.0225%25 Aug →
nuke14–160.0129%9 Aug →
ancient13–6-0.0119%6 Aug →
debris9–70.098%6 Aug →
cache13–50.1417%5 Aug →
train12–120.0533%5 Aug →
dust211–13-0.0531%5 Aug →
mirage15–150.0126%31 Jul →
cache5–130.0731%31 Jul →
dust213–30.0953%31 Jul →
dust213–7-0.0015%30 Jul →
anubis6–130.0221%29 Jul →
nuke13–3-0.0413%29 Jul →
nuke12–12-0.0220%29 Jul →
mirage5–13-0.087%28 Jul →
dust213–60.0528%28 Jul →
ancient4–130.0213%28 Jul →
ancient8–13-0.0411%27 Jul →
mirage3–13-0.1046%27 Jul →
ancient0–13-0.1124%26 Jul →
anubis12–12-0.0111%26 Jul →
mirage13–00.0315%15 Jul →
ancient10–13-0.099%15 Jul →
anubis7–13-0.0424%15 Jul →
cache7–13-0.0214%14 Jul →
mirage13–10-0.049%14 Jul →
nuke8–13-0.0213%14 Jul →
dust213–40.0843%14 Jul →
nuke7–13-0.0626%14 Jul →
vertigo6–9-0.0523%13 Jul →
inferno13–30.0144%13 Jul →
mirage0–13-0.100%13 Jul →
mirage3–130.1324%13 Jul →
debris2–9-0.136%12 Jul →
debris9–70.032%11 Jul →
dust24–130.0012%11 Jul →
mirage9–130.0321%11 Jul →
cache3–13-0.0217%11 Jul →
dust213–40.010%10 Jul →
mirage13–70.0415%10 Jul →
ancient4–13-0.0518%10 Jul →
dust216–14-0.0030%10 Jul →
cache5–13-0.0323%10 Jul →
nuke13–9-0.0421%10 Jul →
anubis13–110.0426%10 Jul →
nuke13–10-0.0311%10 Jul →
inferno13–110.0411%10 Jul →
cache13–10-0.0313%9 Jul →
mirage10–130.0231%9 Jul →
mirage13–50.1028%8 Jul →
cache8–130.0117%8 Jul →
dust213–90.0219%8 Jul →
cache13–10-0.0123%7 Jul →
cache7–13-0.0522%7 Jul →
mirage13–70.0337%2 Jul →
mirage13–60.1023%27 Jun →
anubis13–9-0.0021%27 Jun →
overpass13–50.0124%26 Jun →
nuke11–13-0.0317%26 Jun →
mirage13–30.1016%25 Jun →
train13–80.1216%23 Jun →
nuke7–13-0.0323%23 Jun →
anubis4–13-0.103%23 Jun →
cache13–50.0517%23 Jun →
inferno10–130.0821%23 Jun →
train13–5-0.0226%21 Jun →
train2–13-0.0127%21 Jun →
mirage3–130.014%21 Jun →
train11–130.1028%21 Jun →
anubis12–120.0530%21 Jun →
cache5–13-0.0110%21 Jun →
nuke11–130.0224%21 Jun →
inferno13–80.0626%21 Jun →
overpass13–50.0726%21 Jun →
ancient9–13-0.059%21 Jun →
mirage13–8-0.0217%17 Jun →
train11–130.0024%12 Jun →
nuke13–40.0718%12 Jun →
anubis8–13-0.0837%12 Jun →
overpass13–10-0.0612%12 Jun →
ancient13–60.0122%12 Jun →
inferno13–70.039%12 Jun →
cache5–13-0.0818%12 Jun →
ancient13–1-0.0118%5 Jun →
overpass5–13-0.0416%5 Jun →
cache3–130.0324%5 Jun →
dust213–100.0919%5 Jun →
mirage13–50.0816%5 Jun →
anubis13–80.0221%29 May →
dust21–13-0.0719%23 May →
cache13–8-0.0230%23 May →
cache13–9-0.0036%23 May →
cache13–00.0328%23 May →
cache13–50.0427%23 May →
cache10–13-0.0415%22 May →
cache3–13-0.1017%22 May →
cache13–30.0516%22 May →

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 →

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