ΛZRI ♆

ΛZRI ♆ — CS2 Stats

BE76561199584085582[U:1:1623819854]Steam profile ↗✓ No bans

3,912Tracked matches57%Win rate2025Tracked since
2,639Hours in CS
CSDB Rating7.3 StrongPositional Player
Premier CS Rating23,233Top 25% of 213,399 CSDB-tracked playersPink band · top ~4.9% of ranked players (population est.)
CSDB Leaderboard#41117 of 259996 tracked
FaceitLevel 9 · 993 ELOTop 20.7% of ranked FACEIT players
WingmanMaster Guardian Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 4 Nov 2026 (yesterday). Ranks are recorded once per day this page is viewed.

No change since then. Play, then come back: the next observation lands here.

Rating over time

Premier CS Rating: 23,233 -1,065 23 Oct – 4 Nov · 10 days played
22,90424,587peak 24,58723 Oct4 Nov
24,945Peak Premier in tracked matches
993Highest Faceit ELO seen on CSDB
13Days played since 2026-10-23

Faceit ELO

  • At peak — 993
  • Next: Level 5 at 1,051 — 58 to go
  • Reached: Level 4 · Level 3 · Level 2

Premier CS Rating

  • 1,354 below peak (24,587)
  • Next: Red band at 25,000 — 1,767 to go
  • Reached: Pink band · Purple band · Blue band · Light Blue band

Premier comes from this profile’s tracked match history, so it reaches back as far as those matches do.

How this compares with the same rank

Median values for Level 9 among CSDB-tracked players (n=15,132), 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 9 medianLevel 10 medianvs Level 10
Headshot rate69.5%48.2%50.9%above
Shot accuracy0.0%13.2%13.7%13.7% short
Kill/death ratio2.161.071.09above
Match win rate53.4%46.9%48.4%above

This profile matches the typical Level 10 player on 3 of 4 comparable metrics.

Widest gap: Shot accuracy. That is the metric furthest from the Level 10 median in relative terms — not necessarily the one holding a rank back, which no statistic here can establish.

Share this profile

CSDB.GGΛZRI ♆FACEITLevel 9 · 993 ELOSTANDINGTop 20.7% of rankedPREMIER23,233 · Pink bandPEAK ELO993csdb.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

Aim77
Positioning68
Utility66

0–100 skill scores via Leetify.

Recent form

HOT49–45–6Last 10049%Win rateWLWWWLLWWW

Last 10 vs previous 10: +20pp win rate · −0.01 avg rating · +1.9pp headshot accuracy · −91ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp). Average match rating moved the other way (−0.01), so results shifted more than performance did.

Last 5 · 10 · 20 matches

Last 5

  • 4–1 · 80% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 23%
  • Avg reaction 550ms

Last 10

  • 7–3 · 70% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 26%
  • Avg reaction 558ms

Last 20

  • 12–7–1 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 25%
  • Avg reaction 603ms

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: Positional Player — Positioning stands above the rest of this profile (+1.4 against its own average).

Aim7.7
Utility6.6
Positioning6.8
Opening Duels4.4
Clutch3.8

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.

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

Twistzz

Plays most like Twistzz 86% 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

Strengths

T openings. 62% T opening-duel success — entries that actually open the round.

Areas to improve

Reaction time. 590ms 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

Aim7.7
Positioning6.8
Utility6.6
Mechanics6.6
Opening Duels7.2
Win Impact7.4

Composite 7.3/10 (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 0.01 → last ⅓ avg 0.03
Reaction time592ms+45ms
first ⅓ avg 547ms → last ⅓ avg 592ms
Headshot accuracy23.7%−0.1%
first ⅓ avg 23.8% → last ⅓ avg 23.7%

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

0.22Best match rating · 13–5 · nuke, 3 Nov →
41%Best headshot accuracy · 9–13 · dust2, 24 Oct →
375msFastest reaction time · 8–13 · inferno, 30 Oct →
13–1Biggest win · train, 3 Nov →

Across the last 100 tracked matches.

Highlights

6Longest win streak
5–6In matches decided by ≤2 rounds
1Overtime games

Map breakdown

infernoBest map · 60% over 15dust2Weakest map · 31% over 16
MapGradePlayedRecordWin rateAvg rating
nukeB199–1047%0.03
dust2D165–1131%-0.01
infernoA159–660%0.02
mirageB137–654%0.04
vertigoC94–544%0.06
trainB84–450%0.05
ancientB84–450%0.00
anubisA74–357%0.03
cache—43–175%-0.00
overpass—10–10%0.00

Across the last 100 tracked matches.

Dust 2 is currently your weakest sufficiently-sampled map (31% over 16). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.

Lifetime stats

170,301Lifetime kills
2.16K/D · Top 5% of Level 9 players
4,344Matches
53.4%Match win rate · Top 10% of Level 9 players
69.5%Headshot % · Top 5% of Level 9 players
0.0%Shot accuracy
12,845MVPs
2,639Hours (in match)
4,284Bombs planted
2,064Bombs defused

Most-used weapons

AK-4791,097
FAMAS8,150
AWP4,837
MP94,616
MAC-101,923

Lifetime map wins

8,725dust2
6,851inferno
5,923nuke
2,147train
1,854vertigo
17italy
12office
9lake

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

Faceit stats

Combat

170Matches
56%Win rate
1.25Avg K/D
89.5ADR
55%Headshot %

Clutches & streaks

39%1v1 clutch win
25%1v2 clutch win
7Longest win streak

Recent Faceit resultsWLLLL

MapMatchesWin rateAvg K/DAvg kills
Mirage5153%1.2316.5
Dust23551%1.0616.1
Inferno2045%1.2919.9
Nuke2065%1.2117.5
Anubis2055%1.3318.1
Ancient1587%1.8218.4
Cache540%0.7013.2
Overpass475%1.4518.3

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.

