ᵃʳⁱˢ

ᵃʳⁱˢ — CS2 Stats

PL76561198874841305[U:1:914575577]Steam profile ↗✓ No bans

944Tracked matches50%Win rate2020Tracked since
2,221Hours in CS17Hrs last 2 wks
CSDB Rating7.0 StrongAll-Rounder
Premier CS Rating18,057Purple band · top ~16.2% of ranked players (population est.)
WingmanThe Global Elite
Ladder ranks via Leetify

What changed since last observed

CSDB last observed this profile on 28 Oct 2026 (8 days ago). Ranks are recorded once per day this page is viewed.

−162Premier CS Rating · 18,219 → 18,057

Rating over time

Premier CS Rating: 18,057 +2,784 16 Feb – 5 Nov · 39 days played
13,67118,219peak 18,21916 Feb5 Nov
18,627Peak Premier in tracked matches
1,129Highest Faceit ELO seen on CSDB
47Days played since 2026-02-16

Faceit ELO

  • At peak — 1,129
  • Next: Level 6 at 1,201 — 72 to go
  • Reached: Level 5 · Level 4 · Level 3 · Level 2

Premier CS Rating

  • 162 below peak (18,219)
  • +15 over 90 days
  • Next: Pink band at 20,000 — 1,943 to go
  • Reached: 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 Purple band among CSDB-tracked players (n=37,767), 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 playerPurple band medianPink band medianvs Pink band
Headshot rate58.3%44.4%46.9%above
Shot accuracy8.8%11.9%13.0%4.2% short
Kill/death ratio1.221.031.08above
Match win rate41.2%45.2%46.7%5.5% short

This profile matches the typical Pink band player on 2 of 4 comparable metrics.

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

Share this profile

CSDB.GGᵃʳⁱˢPREMIER18,057 · Purple bandPEAK ELO1,129csdb.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

Aim85
Positioning64
Utility63

0–100 skill scores via Leetify.

Recent form

STEADY48–49–3Last 10048%Win rateLWLWWLWWWL

Last 10 vs previous 10: +20pp win rate · +0.02 avg rating · +1.2pp headshot accuracy · +20ms reaction

Win rate up 20pp across the last 10 against the 10 before — more than a 10-match window's normal noise (±20pp).

Last 5 · 10 · 20 matches

Last 5

  • 3–2 · 60% win rate
  • Avg rating 0.04
  • Avg headshot accuracy 22%
  • Avg reaction 605ms

Last 10

  • 6–4 · 60% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 610ms

Last 20

  • 10–10 · 50% win rate
  • Avg rating 0.03
  • Avg headshot accuracy 22%
  • Avg reaction 599ms

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.

Aim8.5
Utility6.3
Positioning6.4
Opening Duels5.4
Clutch5.6

Sharp aimerEffective flashes

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

m0NESY

Plays most like m0NESY 93% playstyle similarity

Most alike: utility contribution, opening-duel success.

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 85 — the mechanical foundation is a clear strength.

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

Areas to improve

Reaction time. 587ms 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
Positioning6.4
Utility6.3
Mechanics6.6
Opening Duels6.9
Win Impact5.0

Composite 7.0/10 (Strong), a weighted mean of the bars with a small opposition adjustment (×1.00 for this rank band). Formula versioned (v1) and documented in code.

Trends

Match rating0.02+0.02
first ⅓ avg -0.00 → last ⅓ avg 0.02
Reaction time588ms−88ms
first ⅓ avg 676ms → last ⅓ avg 588ms
Headshot accuracy20.7%−2.1%
first ⅓ avg 22.8% → last ⅓ avg 20.7%

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

0.14Best match rating · 13–6 · mirage, 26 Oct →
42%Best headshot accuracy · 13–9 · dust2, 22 Oct →
422msFastest reaction time · 12–16 · mirage, 31 Aug →
13–2Biggest win · dust2, 23 Oct →

Across the last 100 tracked matches.

Highlights

4Longest win streak
7–12In matches decided by ≤2 rounds
10Overtime games

Map breakdown

nukeBest map · 57% over 7anubisWeakest map · 38% over 8
MapGradePlayedRecordWin rateAvg rating
mirageB2613–1350%0.00
dust2C198–1142%0.01
infernoA1810–856%0.00
ancientA1810–856%0.01
anubisC83–538%-0.00
nukeA74–357%-0.02
cache—30–30%0.00
overpass—10–10%-0.10

Across the last 100 tracked matches.

Anubis is currently your weakest sufficiently-sampled map (38% over 8). Start with the 6 essential Anubis lineups, review the callouts, then spin up a practice server.

Lifetime stats

67,383Lifetime kills
1.22K/D · Top 25% of Purple band
3,117Matches
41.2%Match win rate
58.3%Headshot % · Top 10% of Purple band
8.8%Shot accuracy
5,959MVPs
1,054Hours (in match)
2,049Bombs planted
559Bombs defused

Most-used weapons

AK-4716,624
AWP4,944
SSG 082,674
MAC-102,077
MP91,404

Lifetime map wins

3,422inferno
1,875dust2
1,328vertigo
1,301nuke
724cbble
256train
41office
38ar_shoots

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

Faceit stats

Combat

163Matches
54%Win rate
1.01Avg K/D
86.0ADR
51%Headshot %

Clutches & streaks

48%1v1 clutch win
23%1v2 clutch win
8Longest win streak

Recent Faceit resultsLWWWW

MapMatchesWin rateAvg K/DAvg kills
Mirage5153%1.1215.7
Inferno2650%1.0615.6
Ancient2348%0.9516.6
Dust21974%0.8814.0
Anubis1464%0.9316.4
Nuke1346%1.0217.8
Cache757%1.0816.4
Vertigo540%0.8715.8

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.