23.2%Headshot accuracy
32.4%Accuracy (enemy spotted)
36.4%Spray accuracy
79.8%Counter-strafing
7.8°Preaim
590msReaction time
62.4%T opening success
55.4%CT opening success
0.57Enemies flashed / flash
9.0%Flash assists
8.02HE damage / grenade
7.67Flashes / match

Recommended for you

Spend your practice time on Dust 2

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

31% win rate across 16 tracked games — your weakest map with enough games to be worth reading into.

Dust 2 callouts & strategy →Dust 2 grenade lineups →

Recent matches

MapScoreRatingHS%Date
inferno9–00.0840%4 Nov →
anubis8–130.0216%4 Nov →
dust213–50.0524%4 Nov →
nuke13–110.0821%4 Nov →
anubis13–11-0.0216%4 Nov →
inferno4–13-0.0433%4 Nov →
mirage8–13-0.0017%4 Nov →
anubis13–60.0832%4 Nov →
cache13–90.0430%4 Nov →
dust213–90.1031%4 Nov →
train12–120.0833%4 Nov →
train13–10.0531%3 Nov →
vertigo11–130.0822%3 Nov →
mirage3–13-0.0324%3 Nov →
inferno13–10.1536%3 Nov →
dust26–13-0.045%3 Nov →
anubis13–11-0.0119%3 Nov →
anubis13–20.0426%3 Nov →
dust211–13-0.0112%3 Nov →
ancient13–70.1333%3 Nov →
ancient7–13-0.0523%3 Nov →
nuke13–50.2228%3 Nov →
anubis12–120.0816%2 Nov →
nuke13–7-0.0016%2 Nov →
vertigo6–13-0.0324%2 Nov →
train13–40.0031%2 Nov →
ancient8–13-0.0216%2 Nov →
nuke13–90.0522%2 Nov →
nuke10–13-0.0223%2 Nov →
dust25–13-0.0815%2 Nov →
mirage13–30.0421%2 Nov →
dust24–13-0.0317%2 Nov →
dust27–13-0.0225%1 Nov →
ancient7–13-0.0721%1 Nov →
dust213–11-0.0920%1 Nov →
cache5–13-0.0817%1 Nov →
inferno13–80.0616%1 Nov →
dust211–130.0834%1 Nov →
inferno13–50.0331%1 Nov →
mirage13–50.1336%1 Nov →
nuke13–30.0617%1 Nov →
ancient13–90.0625%1 Nov →
nuke12–120.1133%31 Oct →
inferno9–130.0321%31 Oct →
train8–13-0.0211%31 Oct →
vertigo13–30.1040%31 Oct →
vertigo1–6-0.080%30 Oct →
nuke3–13-0.0515%30 Oct →
inferno13–5-0.0416%30 Oct →
mirage13–40.1414%30 Oct →
inferno8–13-0.0610%30 Oct →
nuke5–130.0428%30 Oct →
mirage10–130.0523%29 Oct →
vertigo13–70.0717%29 Oct →
dust29–130.0415%29 Oct →
dust29–13-0.0722%29 Oct →
dust213–40.0139%29 Oct →
dust211–13-0.0316%29 Oct →
vertigo12–120.1323%28 Oct →
mirage9–130.0823%28 Oct →
overpass10–130.0023%28 Oct →
dust213–90.0217%28 Oct →
nuke13–60.0319%28 Oct →
ancient10–130.0626%27 Oct →
inferno13–20.0832%27 Oct →
nuke13–90.0927%27 Oct →
ancient13–7-0.0323%27 Oct →
inferno6–13-0.0420%27 Oct →
mirage13–50.0031%27 Oct →
nuke8–13-0.0319%27 Oct →
train13–90.0630%26 Oct →
mirage5–13-0.0026%26 Oct →
vertigo11–130.0223%26 Oct →
nuke9–130.0116%26 Oct →
mirage13–60.0525%26 Oct →
anubis5–130.0013%25 Oct →
dust29–13-0.0318%25 Oct →
cache13–60.0321%25 Oct →
train11–130.1227%25 Oct →
inferno7–130.0019%25 Oct →
nuke13–90.0328%25 Oct →
nuke13–70.0220%25 Oct →
nuke10–13-0.0613%25 Oct →
inferno13–1-0.0021%25 Oct →
vertigo13–100.0717%25 Oct →
inferno0–8-0.000%24 Oct →
dust29–13-0.0241%24 Oct →
train12–12-0.0421%24 Oct →
nuke8–130.0324%24 Oct →
nuke10–13-0.0132%23 Oct →
train13–50.1733%23 Oct →
vertigo13–50.1734%23 Oct →
mirage15–15-0.0530%23 Oct →
nuke9–13-0.0325%23 Oct →
ancient13–11-0.0725%23 Oct →
inferno13–4-0.0025%23 Oct →
mirage13–40.0531%23 Oct →
cache13–6-0.0023%23 Oct →
mirage13–90.0128%23 Oct →
inferno13–90.0324%23 Oct →

Match data via Leetify.

Recent teammates

Milestones

1,000 Matches
Compare this player with someone →Inventory value for this account →Where does this rating sit? Premier rank tiers →

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