20.8%Headshot accuracy
39.7%Accuracy (enemy spotted)
43.4%Spray accuracy
79.7%Counter-strafing
8.5°Preaim
587msReaction time
61.9%T opening success
53.0%CT opening success
0.73Enemies flashed / flash
7.7%Flash assists
10.78HE damage / grenade
10.10Flashes / match

Recommended for you

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.

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

Anubis callouts & strategy →Anubis grenade lineups →

Recent matches

MapScoreRatingHS%Date
cache11–130.0118%5 Nov →
inferno13–40.1110%28 Oct →
dust211–13-0.0518%26 Oct →
inferno13–60.0929%26 Oct →
ancient13–100.0634%26 Oct →
dust21–130.0241%26 Oct →
mirage13–60.1413%26 Oct →
inferno13–110.0221%24 Oct →
mirage13–4-0.0310%24 Oct →
inferno3–13-0.0431%23 Oct →
dust213–20.1222%23 Oct →
dust25–130.0323%23 Oct →
ancient13–90.0714%23 Oct →
cache6–130.0317%23 Oct →
nuke4–13-0.0517%23 Oct →
anubis9–130.0225%23 Oct →
dust213–9-0.0142%22 Oct →
ancient2–13-0.0324%19 Oct →
mirage13–80.0111%16 Oct →
ancient11–13-0.0216%3 Sept →
mirage12–16-0.0117%31 Aug →
mirage4–13-0.0318%31 Aug →
ancient13–11-0.0121%31 Aug →
ancient13–100.0925%19 Aug →
dust213–100.0625%5 Aug →
ancient10–130.0121%29 Jul →
nuke13–20.0313%23 Jul →
mirage11–13-0.0522%23 Jul →
inferno13–8-0.088%22 Jul →
mirage9–130.0321%22 Jul →
ancient13–70.0923%22 Jul →
dust25–130.0018%21 Jul →
ancient6–130.0118%21 Jul →
inferno13–100.0129%21 Jul →
ancient3–13-0.0713%21 Jul →
nuke13–40.028%21 Jul →
inferno16–14-0.0320%21 Jul →
dust27–130.0816%21 Jul →
anubis13–10-0.0619%21 Jul →
mirage13–8-0.0019%21 Jul →
mirage13–80.0527%21 Jul →
dust28–13-0.0510%17 Jul →
mirage13–60.0120%17 Jul →
inferno8–13-0.044%7 Jul →
mirage3–13-0.0410%6 Jul →
mirage13–10-0.0324%6 Jul →
anubis13–11-0.0115%6 Jul →
inferno9–13-0.0721%6 Jul →
dust210–13-0.0124%4 Jul →
inferno13–10-0.0115%4 Jul →
inferno11–13-0.0113%25 Jun →
mirage10–13-0.0312%25 Jun →
dust213–110.0618%10 Jun →
dust213–100.1123%10 Jun →
dust213–90.0015%28 May →
inferno13–6-0.0021%24 May →
cache9–13-0.0319%24 May →
inferno10–13-0.0111%6 May →
anubis15–150.0124%5 May →
anubis14–160.0119%5 May →
mirage13–30.0513%22 Apr →
inferno4–13-0.0610%22 Apr →
ancient13–80.0612%18 Apr →
mirage6–13-0.0218%17 Apr →
dust28–13-0.0525%14 Apr →
mirage3–13-0.0524%2 Apr →
ancient15–150.0125%2 Apr →
mirage13–20.1026%1 Apr →
anubis6–130.0314%22 Mar →
mirage13–16-0.0617%20 Mar →
nuke8–13-0.0920%20 Mar →
mirage3–130.0132%19 Mar →
mirage13–30.1024%19 Mar →
ancient13–90.0620%16 Mar →
mirage13–9-0.0112%16 Mar →
mirage11–13-0.0319%16 Mar →
inferno12–160.0316%15 Mar →
anubis15–15-0.0127%15 Mar →
ancient13–7-0.0436%14 Mar →
ancient13–9-0.0917%14 Mar →
anubis16–13-0.0219%10 Mar →
ancient11–130.0239%10 Mar →
ancient7–20.0222%1 Mar →
overpass1–6-0.1017%26 Feb →
nuke13–7-0.0218%26 Feb →
inferno13–100.0427%26 Feb →
dust210–13-0.0741%25 Feb →
inferno14–160.0618%25 Feb →
dust211–13-0.0337%25 Feb →
ancient11–13-0.0511%23 Feb →
mirage3–13-0.0625%23 Feb →
inferno13–20.0717%23 Feb →
mirage10–130.0414%20 Feb →
dust213–90.0017%20 Feb →
mirage13–11-0.0728%20 Feb →
mirage13–50.0222%19 Feb →
dust21–130.0128%19 Feb →
nuke13–11-0.0520%18 Feb →
nuke11–130.0129%18 Feb →
dust213–60.0524%16 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 →

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